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Research directions

Quantum mechanics studies the laws of physics on the level of individual atoms and elementary particles (which are fundamentally different from laws of the conventional physics). Quantum computing studies show how those fundamental differences can be exploited to create faster computers and better information processing devices. This is fundamental research, motivated by the possible applications of quantum computers in longer term future.

It is known that quantum computers can efficiently solve computational problems (e.g. factoring large numbers) which are difficult for conventional computers. Quantum mechanics can be also used to create new, more secure encryption technologies.

The main goal of our quantum computing research group is to design new algorithms for quantum computers. We have invented quantum algorithms for element distinctness problem (finding two equal elements in an array) and search in 2D arrays. Both of those algorithms use a new method based on quantum walks (quantum counterpart of random walks). We have also discovered that quantum computers with very small memory still have advantage over conventional computers.

Second direction of our research is proving lower bounds for quantum algorithms. A lower bound is a statement that any algorithm solving a certain problem must use at least T steps. Lower bounds are important because they allow to show that various quantum algorithms are optimal. Our main research result in this direction is the "quantum adversary" method for quantum lower bounds.

Our methods are widely used by other quantum computing researchers. Quantum walks are one of the most widely used methods for constructing quantum algorithms and has been used for a variety of different problems: graph problems, matrix problems, analysis of physical systems. "Quantum adversary" is the most widely used method for proving quantum lower bounds.

Researchers: Andris Ambainis, Aleksandrs Belovs, Abuzer Yakaryilmaz, Raqueline Azevedo Medeiros Santos, Ashutosh Rai, Aleksandrs Rivošs, Dmitrijs Kravčenko, Nikolajs Nahimovs, Kaspars Balodis, Jevgēnijs Vihrovs, Krišjānis Prūsis, Agnis Āriņš, Jānis Iraids, Mārtiņš Kokainis.

In collaboration with Tilde research is organized in the following areas:

  • automated translation
  • knowledge management
  • linguistic analysis
  • speech processing
  • conversational interfaces

Researchers: Andrejs Vasiļjevs, Inguna Skadiņa, Raivis Skadiņš, Matīss Rikters, Kaspars Balodis, Askars Salimbajevs, Mārcis Pinnis, Toms Bergmanis, Rihards Krišlauks, Jānis Zuters, Daiga Deksne, Gus Strazds, et al.

Representative and recent publications

  1. Fast text-based intent detection for inflected languages, Kaspars Balodis, Daiga Deksne, Information (Switzerland), Vol. 10, N 5 (2019), Article number 161, DOI: 10.3390/info10050161, URL: https://www.mdpi.com/2078-2489/10/5/161/htm, ISSN 2078-2489.
     
  2. Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages, Matīss Rikters, Mārcis Pinnis, Rihards Krišlauks, 11th International Conference on Language Resources and Evaluation, LREC 2018, May 7–12, Miyazaki, Japan: Abstracts Miyazaki, 2019, P. 3766–3773, URL: http://www.lrec-conf.org/proceedings/lrec2018/summaries/75.html, ISBN 9791095546009.
     
  3. Tilde’s Machine Translation Systems for WMT 2019, Mārcis Pinnis, Rihards Krišlauks, Matīss Rikters, Fourth Conference on Machine Translation (WMT 2019), August 1–2, 2019, Florence: Proceedings of the Conference Florence: The Association for Computational Linguistics, 2019 Vol. 2: Shared Task Papers, p. 526–533, URL: http://www.statmt.org/wmt19/pdf/WMT0035.pdf, ISBN 9781950737277.
     
  4. Some highlights of human language technology in baltic countries, Inguna Skadiņa, References: p. 29–30, Databases and Information Systems 10: Selected Papers from the Thirteenth International Baltic Conference (DBandIS 2018), Frontiers in Artificial Intelligence and Applications; Vol. 315, IOS Press, 2019, p.18–30: fig. DOI: 10.3233/978-1-61499-941-6-18, URL: http://ebooks.iospress.nl/publication/50989, ISBN 9781614999416 (electronic), ISSN 1879-8314 (electronic).
     
  5. Morphology-inspired word segmentation for neural machine translation, Jānis Zuters, Gus Strazds, Viktorija Ļeonova, Databases and Information Systems X, Frontiers in Artificial Intelligence and Applications; Vol. 315, Amsterdam; Berlin: Washington: IOS Press, 2019, Vol. 315 (2019), p. 225–239, DOI: 10.3233/978-1-61499-941-6-225, URL: http://ebooks.iospress.nl/publication/51006, ISBN 9781614999409, ISSN 0922-6389.
     
  6. Intent detection system based on word embeddings, Kaspars Balodis, Daiga Deksne, Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, Varna, 2018 Vol. 11089 (LNAI), p. 25–35. DOI: 10.1007/978-3-319-99344-7_3, URL: https://link.springer.com/chapter/10.1007/978-3-319-99344-7_3, ISBN 9783319993430, ISSN 0302-9743.
     
  7. Impact of Corpora Quality on Neural Machine Translation, Matīss Rikters, References: p. 132–133, 8th International Conference on Human Language Technologies – The Baltic Perspective (Baltic HLT 2018); 27–29 September, 2018, Tartu, Estonia: Proceedings / Eds.: Kadri Muischnek, Kaili Müürisep (Frontiers in Artificial Intelligence and Applications ; Vol. 307). p. 126–133: fig., tab. DOI: 10.3233/978-1-61499-912-6-126, URL: http://ebooks.iospress.nl/volumearticle/50313, ISBN 9781614999119, ISSN 0922-6389.
     
  8. Debugging Neural Machine Translations, Matīss Rikters, 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018), July 4, 2018, Trakai, Lithuania: Proceedings Trakai: Baltic DB&IS, 2018, Vol. 2158, p.3–12, URL: http://ceur-ws.org/Vol-2158/paper1.pdf, ISSN 1613-0073.
     
  9. Debugging Translations of Transformer-based Neural Machine Translation Systems, Matīss Rikters, Mārcis Pinnis, References: p. 415–417, Baltic Journal of Modern Computing Vol. 6, N 4 (2018), p. 403–417: fig., tab. http://dx.doi.org/10.22364/bjmc.2018.6.4.06. , URL: https://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/6_4_06_Rikters.pdf, ISSN 2255-8942.
     
  10. Combining machine translated sentence chunks from multiple MT systems, Matīss Rikters, Inguna Skadiņa, Machine Translation and Multilingualism, References: p. 35–37, Computational Linguistics and Intelligent Text Processing: 17th International Conference (CICLing 2016); April 3–9, 2016, Konya, Turkey: Revised Selected Papers / Ed. Alexander Gelbukh (Lecture Notes in Computer Science; Theoretical Computer Science and General Issues), Springer, 2018, Vol. 9624, Part 2: Machine Translation and Multilingualism, p. 27–37: fig., tab. https://doi.org/10.1007/978-3-319-75487-1_3, URL: https://www.researchgate.net/publication/311708250_Combining_machine_translated_sentence_chunks_from_multiple_MT_systems , URL: https://link.springer.com/chapter/10.1007/978-3-319-75487-1_3, ISBN 9783319754864, ISSN 0302-9743.
     
  11. Advancing Estonian Machine Translation, Matīss Rikters, Mārcis Pinnis, Roberts Rozis, References: p. 140–141, Human Language Technologies – The Baltic Perspective: Proceedings of the Eighth International Conference Baltic (HLT 2018), Eds.: Kadri Muischnek, Kaili Müürisep (Frontiers in Artificial Intelligence and Applications; Volume 307), p. 134–141: tab., fig. DOI: 10.3233/978-1-61499-912-6-134, URL: http://ebooks.iospress.nl/volumearticle/50314, ISBN 9781614999119, ISSN 0922-6389.
     
