Cyber-physical systems, ontologies and biophotonics for safe&smart city and society

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Status: Completed
Coordinator: Dr.habil.sc.comp. Jānis Bārzdiņš

National Research Programme „Cyber-physical systems, ontologies and biophotonics for safe&smart city and society.” (SOPHIS).

Project No.2. „Ontology-based knowledge engineering technologies suitable for web environment”. Project leader Dr.habil.sc.comp. Janis BARZDINS

To develop the ontology-based modelling technologies and tools for knowledge analysis suitable for web environment. Ontology-based modelling technologies and tools that are suitable for web environment will be developed for creating ontologies that are descriptions of the accumulated knowledge presented in formal yet very understandable way for the end user – in a graphical and natural language manner. Formal knowledge descriptions in a form of ontologies would also serve as a basis for the end user for formulating clear queries and depicting their results. For understanding data collected in a natural language, methods of semantic web and computational linguistics will be used, such as FrameNet situation formalization together with CDC (Cross Document Co-reference) approach.

To explore and develop semantic web technologies for knowledge formalization, reuse and sharing. Transformation methods for knowledge structure models will be developed to carry out the alignment of models, as well as methods for the analysis of models’ syntax, semantics, and structure should be developed in order to determine the degree of overlapping and compatibility between models and, finally, methods are needed for the separation of specific models, that allow sharing, reusing and automating the development of study materials and grading.

Automated analysis of knowledge structure models will be improved by extending the functionality of the I4S tool, which allows to make the acquired knowledge fully usable for the determination of the functional state of complex heterogeneous systems, risks associated with it and for the prediction of consequences caused by potential faults

Novel methods and algorithms are developed for solving the following tasks: assessment of the importance of elements, representation of logical operators, and interpretation of inference rules for the analysis of the knowledge about complex heterogeneous systems structures.

To develop the technology of e-services and e-health data processing solutions to increase their security and availability. Ontology-based knowledge access rights modelling technology, which allows to use the semantic technologies in areas where the increased security level of data processing solutions is needed, e.g., data privacy in the e-health, will be developed.

Ontology-based linked data technologies will be explored and developed for applications of e-management and e-health.

Methodology and demonstration prototype of the framework will be developed for the integration of semantic web services in traditional websites for the usage in various problem domains such as e-logistics, that enables permanent control of structural quality and interoperability of systems; thus allowing avoiding unwanted side effects of changes by timely detecting their likelihood, as well as to ensure flow of knowledge adequate to changes

Methods for accessing data of large volume that are based on models and domain-specific ontologies will be developed using a novel data query and visualization methods suitable for web environment. Method for application of business process models in analysing program run-time events will be developed to increase the level of information system security.

On July 8, 3 pm Institute of Mathematics and Computer Science will host a seminar in auditorium 210 , titled: „Development of ontology-based knowledge engineering technologies suitable for web environment” as part of the “Cyber-physical systems, ontologies and biophotonics for safe&smart city and society” (SOPHIS), a program funded by the National Research Program.

1. Ontology-based modelling technologies and tools for knowledge analysis suitable for web environment (IMCS) – J.Bārzdiņš, A.Šostaks, E.Rencis, M.Grasmanis, A.Sproģis
2. Ontology-based methods for mining semantics of natural language. (IMCS) – G.Bārzdiņš, D.Goško, P.Paikens.
3. Semantic web technologies for knowledge formalization, reuse and sharing (FCSIT) – J.Grundspeņķis, V.Graudiņa, M.Kirikova, A.Novickis
4. Novel data query and visualization methods and related challenges for web environment. (FC) – J.Bičevskis, G.Arnicāns, Ģ.Karnītis

17.03.2016. 16:00 Public seminar of the project no.2 „Ontology-based knowledge engineering technologies suitable for web environment” of the National Research Programme „Cyber-physical systems, ontologies and biophotonics for safe&smart city and society.” (SOPHIS). Venue: in auditorium 210. Institute of Mathematics and Computer Science, University of Latvia (IMCS UL) Raina bulvaris 29. Members of each research group will present results obtained in stage 1&2 of the project.