  12. Effective Online Learning Implementation for Statistical Machine Translation, Toms Miks, Mārcis Pinnis, Matīss Rikters, Rihards Krišlauks, Cognitive Computing, Databases and Information Systems: 13th International Baltic Conference (DB&IS 2018); Trakai, Lithuania, July 1–4, 2018: Proceedings, Eds.: Audrone Lupeikiene, Olegas Vasilecas, Gintautas Dzemyda (Communications in Computer and Information Science). Springer, 2018, Vol. 838, p. 302–313, https://doi.org/10.1007/978-3-319-97571-9_24, URL: https://link.springer.com/chapter/10.1007/978-3-319-97571-9_24, ISBN 9783319975702, ISSN 1865-0929.
     
  13. Semi-automatic quasi-morphological word segmentation for neural machine translation, Jānis Zuters, Gus Strazds, Kārlis Immers, Databases and Information Systems: 13th International Baltic Conference, DB&IS 2018, July 1–4, 2018, Trakai, Lithuania: Proceedings, Communications in Computer and Information Science, Springer, 2018 Vol. 838 (2018), p. 289–301, DOI: 10.1007/978-3-319-97571-9_23, URL: https://link.springer.com/chapter/10.1007%2F978-3-319-97571-9_23, ISBN 9783319975702, ISSN 1865-0929.
     
  14. Paying Attention to Multi-Word Expressions in Neural Machine Translation, Matīss Rikters, Ondřej Bojar, References: p. 99–101,  Machine Translation Summit XVI, September 18–22, 2017, Nagoya, Aichi, Japan: Proceedings, International Association for Machine Translation Nagoya; Aichi, 2017 Vol.1: MT Research Track, p. 92: fig., URL: http://aamt.info/app-def/S-102/mtsummit/2017/wp-content/uploads/sites/2/2017/09/MTSummitXVI_ResearchTrack.pdf#92
     
  15. Confidence through Attention, Matīss Rikters, Mark Fishel, References: p. 309–311, Machine Translation Summit XVI, September 18–22, 2017, Nagoya, Aichi, Japan: Proceedings, ed.: S. Kurohashi, P. Fung Nagoya, 2017. Vol. 1: MT Research Track, p. 299–311: fig., URL: http://aamt.info/app-def/S-102/mtsummit/2017/wp-content/uploads/sites/2/2017/09/MTSummitXVI_ResearchTrack.pdf#92
     
  16. Visualizing Neural Machine Translation Attention and Confidence, Matīss Rikters, Mark Fishel, Ondřej Bojar. Bibliography: p. 49–50, The Prague Bulletin of Mathematical Linguistics Nr. 109 (2017), p. 39–50: fig., URL: https://ufal.mff.cuni.cz/pbml/109/art-rikters-fishel-bojar.pdf ISSN 0032-6585.
     
  17. C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17, Matīss Rikters, Chantal Amrhein, Maksym Del, Mark Fishel. References: p. 387–388, EMNLP 2017: 2nd Conference on Machine Translation (WMT17), September 7–8, 2017, Copenhagen, Denmark: Proceedings Copenhagen, 2017, p. 382–388: tab., URL: http://statmt.org/wmt17/pdf/WMT38.pdf, ISBN 9781945626968.
     
  18. System for speech transcription and post-editing in MicrosoftWord, Askars Salimbajevs, Indra Ikauniece, 18th Annual Conference of the International Speech Communication Association, Interspeech 2017; Stockholm, Sweden, 20–24, August, 2017: Proceedings International Speech Communication Association, 2017. p. 825–826, DOI: 10.21437, Interspeech, 2017–2045, URL: http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=MarkedList&qid=27&SID=E29YI1uyxd14pDb9tpk&page=12&doc=594&colName=WOS, ISSN 2308-457X.
     
  19. Interactive Multi-System Machine Translation with Neural Language Models, Matīss Rikters, References: p. 279–280, Databases and Information Systems IX: 12th International Baltic Conference on Databases and Information Systems (DB and IS), July 4–6, 2016, Riga, Latvia (Frontiers in Artificial Intelligence and Applications). Vol. 291 (2016), p. 269–280, DOI:10.3233/978-1-61499-714-6-269, URL: http://ebooks.iospress.com/volumearticle/45718, ISBN 9781614997146, ISSN 0922-6389.
     
  20. Syntax-based Multi-system Machine Translation, Matīss Rikters, Inguna Skadiņa, References: p. 590–591, 10th International Conference on Language Resources and Evaluation, (ELRA 2016), May 23–28, 2016, Portorož, Slovenia: Proceedings Portorož, 2016, p. 585–591, URL: http://www.lrec-conf.org/proceedings/lrec2016/pdf/156_Paper.pdf, ISSN 9782951740891.
     
  21. Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation, Matīss Rikters, 3rd Workshop on Asian Translation (WAT 2016), December, 11–16, 2016, Osaka, Japan: Proceedings of the Workshop Osaka, 2016, p. 1–8, URL: http://www.aclweb.org/anthology/W/W16/W16-45.pdf#page=18, ISBN 9784879747136.
     
  22. Multi-word Expressions in English-Latvian Machine Translation, Inguna Skadiņa, References: p. 824–825, Baltic Journal of Modern Computing Vol. 4, N 4 (2016), p. 811–825, http://dx.doi.org/10.22364/bjmc.2016.4.4.14, URL: http://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/4_4_14_Skadina.pdf, ISSN 2255-8950.
     
  23. Multi-word expressions in English-Latvian SMT: Problems and solutions, Inguna Skadiņa, Human Language Technologies – The Baltic Perspective, Frontiers in Artificial Intelligence and Applications; Vol. 289 (2016), p. 97–104, DOI: 10.3233/978-1-61499-701-6-97, URL: http://ebooks.iospress.nl/volume/human-language-technologies-the-baltic-perspective-proceedings-of-the-seventh-international-conference-baltic-hlt-2016, ISBN 9781614997009, ISSN 0922-6389.
     
  24. Tezaurs.lv: The largest open lexical database for Latvian, Andrejs Spektors, Ilze Auzina, Roberts Dargis, Normunds Gruzitis, Peteris Paikens, Lauma Pretkalnina, Laura Rituma, Baiba Saulite, 10th International Conference on Language Resources and Evaluation, LREC 2016, 23–28 May, 2016, Portorož, Slovenia: Proceedings Portorož, 2016, p. 2568–2571, URL: http://www.lrec-conf.org/proceedings/lrec2016/summaries/1095.html, ISBN 9782951740891.
     
  25. K-Translate – Interactive Multi-system Machine Translation, Matīss Rikters, Databases and Information Systems: 12th International Baltic Conference, DB&IS 2016, Rīga, Latvia, July 4–6, 2016: Proceedings, Communications in Computer and Information Science; Vol. 615, p. 304–318, DOI: 10.1007/978-3-319-40180-5_21, URL: http://link.springer.com/chapter/10.1007/978-3-319-40180-5_21, ISBN 9783319401799.
     
  26. The strategic impact of META-NET on the regional, national and international level, Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, Núria Bel, Audronė Bielevičienė, Lars Borin, António Branco, Gerhard Budin, Nicoletta Calzolari, Inguna Skadiņa ... [et al.], Language Resources and Evaluation Vol. 50, N 2 (2016), p. 351–374, DOI: 10.1007/s10579-015-9333-4, URL: https://link.springer.com/article/10.1007%2Fs10579-015-9333-4, ISSN 1574-020X.

What is software quality and how to measure it ? What is data quality and how to measure it ? How to test software ?

Researchers: Jānis Bičevskis, Zane Bičevska, Juris Borzovs, Vineta Arnicāne, Guntis Arnicāns, Ivo Odītis, Anita Jansone, Anastasija Ņikiforova, Anete Nesaule, et al.

Representative and recent publications

  1. Automatic Construction of Complete Sample System for Program Testing, J.J. Bičevski, J.M. Barzdin, A.A. Kalninsh, IFIP Congress: congress proceedings, 1977, p. 57–62.
     
  2. SMOTL – a system to construct samples for data processing program debugging, J. Bicevskis, J. Borzovs, U. Straujums, A. Zarinš, E. F. Miller, IEEE Transactions on Software Engineering Vol. SE-5, N 1 (1979), p. 60–66, DOI: 10.1109/TSE.1979.226498, URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1702588&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D1702588 ISSN 0098-5589.
     
  3. Automatic construction of test sets: practical approach, Juris Borzovs, Audris Kalniņš, Inga Medvedis. Bibliogr.: p. 430–432, Baltic computer science: selected papers, eds.: J. Bārzdiņš, D. Bjørner, Berlin: Springer-Verlag, 1991, p. 360–432.
     
  4. What Software Test Approaches, Methods, and Techniques are Actually Used in Software Industry?, Laura Strazdiņa, Vineta Arnicane, Guntis Arnicans, Jānis Bičevskis, Juris Borzovs, Ivans Kuļešovs, Conference Forum, References: p. 21–22, Baltic DB&IS 2018 Conference Forum and Doctoral Consortium co-located with the 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018); July 1–4, 2018, Trakai, Lithuania: Joint Proceedings, Eds.: Audrone Lupeikiene, Raimundas Matulevičius, Olegas Vasilecas (CEUR Workshop Proceedings), Vol. 2158 (2018), p.[13]–22 : fig., tab., URL: http://ceur-ws.org/Vol-2158/paper2.pdf ISSN 1613-0073.
     
  5. Inventory of testing ideas and structuring of Testing terms, Ivans Kuļešovs, Vineta Arnicāne, Guntis Arnicāns, Juris Borzovs. Bibliogr.: p. 226–227, Baltic Journal of Modern Computing Vol.1, N 3/4 (2013), p. 210–227: fig., URL: http://www.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/1_3-4_6_Kulesovs_a.pdf, ISSN 2255-8950.
     
  6. Jansone, Anita. An approach to cadastral map quality evaluation in the Republic of Latvia, Anita Jansone, Juris Borzovs, References: p. 288. lpp, Datorzinātne un informācijas tehnoloģijas = Computer Science and Information Techologies, Latvijas Universitātes raksti = Scientific papers University of Latvia, Latvijas Universitāte; Vol. 733, 2008, p. 261–288: tab., URL: https://dspace.lu.lv/dspace/handle/7/1163
     
  7. An Extended Data Object-driven Approach to Data Quality Evaluation: Contextual Data Quality Analysis, Anastasija Ņikiforova, Jānis Bičevskis, ICEIS 2019: 21st International Conference on Enterprise Information Systems, May 3–5, 2019, Heraklion, Crete, Greece: Proceedings, ed.: Joaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi. Setúbal: Scitepress, 2019, Vol. 1, paper number 214, p. 274–281, DOI: 10.5220/0007838602740281, URL: https://www.scitepress.org/PublicationsDetail.aspx?ID=GGVKFezsuvY=&t=1, ISBN 9789897583728, ISSN 2184-4992.
     
  8. Towards Data Quality Runtime Verification, Janis Bicevskis, Zane Bicevska, Anastasija Nikiforova, Ivo Oditis, Preproceedings of the Federated Conference on Computer Science and Information Systems, September 1–4, 2019, Leipzig, Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki (eds.), Leipzig: Polish Information Processing Society, Institute of Electrical and Electronics Engineers, 2019, p. 647–651, URL: https://annals-csis.org/proceedings/2019/pliks/fedcsis.pdf
     
  9. An Approach to Data Quality Evaluation, Jānis Bičevskis, Zane Bičevska, Anastasija Ņikiforova, Ivo Odītis, 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), 15–18 October, 2018, Valencia, Spain Valencia, 2018 p. 196–201, DOI: 10.1109/SNAMS.2018.8554915, URL: https://ieeexplore.ieee.org/document/8554915, ISBN 9781538695890.
     
  10. An Approach for iOS Applications’ Testing, Ivans Kuļešovs, Juris Borzovs, Aigars Susters, Vineta Arnicane, Guntis Arnicans, Kirils Keiduns, Janis Skutelis, References: p. 89–91, Baltic Journal of Modern Computing, Vol. 6, N 1 (2018), p. [56]–91 : fig., tab. https://doi.org/10.22364/bjmc.2018.6.1.05, URL: https://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/6_1_05_Kulesovs.pdf , URL: https://doaj.org/toc/2255-8950?source = ISSN 2255-8942.
     
  11. Data quality evaluation: a comparative analysis of company registers’ open data in four European countries, Janis Bicevskis, Zane Bicevska, Anastasija Nikiforova, Ivo Oditis, Information Technology for Management, Business & Society, References: p. 204, Annals of Computer Science and Information Systems: 2018 Federated Conference on Computer Science and Information Systems; 13th Conference on Information Systems Management; September 9–12, 2018, Poznań, Poland: Communication Papers, Eds.: Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki Poznan, 2018. Vol. 17, p.197–204 : fig., tab. http://dx.doi.org/10.15439/2018F92, URL: https://annals-csis.org/proceedings/2018/drp/pdf/92.pdf, ISBN 9788395235702, ISSN 2300-5963.
     
  12. What Software Test Approaches, Methods, and Techniques are Actually Used in Software Industry?, Laura Strazdiņa, Vineta Arnicane, Guntis Arnicans, Jānis Bičevskis, Juris Borzovs, Ivans Kuļešovs, Conference Forum, References: p. 21–22, Baltic DB&IS 2018 Conference Forum and Doctoral Consortium co-located with the 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018); July 1–4, 2018, Trakai, Lithuania: Joint Proceedings, Eds.: Audrone Lupeikiene, Raimundas Matulevičius, Olegas Vasilecas (CEUR Workshop Proceedings), Vol. 2158 (2018), p .[13]–22: fig., tab., URL: http://ceur-ws.org/Vol-2158/paper2.pdf, ISSN 1613-0073.
     
  13. Executable Data Quality Models, Janis Bicevskis, Zane Bicevska, Girts Karnitis, References: p. 145, Procedia Computer Science: ICTE 2016, December 2016, Riga, Latvia Vol. 104 (2017), p. [138]–145: fig. https://doi.org/10.1016/j.procs.2017.01.087, URL: http://www.sciencedirect.com/science/article/pii/S1877050917300881?via%3Dihub, ISSN 1877-0509.
     
  14. Domain-Specific Characteristics of Data Quality, Ivo Oditis, Janis Bicevskis, Zane Bicevska, References: p. 1003, Federated Conference on Computer Science and Information System (FedCSIS); Prague, Czech Republic, September 3–6, 2017: Proceedings Prague: FedCSIS, 2017, Vol. 11, Article number: 8104675, p. 999–1003: fig. http://dx.doi.org/10.15439/2017F279, URL: https://annals-csis.org/proceedings/2017/drp/pdf/279.pdf, ISBN 9788394625375, ISSN 2325-0348.
     