1. “Ontology-based modelling technologies and tools for knowledge analysis suitable for web environment “ (IMCS UL)  – J.Bārzdiņš, A.Šostaks, E.Rencis, M.Grasmanis, A.Sproģis;
2. “Ontology-based methods for mining semantics of natural language” (IMCS UL) –  G.Bārzdiņš, D.Goško, P.Paikens;
3. “Semantic web technologies for knowledge formalization, reuse and sharing” (FCSIT RTU) – J.Grundspeņķis, P.Rudzājs, M.Kirikova, A.Novickis, E.Lavendelis;
4. “Model-based data visualization and  run-time verification of business processes” (FC UL) – J.Bičevskis, G.Arnicāns, Ģ.Karnītis;

02.12.2016. 14:15. Public seminar of the project no.2 „Ontology-based knowledge engineering technologies suitable for web environment” (SOPHIS). Venue: Auditorium 210 of the Institute of Mathematics and Computer Science  University of Latvia, Raina blv. 29, Riga.  Members of each research group will present results obtained in stage 3 of the project. Seminar program.

Programm

1. Seminar opening – Project leader Dr.habil.sc.comp. J.Bārzdiņš

2. Uz ontoloģijām balstītas tīmekļa videi pielāgotas modelēšanas metodes un rīki zināšanu izguvei  un analīzei (LU MII uzdevumi)  – J.Bārzdiņš, A.Kalniņš, A.Šostaks, E.Rencis, M.Grasmanis, A.Sproģis

3. Uz ontoloģijām un dziļās mašīnapmācības metodēm balstītas dabīgās valodas semantikas izgūšanas metodes (LU MII uzdevumi par dabīgās valodas analīzi) –  G.Bārzdiņš, D.Goško, P.Paikens

4. Semantiskā tīmekļa tehnoloģijas zināšanu formalizācijai, analīzei un  vairākkārtīgai izmantošanai  (RTU DITF uzdevumi) – J.Grundspeņķis, M.Kirikova, A.Novickis, E.Lavendelis

5. Modeļu bāzēta datu vizualizācija un biznesa procesu izpildes laika verifikācija (LU DF uzdevumi) – J.Bičevskis, G.Arnicāns, Ģ.Karnītis

6.07.2017. 14:00 Seminar of the project no.2 „Ontology-based knowledge engineering technologies suitable for web environment” of the National Research Programme „Cyber-physical systems, ontologies and biophotonics for safe&smart city and society.” (SOPHIS). Venue: in auditorium 210. Institute of Mathematics and Computer Science, University of Latvia (IMCS UL) Raina bulvaris 29. Members of each research group will present results obtained in stage 4 of the project. Seminar program.

24.11.2017. 14:30 Seminar of the project no.2 „Ontology-based knowledge engineering technologies suitable for web environment” of the National Research Programme „Cyber-physical systems, ontologies and biophotonics for safe&smart city and society.” (SOPHIS). Venue: in auditorium 210. Institute of Mathematics and Computer Science, University of Latvia (IMCS UL) Raina bulvaris 29. Members of each research group will present results obtained in the project.

Seminar presentations:

„Ontology-based machine learning methods for natural languages semantic processing” G.Bārzdiņš, D.Goško, P.Paikens.

„Linked Data Technologies in e-Government and e-Medicine” Uldis Bojārs.

“Model specialization methods and their usage for building web based DSL tools”. J.Bārzdiņš, A.Kalniņš, A.Sproģis.

“DF uzdevumi” Guntis Arnicāns.

Publications in SCOPUS and/or WoS:

  1. J. Barzdins, E. Rencis and A. Sostaks, Fast Ad Hoc Queries Based on Data Ontologies. In: H.M. Haav, A. Kalja, T. Robal (Eds.), Frontiers of AI and Applications, Vol. 270, Databases and Information Systems VIII, IOS Press, pp. 43-56, 2014. (SCOPUS) http://ebooks.iospress.nl/volumearticle/38187
  2. Kirikova, M. Enterprise Architecture and Knowledge Perspectives on Continuous Requirements Engineering. Proceedings of REFSQ-2015 Workshops, Research Method Track, and Poster Track co-located with the 21st International Conference on Requirements Engineering: Foundation for Software Quality. Essen, Germany, March 23, 2015. CEUR-WS.org, Vol. 1342, ISSN 1613-0073, pp. 44-51. (SCOPUS) Pieejams: http://ceur-ws.org/Vol-1342/05-CRE.pdf
  3. Bartusevičs, A., Novickis, L., Lesovskis, A. Model-Driven Software Configuration Management and Semantic Web in Applied Software Development. No: Recent Advances in Telecommunications, Informatics and Educational Technologies: Proceedings of the 13th International Conference on Telecommunications and Informatics (TELE-INFO ’14) , Turkey, Istambul, 15.-17. december, 2014. Istambul: WSEAS Press, 2014, 108.-116.lpp. ISBN 978-1-61804-262-0.
  4. Bartusevičs, A., Lesovskis, A., Novickis, L. Semantic Web Technologies and Model-Driven Approach for the Development and Configuration Management of Intelligent Web-Based Systems. No: Proceedings of the 2015 International Conference on Circuits, Systems, Signal Processing, Communications and Computers, Austria, Vienna, 15.-17. March, 2015. Vienna: 2015, 32.-39.lpp. ISBN 978-1-61804-285-9. ISSN 1790-5117.
  5. Rudolfs Bundulis, and Guntis Arnicans, Concept of virtual machine based high resolution display wall. Information, Electronic and Electrical Engineering (AIEEE), 2014 IEEE 2nd Workshop on Advances in. pp. 1-6, IEEE, 2014. DOI: 10.1109/AIEEE.2014.7020317, http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7020317

Publications

  1. Barzdins G., Paikens P., Gosko D.. Riga: from FrameNet to Semantic Frames with C6.0 Rules. SemEval 2015 Task 18: Semantic Dependency Parsing. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Association for Computational Linguistics, pp. 960–964. (http://www.aclweb.org/anthology/S15-2160)
  2. Sandis Spolitis, Lilita Gegere, Anita Alsevska, Ilja Trifonovs, Jurgis Porins, and Vjaceslavs Bobrovs „Optical WDM-PON Access System with Shared Light Source” Progress In Electromagnetics Research Symposium, PIERS 2015 in Prague, Czech Republic, 06-09 July, 2015. pp.1–5.
  3. Rudolfs Bundulis, and Guntis Arnicans. “Virtual Machine Based High Resolution Display Wall: Experiments on Proof of Concept” International Conference on Systems, Computing Sciences and Software Engineering (SCSS 14) , Electronic CISSE 2014 Conference Proceedings, 2014. (to be published Innovations and Advances in Computer, Information, Systems Sciences, and Engineering. LNEE, Springer)

Conferences thesis and presentations:

  1. Bartusevičs, A., Lesovskis, A., Novickis, L. Semantic Web Technologies and Model-Driven Approach for the Development and Configuration Management of Intelligent Web-Based Systems. No: Proceedings of the 2015 International Conference on Circuits, Systems, Signal Processing, Communications and Computers, Austria, Vienna, 15.-17. March, 2015. Vienna: 2015.
  2. Bartusevičs, A., Novickis, L., Lesovskis, A. Model-Driven Software Configuration Management and Semantic Web in Applied Software Development. No: Recent Advances in Telecommunications, Informatics and Educational Technologies: Proceedings of the 13th International Conference on Telecommunications and Informatics (TELE-INFO ’14) , Turkey, Istambul, 15.-17. december, 2014.

Poster sessions.