  15. Asynchronous Runtime Verification of Business Processes: Proof of Concept, Odītis Ivo, Jānis Bičevskis, International Journal of Simulation, Systems, Science & Technology (IJSSST), Vol. 16, N 6 (2015), p. 6.1–6.11, DOI: 10.5013/IJSSST.a.16.06.06, URL: http://ijssst.info/Vol-16/No-6/paper6.pdf, ISSN 1473-8031.
     
  16. Runtime verification of business processes, Ivo Oditis, Janis Bicevskis. References: p. 370, Databases and Information Systems: proceedings of the 11th International Baltic Conference: Baltic DB&IS 2014, Tallinn, Estonia, June 8–11, 2014, ed.: H. Mai Haav, A. Kalja, T. Robal, Tallinn: Tallinn University of Technology, 2014, p. 363–370, ISBN 9789949236329.
     
  17. Software self-testing, Edgars Diebelis, Janis Bicevskis, Frontiers in Artificial Intelligence and Applications, Vol.249 (2013), p. 249–262, URL: http://ebooks.iospress.nl/publication/7685
     
  18. Testing of RUAV and UGV Robots' Collaboration in the Simulink Environment, Janis Bicevskis, Artis Gaujens, Janis Kalnins; with short inform. about aut. Bibliogr.: p. 159–160, Baltic Journal of Modern Computing, Vol.1, N 3/4 (2013), p. 139–160: fig., URL: http://www.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/1_3-4_2_Bicevskis.pdf, ISSN 2255-8950.
     
  19. Self-Testing: A New Testing Approach, Zane Bičevska, Jānis Bičevskis. References: p. 188–189, Databases and Information Systems: proceedings of the eighth international Baltic conference Baltic DB&IS 2008, Tallin, June 2–5, 2008, Tallinn: Tallinn University of Technology Press, 2008, p. 179–189: fig.

Today data warehousing is facing the challenge of Big Data. Variety of new problems connected with the volume are emerging. However, traditional data warehousing problems remain open.

Data warehouse evolution problems have been studied in the context of relational database environments. A multi-versioning approach to handle data warehouse evolution has been introduced, and a tool to define and execute reports on multiple data warehouse schema versions has been implemented. The tool is based on metadata models that describe data warehouse schema versions at conceptual, logical and physical levels.

Due to the emergence of Big Data technologies and the necessity to perform OLAP-like analysis over Big Data, innovative data warehousing solution over Big Data capable of adapting to evolving user needs and changes in the underlying data sources is being developed.

Developing a data warehouse that fits all requirements of potential users is not an easy task. In the course of research a metamodel for representing information requirements (acquired from user interviews) in a more formal way has been proposed. Also, a semi-automated method for transforming collected information requirements to a conceptual model of a data warehouse has been developed. A tool prototype (iReq) provides input of formalized information requirements and generates candidate conceptual models of a data warehouse to map requirements to design.

Due to the large volumes of data and reports accumulated in data warehouses, report exploration and execution is a tedious and time-consuming task. A data warehouse personalization approach aimed to deliver the data that is most relevant for a user has been developed. A recommendation component based on the implicitly or explicitly defined user preferences on elements of the data warehouse schema was implemented in the reporting tool and evaluated by a set of real users in terms of an empirical study.

Researchers: Darja Solodovņikova, Natālija Kozmina, Laila Niedrīte

To build complex information systems in web enironment, special methods and architectures are necessary. An architecture of a multi-tenant adaptive web-based information system, which employs the idea of using software as a service, is proposed. The adaptation process is based on a comprehensive user model.  

A special case of information systems that need adaptation are e-learning systems with a specific user model, e.g. learner model that serves as a basis for the adaptation. Also, specific adaptation methods have to be developed.

Researchers: Aivars Niedrītis, Vija Vagale, Laila Niedrīte, Arnis Voitkāns

Terminology work is multidisciplinary and draws support from a number of disciplines (e.g. logic, epistemology, philosophy of science, linguistics, translation studies, information science and cognitive sciences) in its study of concepts and their representations in special language and general language. It combines elements from many theoretical approaches that deal with the description, ordering and transfer of knowledge.

The terminology work is concerned with terminology used for unambiguous communication in natural, human language. The goal of terminology work is, thus, a clarification and standardisation of concepts and terminology for communication between humans. Terminology work may be used as input for information modelling and data modelling.

The principles and methods should be observed not only for the manipulation of terminological information, but also in the planning and decision-making involved in managing a stock of terminology. The main activities include, but are not limited to, the following:

  • identifying concepts and concept relations;
  • analysing and modelling concept systems on the basis of identified concepts and concept relations;
  • establishing representations of concept systems through concept diagrams;
  • defining concepts;
  • attributing designations (predominantly terms) to each concept in one or more languages;
  • recording and presenting terminological data, principally in print and electronic media (terminography).

Objects, concepts, designations and definitions are fundamental to terminology work. Objects are perceived or conceived and abstracted into concepts, which, in special languages, are represented by designations and/or definitions. The set of designations belonging to one special language constitutes the terminology of a specific subject field.

Researchers: Vineta Arnicāne, Juris Borzovs, Dace Šostaka, Viesturs Vēzis et al.

Latvian ICT terminology is available here: http://termini.lza.lv/term.php

Representative and recent publications

  1. Sistēmiska latviešu datorterminoloģijas izstrāde, Juris Borzovs, Ilze Ilziņa, Valentīna Skujiņa, Ilze Vancāne, Latvijas Zinātņu akadēmijas Vēstis, A. – 2001, Vol. 55, 1./2. (612./613.) No., p. 83–91.
     
  2. Towards consolidation of European terminology resources : experience and recommendations from EuroTermBank project, [edited by: Signe Rirdance, Andrejs Vasiļjevs; authors and contributors: Juris Borzovs, Raivis Skadiņš, Valentīna Skujiņa, Andrejs Vasiļevs et al., Rīga: Tilde, 2006, p. 123, Bibliogr.: p. 117–123, ISBN 9984913341.
     
  3. A light insight into Latvian and Lithuanian ICT terminology: whether kindred language imply kindred terminology?, Juris Borzovs, Databases and Information Systems: 13th International Baltic Conference, DB&IS 2018, July 1–4, 2018, Trakai, Lithuania: Proceedings, Communications in Computer and Information Science, Springer, 2018, Vol. 838 (2018), p. 8–11, DOI: 10.1007/978-3-319-97571-9_2, URL: https://link.springer.com/chapt
     
  4. Heuristic Method to Improve Systematic Collection of Terminology, Vineta Arnicane, Guntis Arnicans, Juris Borzovs, Databases and Information Systems: 12th International Baltic Conference, DB&IS 2016, Riga, Latvia, July 4–6, 2016: Proceedings (Communications in Computer and Information Science; Vol. 615), p. 337–351, DOI: 10.1007/978-3-319-40180-523, URL: http://link.springer.com/chapter/10.1007/978-3-319-40180-5_23 ISBN 9783319401799. ISSN 1865-0929.
     
  5. Terminology localization guidelines for the national scenario, Borzovs Juris, Ilziņa Ilze, Keiša Iveta, Pinnis Mārcis, Vasiļjevs Andrejs. Bibliogr.: p. 4016–4017, 9th International conference on Language Resources and Evaluation, May 26–31, 2014 (LREC'14) : Proceedings Reykjavik: European Language Resources Association, 2014, p. 4012–4017, URL: http://www.lrec-conf.org/proceedings/lrec2014/index.html, ISBN 9782951740884.
     