  1. Rudolfs Bundulis, Guntis Arnicans, and Rihards Gailums. “NVENC Based H.264 Encoding for Virtual Machine Based Monitor Wall Architecture”, GPU Technology Conference, San Jose, Mart 17-20, 2015. Posters:http://ondemand.gputechconf.com/gtc/2015/posters/GTC_2015_Visualization_Large_Scale___Multi_Display_01_P5174_WEB.pdf

IFS User Manual v.1.0. Available on request from RTU Department of Artificial intelligence.

List of publications [2nd period]:

1. J.Barzdins, E.Rencis, A.Sostaks.  Self-service Ad-hoc Querying Using Controlled Natural Language. Submitted to the 12th International Baltic Conference on Databases and Information Systems, Riga, Latvia, 4-6 July 2016;

2. G.Barzdins, S. Renals, D. Gosko. (2016). Character-level Neural Translation for NextGen Media Monitoring in the SUMMA Project. Accepted by LREC-2016, 23-28 May 2016, Portorož (Slovenia). (to appear in Web of Science);

3. A.Spektors, I. Auzina, R. Dargis, N. Gruzitis, P. Paikens, L. Pretkalnina, B. Saulite. (2016). Tezaurs.lv: the Largest Open Lexical Database for Latvian, Accepted by LREC-2016, 23-28 May 2016, Portorož (Slovenia). (to appear in Web of Science);

4. Grundspenkis J. Initial Steps towards the Development of Formal Method for Evaluation of Concept Map Complexity from the Systems Viewpoint. Submitted to the 12th International Baltic Conference on Databases and Information Systems, Riga, Latvia, 4-6 July 2016;

5. Lavendelis E. A Conceptual Approach for Knowledge Structure Update and Learning in Multi-Agent Systems. In Proceedings of 16th International Conference on Applied Computer Science (ACS ’16), Istanbul, Turkey, April 15-17, 2016;

6. Petrovica S., Pudane M. Simulation of Affective Student-Tutor Interaction for Affective Tutoring Systems: Design of Knowledge Structure. Submitted to 7th International Conference on Education and Educational Technologies (EET ’16), Istanbul, Turkey, April 15-17, 2016;

7. IFS User Manual v.1.0.;

8. Depiction of structural models of control system for winch handling system (CSWHS);

9. Kirikova, M., Penicina, L., Gaidukovs, A. Ontology based Linkage between Enterprise Architecture, Processes, and Time. ADBIS 2015 short Papers and Workshops BigDap, DCSA, GID, MEBIS, OAIS, SW4CH, WISARD Proceedings. Poitiers – France, September 8-11, 2015. New Trends in Databases and Information Systems. CCIS, Vol. 539. Springer, pp.382-391. In database: (SCOPUS). DOI: http://dx.doi.org/10.1007/978-3-319-23201-0_39

10. Anita Finke. Requirements Inheritance in Continuous Requirements Engineering. Joint Proceedings of REFSQ-2016 Workshops, Doctoral Symposium, Research Method Track, and Poster Track co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2016), March 14-17, 2016, Gothenburg, Sweden. CEUR-WS.org, Vol. 1564. (to appear in SCOPUS);

11. Marite Kirikova. Continuous Requirements Engineering in FREEDOM Framework: a Position Paper. Joint Proceedings of REFSQ-2016 Workshops, Doctoral Symposium, Research Method Track, and Poster Track co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2016), March 14-17, 2016, Gothenburg, Sweden. CEUR-WS.org, Vol. 1564. (to appear in SCOPUS);

12. Dmitrijs Kozlovs, Kristine Cjaputa and Marite Kirikova. Towards Continuous Information Security Audit. Joint Proceedings of REFSQ-2016 Workshops, Doctoral Symposium, Research Method Track, and Poster Track co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2016), March 14-17, 2016, Gothenburg, Sweden. CEUR-WS.org, Vol. 1564. (to appear in SCOPUS);

13. Marite Kirikova, Raimundas Matulevičius, and Kurt Sandkuhl. The Enterprise Model Frame for Supporting Security Requirement Elicitation from Business Processes, submitted to the 12th Baltic Conference on Databases and Information Systems to be held 4-6 July 2016, Riga, Latvia;

14. Bartusevics, A., Lesovskis, A., Novickis, L. Semantic Web Technologies and Model-Driven Approach for the Development and Configuration Management of Intelligent Web-Based Systems. No: Proceedings of the 2015 International Conference on Circuits, Systems, Signal Processing, Communications and Computers, Austrija, Vienna, 15.–17. marts, 2015. Vienna: 2015, 32.–39.lpp. ISBN 978-1-61804-285-9. ISSN 1790-5117 (Springer, Web of Knowledge);

15. Novickis L., Vinichenko S., Sotnichoks M., Lesovskis A., Graph Models and GeoData Based  Web Portal in Cargo Transportation. In : Scientific Journal of Riga Technical University. Applied Computer Systems, 2015/17, RTU Press, Riga, 2015, pp. 34-39. ISSN 2255-8683 (EBSCO, VINITI);.

16. Novickis L., Mitasiunas A., Ponomarenko V. Towards Knowledge and Information Technology Transfer Concept and Its Validation. In: Procedia Computer Science, ICTE in Regional Development , 2015 , Valmiera, Elsevier, Volume 77, 2015, Pages 48–55 (SCOPUS);

17. Bartusevics, A., Novickis, L. Model–Based Approach for Implementation of Software Configuration Management Process. In: MODELSWARD 2015. Proceedings of the 3rd International Conference on Model-Driven Engineering and Software Development, France, Angers, 9-11 February, 2015, pp.177-184. ISBN 978-989-758-083-3 (SCOPUS);

18. Rudolfs Bundulis,  Guntis Arnicans. Use of H. 264 real-time video encoding to reduce display wall system bandwidth consumption. In Information, Electronic and Electrical Engineering (AIEEE), 2015 IEEE 3rd Workshop on Advances in, pp. 1-6. IEEE, 2015.;

19. Ingars Ribners, Guntis Arnicans. Concept of Client-Server Environment for Agent-Based Modeling and Simulation of Living Systems. In Computational Intelligence, Communication Systems and Networks (CICSyN), 2015 7th International Conference on, pp. 83-88. IEEE, 2015. DOI: 10.1109/CICSyN.2015.25 (to appear in SCOPUS);

List of publications [3. period]

SCOPUS: SNIP>1

  1. Lavendelis E. A „Cloud Based Knowledge Structure Update and Machine Learning Framework for Heterogeneous Multi-Agent Systems”. In: International Journal of Artificial Intelligence Vol 14 (2), October, 2016 CESER Publishing, pp. 157-170.