  6. Information technology term development practice in Latvia and Lithuania, Juris Borzovs, Albina Auksoriūtė, Ilze Irēna Ilziņa, Tarptautinė mokslinė konferencija "Terminologija ir terminografija: raida, aktualijos, perspektyvos": tezės, Vilnius, 2013 m. spalio 10–11 d. = International scientific conference "Terminology and Terminography: Development, Topicalities, Perspectives": abstracts, Vilnius, 10–11 October 2013, Lietuvių kalbos instituto Terminologijos centras Vilnius: Lietuvių kalbos instituto Terminologijos centras, 2013.
     
  7. Juris Borzovs, Ilze Irēna Ilziņa, Keiša Iveta, Mārcis Pinnis, Andrejs Vasiļjevs, Terminoloģija un valodas prakse, Aktuālas tendences terminoloģijas teorijā un praksē: rakstu krājums, sast. Iveta Pūtele; LU Latviešu valodas institūts, Rīga: LU Latviešu valodas institūts, 2013, p. 108–126, ISBN 9789984742724.
     
  8. Informācijas tehnoloģijas terminu lietošanas paradumi publiskajā saziņā = Information technology term usage practice in public communication, Juris Borzovs, Ilze Irēna Ilziņa, Iveta Keiša, Andrejs Vasiļjevs, Mārcis Pinnis, Eduards Cauna, E. Drezena (1892–1937) piemiņai veltītā 3. starptautiskā terminoloģijas konference "Aktuālās tendences terminoloģijas teorijā un praksē"referātu anotācijas = The 3rd International conference on terminology "Current trends in terminology theory and practice" in commemoration of E. Drezen's 120th anniversary: annotations: Rīga, 25–26.10.2012, Latvijas Zinātņu akadēmija, LU Latviešu valodas institūts, Rīga: Latvijas Zinātņu akadēmija; LU Latviešu valodas institūts, 2012, p. 17–18.
     
  9. The problems of Latvian ICT terms and English borrowings, Juris Borzovs, Ilze Irēna Ilziņa, Leksikografija ir leksikologija: [straipsnių rinkinys], Lietuvių kalbos institutas. Vilnius : Lietuviu Kalbos institutas, 2010. [D.] 2 : Jono Kruopo 100-sioms gimimo metinėms, p. 329–340, ISBN 9789955704423.
     
  10. Problems of Latvian ICT terms and English borrowings, Juris Borzovs, Ilze Irēna Ilziņa, Leksikologija ir terminologija: teorija, praktika, istorija: tarptautinės mokslinės konferencijos pranešimų tezės. Vilnius : Lietuvių Kalbos institutas, 2008, p. 11–12.
     
  11. Development of web-based terminology database for new EU member countries – problems and opportunities, Andrejs Vasiļjevs, Juris Borzovs, Raivis Skadins, Andris Liedskalnins, Databases and information systems: 7th International Baltic Conference on databases and information systems, Vilnius, July 3–6, 2006 : Communications, Materials of doctoral consortium / ed. O. Vasilecas ... [et al.] ; Vilnius Gediminas Technical University, Institute of Mathematics and Informatics. Vilnius: Technika, 2006, p. 228–238. , URL: http://www.researchgate.net/publication/235639825_Development_of_web-based_terminology_database_for_new_EU_member_countries__problems_and_opportunities, ISBN 9955280131.
     
  12. Terminology standards in the aspect of harmonization for international term database, Valentīna Skujiņa, Ilze Irena Ilziņa, Andrejs Vasiļjevs, Juris Borzovs, Bibliogr.: p. 30, Terminologija = Terminology = Терминология / Lietuvių kalbos institutas, Vilnius, Vol. 13, p. 17–32: il., tab.
     
  13. Terminology standards in the aspect of harmonization for international term database, Juris Borzovs, Ilze Irena Ilziņa, Valentīna Skujiņa, Andrejs Vasiļjevs, Tautinių kalbų terminologija ir globalizacija : tarptautinės mokslinės konferencijos pranešimų tezės = Terminology of national languages and globalization = Терминология национальных языков и глобализация. Vilnius: Lietuvių kalbos institutas, 2006, p. 11–13.
     
  14. Terminology standards in the aspect of harmonization for international term database, Juris Borzovs, Ilze Irena Ilziņa, Valentīna Skujiņa, Andrejs Vasiļjevs, Tautinių kalbų terminologija ir globalizacija : tarptautinės mokslinės konferencijos pranešimų tezės = Terminology of national languages and globalization = Терминология национальных языков и глобализация. Vilnius : Lietuvių kalbos institutas, 2006, p. 11–13.
     
  15. To use or not to use metaphors in Latvian ICT terminology, Juris Borzovs, Dana Reizniece, Jānis Sīlis, Ilze Irēna Ilziņa // Pabaltijo tautų terminologijos problemos ir Europos Sąjunga = Problems of Baltic States terminology and the European Union : [straipsnių rinkinys] / Lietuvių kalbos institutas. Vilnius : Lietuvių kalbos instituto leidykla, 2005. P.108-121. , URL: http://www.researchgate.net/publication/235639825_Development_of_web-based_terminology_database_for_new_EU_member_countries__problems_and_opportunities ISBN 9986668948.
     
  16. About the Challenges of Coining ICT Terms, Juris Borzovs, Ilze Ilziņa, References: p. 156–157, Terminologijos istorijos ir dabarties problemos: Kazimierui Gaiveniui atminti, Lietuvių kalbos instituta. Vilnius: Lietuvių kalbos instituto leidykla, 2004, p. 150–158.
     
  17. Development of the Latvian Terminology of Information Technologies / Ilze Vancāne, Juris Borzovs. (IS and Information Policy & The Impact of the Internet: State Policies and Legislation.). Izmantotie avoti: 102.lpp. // 3rd international conference "Information technologies and telecommunications in the Baltic states", Riga, April 28-30, 1999, Riga Congress Palace, p. 98–102.
     
  18. Datora izmantošanas prakse LZA Terminoloģijas komisijas Informātikas apakškomisijas darbā, Rudīte Čevere, Juris Borzovs, Marija Lučkina, Starpdisciplinārie pētījumi: Datorzinātnes, Vēres: p. 10, Latvijas Zinātņu Akadēmijas Vēstis (A daļa, Sociālās un humanitārās zinātnes), Vol. 51, No. 3/4 (1997), p. 7–10.

Laboratory for Perceptual and Cognitive Systems at Faculty of Computing focuses on interdisciplinary research in natural and artificial cognitive systems.

In particular, we are interested in:

a. perceptual and cognitive systems of different scale, format and content;
b. formal and axiomatic representation and modelling of different cognitive systems.

We work on visuo-spatial perception and cognition ranging from small-scale environments (in the scope of visual field) to large-scale navigable environments.

Furthermore, we are interested in languages (natural and formal) and the way they represent cognitive processes, structures, and meaning.

Finally, we are also interested in exploring cognitive systems both in single-agent situations and in situations of distributed and extended cognitive systems where not only additional individuals but also technological tools are involved as complementary parts of cognitive processing.

We use a wide range of empirical (experimental and correlative) and mathematical methods to explore perceptual and cognitive processes in both foundational and applied frameworks.

Researchers: Jurģis Šķilters, Līga Zariņa, Ivars Austers, Liene Viļuma, Linda Apse, Nora Bērziņa, Zeynab Babashova, Gurjit Theara.