SCOPUS

  1. Peteris Paikens. „Deep Neural Learning Approaches for Latvian Morphological Tagging. Frontiers in Artificial Intelligence and Applications”, Volume 289: Human Language Technologies – The Baltic Perspective, I. Skadiņa and R. Rozis (Eds.). IOS Press, 2016, pp 160-166. DOI 10.3233/978-1-61499-701-6-160 URL http://ebooks.iospress.nl/volumearticle/45531 (SCOPUS);
  2. N. Gruzitis and G. Barzdins. „The role of CNL and AMR in scalable abstractive summarization for multilingual media monitoring. Controlled Natural Language”, Controlled Natural Language 5th International Workshop, CNL 2016, Davis, Brian, Pace, Gordon J., Wyner, Adam (Eds.), LNAI, Volume 9767, pp. 127-130, Springer 2016.  doi = “10.1007/978-3-319-41498-0” (SCOPUS);
  3. A.Kalnins, J.Barzdins, „Metamodel Specialization for DSL Tool Building”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), 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, Springer, pp.68-82, 2016. (SCOPUS);
  4. A.Sprogis, „DSML Tool Building Platform in WEB”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), 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, Springer, pp.99-109, 2016. (to be indexed SCOPUS);
  5. A.Kalnins, J.Barzdins, „Metamodel specialization for graphical modeling language support”. // In: Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. ACM, pp.103-112, 2016. (to be indexed SCOPUS);
  6. J.Barzdins, M.Grasmanis, E.Rencis, A.Sostaks, J.Barzdins, „Ad-Hoc Querying of Semistar Data Ontologies Using Controlled Natural Language”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), Frontiers of AI and Applications, Vol. 291, Databases and Information Systems IX, IOS Press, pp. 3-16, 2016. (to be indexed SCOPUS), http://ebooks.iospress.com/volumearticle/45695
  7. A.Kalnins, J.Barzdins, „Metamodel Specialization for Diagram Editor Building”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), Frontiers of AI and Applications, Vol. 291, Databases and Information Systems IX, IOS Press, pp. 87-100, 2016. (to be indexed SCOPUS), http://ebooks.iospress.com/volumearticle/45702
  8. A.Sprogis, „ajoo: WEB Based Framework for Domain Specific Modeling Tools”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), Frontiers of AI and Applications, Vol. 291, Databases and Information Systems IX, IOS Press, pp. 115-126, 2016. (SCOPUS), http://ebooks.iospress.com/volumearticle/45704
  9. Bicevska, Z., Bicevskis, J., Karnitis, G. „Models of event driven systems”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), 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, Springer, pp. 83-98, 2016. (SCOPUS;
  10. Bicevskis, J., Bicevska, Z., Oditis, I. „Self-management of information systems”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), 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, Springer, pp. 167-180, 2016. (SCOPUS);
  11. R.Bundulis and G.Arnicans. „Conclusions from the evaluation of virtual machine based high resolution display wall system”.  // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), 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, Springer, pp. 211–225, 2016. (SCOPUS);
  12. Rudolfs Bundulis, Guntis Arnicans. „Infiniviz – Virtual Machine Based High-Resolution Display Wall System”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), Frontiers of AI and Applications, Vol. 291, Databases and Information Systems IX, IOS Press, pp. 225-238, 2016. (to be indexed SCOPUS);
  13. Janis Bicevskis, Zane Bicevska, Girts Karnitis. „Executable Models of Event Driven Systems”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), Frontiers of AI and Applications, Vol. 291, Databases and Information Systems IX, IOS Press, pp. 101-114, 2016. (to be indexed SCOPUS);
  14. Janis Bicevskis, Zane Bicevska, Ivo Oditis. „Implementation of Self-Management”. // In: G.Arnicans, V.Arnicane, J.Borzovs, L.Niedrite (Eds.), Frontiers of AI and Applications, Vol. 291, Databases and Information Systems IX, IOS Press, pp. 169-182, 2016. (to be indexed SCOPUS);
  15. Grundspenkis J. (2016). „Towards the Formal Method for Evaluation of Concept Map Complexity from the Systems Viewpoint. Databases and Information Systems IX”, G. Arnicans et al. (Eds.), Frontiers in Artificial Intelligence and Applications, Vol. 291. IOS Press, pp. 341-354. (to be indexed SCOPUS);
  16. Jurenoks A., Novickis L. Adaptive Method for Assessing the Life Expectancy of a Wireless Sensor Network in Smart Environments Applications. In: Proceedings of 14th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED SYSTEMS PDES 2016, Brno University of Technology: 2016, pp.93-98.(IEEExplore);
  17. Jurenoks A., Novickis L. Simulation-Based Experimental Research of Wireless Sensor Network Life Expectancy Reconfiguration Method in Transport Logistics Area. In: 2nd International Conference on Systems Informatics, Modelling and Simulation, Riga: 2016, pp.135-140. ISBN 978-1-5090-2693-7. (IEEExplore);
  18. Kirikova, M., Matulevičius, R., Sandkuhl, K.Application of the Enterprise Model Frame for Security Requirements and Control Identification. Databases and Information Systems IX, G. Arnicans et al. (Eds.). IOS Press. 12th International Baltic Conference, DB&IS 2016, Riga, Latvia, July 4-6, 2016, pp.129-142. (to be indexed SCOPUS).