Representative and recent publications

  1.  Žilinskaitė-Šinkūnienė, E., Šķilters, J., & Zariņa, L. (2019), Containment and support in Baltic languages: overview, experimental evidence, and an extended RCC as applied to Latvian and Lithuanian, Baltic J. Modern Computing, Vol. 7, No. 2, 224–254, https://doi.org/10.22364/bjmc.2019.7.2.04.
     
  2. Zariņa, L., Šķilters, J., Luguzis, A., Bāliņa, S., & Apse, L. (2019), Dependency of Color Ratings on Interface Types, In A. Lupeikiene et al. (Eds.), Databases and Information Systems X 2019 (pp. 125–140), Amsterdam: IOS Press, DOI 10.3233/978-1-61499-941-6-125
     
  3. Šķilters, J., & Viļuma, L. (2019), Cilvēkcentrēta datorika (šķirklis), Latvijas Nacionālā enciklopēdija, https://enciklopedija.lv/skirklis/5032
     
  4. Viļuma, L., & Šķilters, J. (2019), Cilvēka-datora saziņa (šķirklis), Latvijas Nacionālā enciklopēdija, https://enciklopedija.lv/skirklis/24469
     
  5. Viļuma, L., & Šķilters, J. (2018), Saziņas projektēšana (šķirklis), Latvijas Nacionālā enciklopēdija, https://enciklopedija.lv/skirklis/25081
     
  6. Viļuma, L., & Šķilters, J. (2018), Sadarbības un sociālā datorika (škirklis), Latvijas Nacionālā enciklopēdija, https://enciklopedija.lv/skirklis/25067
     
  7. Zariņa, L. (2018), Senākie iedzīvotāji Latvijas teritorijā: no kurienes esam nākuši?, reviewed by: Dr. geogr. Laimdota Kalniņa, Dr. hist. Artūrs Tomsons; literary reviewer Sandra Liniņa; preface authors: Valdis Segliņš, Jurģis Šķilters, Rīga: LU Akadēmiskais apgāds, 2018, p. 191: diagrams, illustrations, tables; bibliography: p. 175–176, ISBN 9789934183201.
     
  8. Zarina, L., Skilters, J,. & Balina, S. (2018), Impact of object shape on the interpretation of spatial relations, Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018), Spatial Cognition in a Multimedia and Intercultural World, Cogn Process (2018) 19 (Suppl 1): S54, https://doi.org/10.1007/s10339-018-0884-3
     
  9. Zarina, L., Skilters, J., Balina, S., & Borzovs, J. (2018), Differences in spatial skills among STEM and humanities and social sciences’ students: Evidence from SBSOD test, Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018), Spatial Cognition in a Multimedia and Intercultural World, Cogn Process (2018) 19 (Suppl 1): S69, https://doi.org/10.1007/s10339-018-0884-3
     
  10. Ozoliņa, Ž., Šķilters, J., & Struberga, S. (2018), Humour as a communication tool: The case of New Year’s Eve television in Russia. Defence Strategic Communication, Volume 4, pp. 105–132, Spring 2018. DOI 10.30966/2018.RIGA.4.4.
     
  11. Šķilters, J., Zariņa, L., Bāliņa, S., & Baumgarte, D. (2018), Impact of Demographic Differences on Color Preferences in the Interface Design of e-Services in Latvia, In A. Lupeikiene et al. (Eds.), DB&IS 2018, CCIS 838 (pp. 106–120). Cham: Springer, https://doi.org/10.1007/978-3-319-97571-9_10
     
  12. Škilters, J., Zariņa, L., Žilinskaitė-Šinkūnienė, E., & Skolmeistere, V. (2018)., Acceptability Rating of Ungrammatical Colloquial Latvian: How Native Speakers Judge Different Error Types, Baltic J. Modern Computing, Vol. 6 (2018), No. 2, 173–194, https://doi.org/10.22364/bjmc.2018.6.2.09
     
  13. Burlakovs, J., Vincēviča-Gaile, Z., Rudoviča, V., Pole, D., Krievāns, M., Zariņa, L. (2018), Long-term multidisciplinary research project of settlements and burials in Tuva republic – the ancient puzzle of Scythian wanderings in Eurasia, Linnaeus ECO-TECH 2018: 11th International Conference on Establishment of Cooperation between Companies and Institutions in the Nordic Countries, the Baltic Sea Region and the World, November 19–21, 2018, Kalmar, Sweden: Abstracts Kalmar: Linnaeus University, 2018, p. 53.
     
  14. Krumina, G., Skilters, J., Gulbe, A., & Lyakhovetskii, V. (2018), Effect of Handedness on Mental Rotation, In: P. Chapman, G. Stapleton, A. Moktefi, S. Perez-Kriz, & F. Bellucci (Eds.), Diagrammatic Representation and Inference, Diagrams 2018, Lecture Notes in Computer Science, vol 10871 (pp. 729–733). Cham: Springer. https://doi.org/10.1007/978-3-319-91376-6_69.,URL: https://link.springer.com/chapter/10.1007%2F978-3-319-91376-6_69, ISBN 9783319913759, ISSN 0302-9743.
     
  15. Nartišs, M., & Zariņa L. (2018), Reljefa modeļu caurumu aizpildīšanas metodes, Ģeogrāfija. Ģeoloģija. Vides zinātne : referātu tēzes : Latvijas Universitātes 76. zinātniskā konference Rīga : Latvijas Universitāte, 2018 212.–213. lpp. , URL: https://dspace.lu.lv/dspace/handle/7/45393 ISBN 9789934556364.
     
  16. Laicāne, I., Šķilters, J., Lyakhovetskii, V., Zimaša, E., & Krūmiņa, G. (2017). Perception of biological motion in central and peripheral visual fields. Proceedings of the Latvian Academy of Sciences. Section B, Vol. 71 (2017), No. 5 (710), pp. 320–326. DOI: 10.1515/prolas-2017-0056
     
  17. Laicane, I. Skilters,, J., Liakhovetckii, V., Kulite, A., & Krumina, G. (2017). Perceptual Grouping in Central and Peripheral Visual Field Perception. AVA Christmas Meeting; Queen Mary University of London, December 19, 2016 Vol. 46, N 10 (2017), Meeting Abstract: 28, p.1227. DOI: 10.1177/0301006617710756. , URL: http://journals.sagepub.com/doi/full/10.1177/0301006617710756 ISSN 0301-0066.
     
  18. Zariņa, L. (2017) Arheoloģisku objektu ar atšķirīgu robežzīmju skaitu morfometriska salīdzināšana. Latvijas Universitāte 75. zinātniskā konference. Lietišķi ģeoloģiskie pētījumi: tēžu krājums Rīga: Latvijas Universitāte, 2017, p. 44–45, ISBN 9789934556197.
     
  19. Zariņa, L., & Zariņa, L. (2017) Effect of crop rotation on soil nutrient balance and weediness in soddy podzolic organic farming fields. Geophysical Research Abstracts Vol. 19, EGU2017-13096-1 (2017), 1 p., URL: http://meetingorganizer.copernicus.org/EGU2017/EGU2017-13096-1.pdf ISSN 1103-5897.
     
  20. Zariņa, L., Šķilters, J., & Borzovs, J. (2017). Impact of Different Geometric and Functional Principles on Perception of Acceptability Areas: Differences in Computing and Humanities’ Students. 9th International Workshop on Data Analysis Methods for Software Systems, November 30-December 2, 2017, Druskininkai, Lithuania : Proceedings Vilnius, 2017 P.56. DOI : http :// dx.doi.or g/10.15388/DAMSS.2017. , URL: DOI: http://dx.doi.org/10.15388/DAMSS.2017 ISBN 9789986680642.
     
  21. Sechi, G., & Šķilters, J. (2017). Social determinants of identity in communities: A social capital- and social categorization-based approach – findings from Latvia. Social Science Information, http://journals.sagepub.com/doi/10.1177/0539018417741222
     
  22.  Žilinskaitė-Šinkūnienė, E., Šķilters, J., & Zariņa, L. (2019). Containment and support in Baltic languages: overview, experimental evidence, and an extended RCC as applied to Latvian and Lithuanian. Baltic J. Modern Computing, Vol. 7, No. 2, 224-254, https://doi.org/10.22364/bjmc.2019.7.2.04
     
  23. Zariņa, L., Šķilters, J., Luguzis, A., Bāliņa, S., & Apse, L. (2019). Dependency of Color Ratings on Interface Types. In A. Lupeikiene et al. (Eds.), Databases and Information Systems X 2019 (pp. 125 – 140). Amsterdam: IOS Press. DOI 10.3233/978-1-61499-941-6-125
     
  24. Šķilters, J., & Viļuma, L. (2019). Cilvēkcentrēta datorika (šķirklis). Latvijas Nacionālā enciklopēdija. https://enciklopedija.lv/skirklis/5032
     
  25. Viļuma, L., & Šķilters, J. (2019). Cilvēka-datora saziņa (šķirklis). Latvijas Nacionālā enciklopēdija. https://enciklopedija.lv/skirklis/24469
     
  26. Viļuma, L., & Šķilters, J. (2018). Saziņas projektēšana. (šķirklis). Latvijas Nacionālā enciklopēdija. https://enciklopedija.lv/skirklis/25081
     
  27. Viļuma, L., & Šķilters, J. (2018). Sadarbības un sociālā datorika (škirklis). Latvijas Nacionālā enciklopēdija. https://enciklopedija.lv/skirklis/25067
     
  28. Zariņa, L. (2018) Senākie iedzīvotāji Latvijas teritorijā: no kurienes esam nākuši? reviewed by: Dr. geogr. Laimdota Kalniņa, Dr. hist. Artūrs Tomsons; literary reviewer Sandra Liniņa, preface authors: Valdis Segliņš, Jurģis Šķilters. Rīga: LU Akadēmiskais apgāds, 2018, p. 191: diagrams, illustrations, tables; bibliography: p. 175–176, ISBN 9789934183201.
     
  29. Zarina, L., Skilters, J,. & Balina, S. (2018). Impact of object shape on the interpretation of spatial relations. Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018), Spatial Cognition in a Multimedia and Intercultural World, Cogn Process (2018) 19 (Suppl 1): S54, https://doi.org/10.1007/s10339-018-0884-3
     
  30. Zarina, L., Skilters, J., Balina, S., & Borzovs, J. (2018). Differences in spatial skills among STEM and humanities and social sciences’ students: Evidence from SBSOD test. Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018), Spatial Cognition in a Multimedia and Intercultural World, Cogn Process (2018) 19 (Suppl 1): S69, https://doi.org/10.1007/s10339-018-0884-3
     
  31. Ozoliņa, Ž., Šķilters, J., & Struberga, S. (2018). Humour as a communication tool: The case of New Year’s Eve television in Russia. Defence Strategic Communication, Volume 4, pp. 105-132, Spring 2018. DOI 10.30966/2018.RIGA.4.4.
     
  32. Šķilters, J., Zariņa, L., Bāliņa, S., & Baumgarte, D. (2018). Impact of Demographic Differences on Color Preferences in the Interface Design of e-Services in Latvia. In A. Lupeikiene et al. (Eds.), DB&IS 2018, CCIS 838 (pp. 106–120). Cham: Springer. 
 https://doi.org/10.1007/978-3-319-97571-9_10
     
  33. Škilters, J., Zariņa, L., Žilinskaitė-Šinkūnienė, E., & Skolmeistere, V. (2018). Acceptability Rating of Ungrammatical Colloquial Latvian: How Native Speakers Judge Different Error Types. Baltic J. Modern Computing, Vol. 6 (2018), No. 2, 173-194 https://doi.org/10.22364/bjmc.2018.6.2.09
     
  34. Burlakovs, J., Vincēviča-Gaile, Z., Rudoviča, V., Pole, D., Krievāns, M., Zariņa, L. (2018), Long-term multidisciplinary research project of settlements and burials in Tuva republic – the ancient puzzle of Scythian wanderings in Eurasia, Linnaeus ECO-TECH 2018: 11th International Conference on Establishment of Cooperation between Companies and Institutions in the Nordic Countries, the Baltic Sea Region and the World, November 19–21, 2018, Kalmar, Sweden: Abstracts Kalmar: Linnaeus University, 2018, p. 53.
     
  35. Krumina, G., Skilters, J., Gulbe, A., & Lyakhovetskii, V. (2018). Effect of Handedness on Mental Rotation, In: P. Chapman, G. Stapleton, A. Moktefi, S. Perez-Kriz, & F. Bellucci (Eds.), Diagrammatic Representation and Inference. Diagrams 2018. Lecture Notes in Computer Science, vol 10871 (pp. 729 – 733). Cham: Springer. https://doi.org/10.1007/978-3-319-91376-6_69.,URL: https://link.springer.com/chapter/10.1007%2F978-3-319-91376-6_69, ISBN 9783319913759, ISSN 0302-9743.
     
  36. Nartišs, M., & Zariņa L. (2018) Reljefa modeļu caurumu aizpildīšanas metodes. Ģeogrāfija. Ģeoloģija. Vides zinātne : referātu tēzes : Latvijas Universitātes 76. zinātniskā konference Rīga  Latvijas Universitāte, 2018, p. 212–213, URL: https://dspace.lu.lv/dspace/handle/7/45393, ISBN 9789934556364.
     
  37. Laicāne, I., Šķilters, J., Lyakhovetskii, V., Zimaša, E., & Krūmiņa, G. (2017). Perception of biological motion in central and peripheral visual fields. Proceedings of the Latvian Academy of Sciences. Section B, Vol. 71 (2017), No. 5 (710), pp. 320–326. DOI: 10.1515/prolas-2017-0056
     
  38. Laicane, I. Skilters,, J., Liakhovetckii, V., Kulite, A., & Krumina, G. (2017). Perceptual Grouping in Central and Peripheral Visual Field Perception. AVA Christmas Meeting; Queen Mary University of London, December 19, 2016 Vol. 46, N 10 (2017), Meeting Abstract: 28, p.1227. DOI: 10.1177/0301006617710756. , URL: http://journals.sagepub.com/doi/full/10.1177/0301006617710756 ISSN 0301-0066.
     
  39. Zariņa, L. (2017) Arheoloģisku objektu ar atšķirīgu robežzīmju skaitu morfometriska salīdzināšana. Latvijas Universitāte 75. zinātniskā konference. Lietišķi ģeoloģiskie pētījumi : tēžu krājums Rīga : Latvijas Universitāte, 2017 44.-45.lpp. ISBN 9789934556197.
     
  40. Zariņa, L., & Zariņa, L. (2017), Effect of crop rotation on soil nutrient balance and weediness in soddy podzolic organic farming fields. Geophysical Research Abstracts Vol. 19, EGU2017-13096-1 (2017), 1 p., URL: http://meetingorganizer.copernicus.org/EGU2017/EGU2017-13096-1.pdf ISSN 1103-5897.
     
  41. Zariņa, L., Šķilters, J., & Borzovs, J. (2017), Impact of Different Geometric and Functional Principles on Perception of Acceptability Areas: Differences in Computing and Humanities’ Students, 9th International Workshop on Data Analysis Methods for Software Systems, November 30–December 2, 2017, Druskininkai, Lithuania : Proceedings Vilnius, 2017 P.56. DOI: http :// dx.doi.or g/10.15388/DAMSS.2017, URL: DOI: http://dx.doi.org/10.15388/DAMSS.2017, ISBN 9789986680642.
     
  42. Sechi, G., & Šķilters, J. (2017), Social determinants of identity in communities: A social capital- and social categorization-based approach – findings from Latvia, Social Science Information, http://journals.sagepub.com/doi/10.1177/0539018417741222

The stable trend to lose from one third to half of students in the first study year of computing studies motivates us to explore, which methods can be used to determine in advance such applicants, who have no change to overcome the first study year.

Researchers: Juris Borzovs, Marina Juzova, Laila Niedrīte, Darja Solodovņikova, Uldis Straujums, Jānis Zuters

Representative and recent publications

  1. Can SQ and EQ values and their difference indicate programming aptitude to reduce dropout rate?, Juris Borzovs, Natalija Kozmina, Laila Niedrite, Darja Solodovnikova, Uldis Straujums, Janis Zuters, Atis Klavins // New Trends in Databases and Information Systems : Advances in Databases and Information Systems (ADBIS 2017), Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC; Nicosia, Cyprus, September 24–27, 2017 : Proceedings (Communications in Computer and Information Science), Vol. 767 (2017), p. 285–293. https://doi.org/10.1007/978-3-319-67162-8_28, URL: https://link.springer.com/chapter/10.1007%2F978-3-319-67162-8_28 ISBN 9783319671611, ISSN 1865-0929.
     
  2. Impact of Different Geometric and Functional Principles on Perception of Acceptability Areas: Differences in Computing and Humanities’ Students, Līga Zariņa, Jurģis Šķilters, Juris Borzovs. // 9th International Workshop on Data Analysis Methods for Software Systems, November 30–December 2, 2017, Druskininkai, Lithuania : Proceedings Vilnius, 2017 P. 56. DOI : http :// dx.doi.or g/10.15388/DAMSS.2017, URL: DOI: http://dx.doi.org/10.15388/DAMSS.2017, ISBN 9789986680642.
     
  3. Strategies to Reduce Attrition among First Year Computer Science Students, Juris Borzovs, Laila Niedrīte, Darja Solodovņikova // Handbook of Research on Engaging Digital Natives in Higher Education Settings Pennsylvania (USA) : IGI Global, 2016. Chapter 5, p.98-120. DOI: 10.4018/978-1-5225-0039-1. , URL: http://www.igi-global.com/book/handbook-research-engaging-digital-natives/141949, ISBN 9781522500407.
     
  4. Computer programming aptitude test as a tool for reducing student attrition, Juris Borzovs, Laila Niedrite, Darja Solodovņikova. Literatūra: p. 34–35 // Vide. Tehnoloģija. Resursi: 10. Starptautiskās zinātniski praktiskās konferences materiāli, 18.-20.jūnijs, Rēzekne, 2015 = Technology. Resource. Environment : Proceedings of the 10th International Scientific and Practical Conference, June 18-20, 2015 / Rēzeknes Augstskola. Inženieru fakultāte = Rezekne Higher education institution. Faculty of Engineering Rēzekne, 2015, Vol. 3., (2015), p. 29–35: tab., il. DOI: 10.17770/etr2015vol3.175 , URL: https://dspace.lu.lv/dspace/handle/7/6060, ISSN 1691-5402.
     
  5. Factors affecting attrition among first year computer science students: the case of University of Latvia, Juris Borzovs, Laila Niedrīte, Darja Solodovņikova. Literatūra: p. 42 // Vide. Tehnoloģija. Resursi : 10. Starptautiskās zinātniski praktiskās konferences materiāli, 18.-20.jūnijs, Rēzekne, 2015 = Technology. Resource. Environment : Proceedings of the 10th International Scientific and Practical Conference, June 18–20, 2015 / Rēzeknes Augstskola. Inženieru fakultāte = Rezekne Higher education institution. Faculty of Engineering, Vol. 3, p. 36–42 ; tab. DOI: 10.17770

Model-Based Model of Cognition (MBMC) includes three principles:

  1. A model is anything that is (or could be) used, for some purpose, in place of something else. In this definition, models are meant to be concrete systems that serve as replacements of concrete target systems.
  2. Models are the ultimate goal of all kinds of cognition (scientific and non-scientific). Humans and robots need models to manage what is happening in the world around them.
  3. All kinds of cognition should be assessed as useful as the production of models and means of model-building. Means of model-building can be further subdivided into theories, methods, heuristics, etc.

To show the productivity of MBMC, the principal aspects and principal events of the history of computer science and other branches of science will be reconstructed in terms of model-building.

Researchers: Kārlis Podnieks

Representative and recent publication

  1. The Dappled World Perspective Refined, Karlis Podnieks, The Reasoner, Vol. 8, N 1, January 2014, pp. 3–4
     
  2. Fourteen Arguments in Favour of a Formalist Philosophy of Real Mathematics, Karlis Podnieks, Baltic J. Modern Computing, Vol. 3 (2015), N 1, pp. 1–15
     
  3. Philosophy of Modeling: Neglected Pages of History, Karlis Podnieks, Baltic J. Modern Computing, Vol. 6 (2018), N 3, pp. 279–303

New possibilities are researched in large scale data set analysis and visualization for new type of hardware – high resolution displays wall, consisting of many (more than 20) standard displays. In this research client-server environment is developed. This environment supports agent based modelling and relational data exploration and migration to NoSQL database with browser, that works with display wall.

First stage of research was devoted to create a prototype of display wall. Main research problems were compatibility with popular operation systems and to keep cost of display wall as low as possible. Different solution architectures were analyzed and display wall prototype was developed partially according to raised requirements.

Second stage of the research is devoted to improvement of the prototype of display wall. Main research problem is to optimize amount of data transferred between computer and display wall. Different software and hardware compression methods are explored. One of possible usage of the display wall was explored – development of agent based modelling and simulating environment.

Researchers: Guntis Arnicāns, Ģirts Karnītis, Rūdolfs Bundulis

Computerized system analysis and operation correctness evaluation during runtime in operational environment is understood as runtime verification in this research. Correctness evaluation can be done by tools built into system or by system events external monitoring. This research focuses on the last one. Verification is done according to each processes’ verification description – model, where is defined events that confirm correctness of each process step, their execution sequence and execution time restrictions.

Prototype for runtime environment controlling system was developed in the first stage of the research. It fixes runtime environment events and via autonomous agents sent them to the controller. Controller monitors environment events and verifies them according to verification model.

In second stage of the research prototype developed in first stage was used for real life business process verification to measure additional workload to information system added by runtime verification process. Obtained measurements show that additional workload for information system is negligible. It shows practical usability of proposed business process runtime verification mechanism.

Researchers: Jānis Bičevskis, Ģirts Karnītis, Zane Bičevska, Ivo Odītis

The seminar focuses on different approaches to creating and selecting the content for Computing in schools. During the seminars the curriculum for Computing in schools is analyzed and developed. New methodological support is being created for the Latvian educational institutions.

Researchers: Viesturs Vēzis, Ojārs Krūmiņš et al.


Computing research directions at the University of Latvia can also be viewed here.