Publications:

  1.  Guntis Barzdins, Didzis Gosko. RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), Association for Computational Linguistics, pp. 1143-1147. URL https://aclweb.org/anthology/S/S16/S16-1176.pdf. (to be indexed ACL);
  2. J.Barzdins, M.Grasmanis, E.Rencis, A.Sostaks, A.Steinsbekk, Towards a More Effective Hospital: Helping Health Professionals to Learn from their Own Practice by Developing an Easy to use Clinical Processes Querying Language. // J.E.Q. Varajão et. al. (Eds.), Procedia Computer Science, Vol. 100, Elsevier, pp. 498-506, 2016;
  3. Grundspenkis J. (2016). Historical Retrospection on Success and Failures during the Development of Concept Map Based System IKAS. Proceedings of the 7th International Conference on Concept Mapping, Tallinn, Estonia, September 5-9, 2016, Vol. 2, pp. 113-119.
  4. Novickis L., Mitasiunas A., Ponomarenko V. Information Technology Transfer Model as a Bridge between Science and Business Sector.In:Procedia Computer Science 2016, ICTE 2016, December, 8 p. (submitted)
  5. Bartusevics A.,  Novickis L., Lesovskis A. An approach for development of reusable function library for automation of continuous processes. In:Procedia Computer Science 2016, ICTE 2016, December, 8 p. (submitted)
  6. Businska L., Kirikova M., The Goal-Based Selection of the Business Process Modeling Language. 9th IFIP WG 8.1. Working Conference, PoEM 2016, Skövde, Sweden, November 8-10, 2016. Vol. 267 of the series Lecture Notes in Business Information Processing, pp 307-316. In database: SpringerLink. DOI: https:/doi.org/10.1007/978-3-319-48393-1_22
  7. Kirikova, M. Towards Framing the Continuous Information Systems Engineering. Joint Proceedings of the BIR 2016 Workshops and Doctoral Consortium, co-located with 15th International Conference on Perspectives in Business Informatics Research (BIR 2016), September 14–16, 2016. Prague, Czech Republic. B. Johansson and  F. Vencovský (Eds.). Managed Complexity. CEUR-WS.org,  Vol. 1684.
  8. Lavendelis E. A Conceptual Approach for Knowledge Structure Update and Learning in Multi-Agent Systems. In: International Journal of Computers. Vol. 1, pp. 141-147. IARAS Publishing, 2016.
  9. Bartusevics A. Automation of Continuous Services: What Companies of Latvia says about it? In:Procedia Computer Science 2016, ICTE 2016, December, 8 p (submitted);
  10. 10.  Petrovica, S., Pudane, M. Emotion Modeling for Simulation of Affective Student-Tutor Interaction: Personality Matching. International Journal of Education and Information Technologies, 2016, Vol.10, pp. 159.-167;
  11. Peņicina L. Controlling Business Object States in Business Process Models to Support Compliance. PoEM 2016, Doctoral Consortium, Skövde, Sweden, November 8-10, 2016. (in press  Ceur-ws.org)

List of publications [4. period]

SCOPUS: SNIP>1

SCOPUS and/or WoS:

  1. Petrovica, S. “Multi-level adaptation of an educational game to individual student’s gameplay, knowledge and emotions”. Proceedings of the 9th annual International Conference on Education and New Learning Technologies. Barcelona (Spain), 3rd – 5th of July, 2017. (būs ISI Web of Science). https://ortus.rtu.lv/science/lv/publications/25663/attachments/3026[4.period]
  2. Pudāne, M. “Affective Multi-Agent System for Simulating Mechanisms of Social Effects of Emotions”. Proceedings of the ACII 2017. [4.period] (iesniegts)
  3. Novickis, L., Ponomarenko, V., Mitasiunas, A. “Information Technology Transfer Model as a Bridge between Science and Business Sector”. Procedia Computer Science, 2017, Vol.104, pp.120-126. ISSN 1877-0509. Available from: https://doi.org/10.1016/j.procs.2017.01.083 (Scopus) [4.period]
  4. Bartusevičs, A. Novickis, L., Lesovskis, A. “An Approach for Development of Reusable Function Library for Automation of Continuous Processes”,  Procedia Computer Science, 2017, Vol.104, pp.112-119. ISSN 1877-0509. Available from: https://doi.org/10.1016/j.procs.2017.01.082 (Scopus)[4.period]
  5. Bartusevičs, A. Automation of Continuous Services: What Companies of Latvia Says about it?. Procedia Computer Science, 2017, Vol.104, pp.81-88. ISSN 1877-0509. Available from:https://doi.org/10.1016/j.procs.2017.01.075 (Scopus)[4.period]
  6. Ponomarenko, V., Novickis, L. A Review of Information Technology Transfer Process, Its Topicality, and Related Models. In: Rezekne Academy of Technologies. Rezekne: Rezekne Academy of Technologies, Volume II, 2017, 128.-132.lpp. ISSN 1691-5402. Available from: http://dx.doi.org/10.17770//etr2017vol2.2544 (Scopus)[4.period]

Publications

  1. Bartusevičs, A., Lesovskis, A., Ponomarenko, V. Model-Driven Approach and Library of Reusable Source Code for Automation of IT Operations. Applied Computer Systems. Vol.21, 2017, pp.5-12. ISSN 2255-8691. Available from:      https://www.degruyter.com/downloadpdf/j/acss.2017.21.issue-1/acss-2017-0001/acss-2017-0001.pdf (DOAJ (Directory of Open Access Journals, EBSCO (relevant databases))[4.period]
  2. Ponomarenko V., Novickis L. Sustainable development and improvement of the Semantic Web Portal. In:on-line open access International Jornal of Computers, Volume 2, 2017, pp. 74–79, ISSN: 2367-8895, Available from:  http://www.iaras.org/iaras/filedownloads/ijc/2017/006-0012(2017).pdf (ISI Thomson Reuters ReseacherID, Google Scholar)[4.period]
  3. Normunds Grūzītis, Didzis Goško, Guntis Bārzdiņš. „RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation”, Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017),  pages 924–928, Vancouver, Canada, August 3 – 4, 2017  http://nlp.arizona.edu/SemEval-2017/pdf/SemEval159.pdf [4.period]
  4. P.Paikens, G.Barzdins, A.Mendes, D.Ferreira, S.Broscheit, M.Almeida, S.Miranda, D.Nogueira, P.Balage, A.Martins. SUMMA at TAC Knowledge Base Population Task 2016, Proceedings of TAC-KBP 2016, 2017 https://tac.nist.gov/protected/2016/TAC2016-workshop-notebook/participant.papers/TAC2016.summa.notebook.pdf (submitted) [4.period]

Conferences thesis and presentations:

  1. Petrovica, S. “Multi-level adaptation of an educational game to individual student’s gameplay, knowledge and emotions”.  9th annual International Conference on Education and New Learning Technologies. Barcelona (Spain), 3rd – 5th of July, 2017. https://iated.org/edulearn/ [4.period]
  2.  A.Grocevs.”The capabilities of automated functional testing of programming assignments”. 2nd International Conference on Higher Education Advances, HEAd´16, 21-23 June 2016,València, Spain[4.period]
  3. A.Jurenoks  . “Adaptive Method for Assessing the Life Expectancy of a Wireless Sensor Network in Smart Environments Applications”. 14th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED SYSTEMS PDES 2016, Czech Republic, Lednice, 5-7 October,  https://www.aconf.org/conf_84146.html [4.period]
  4. A.Jurenoks. “Simulation-Based Experimental Research of Wireless Sensor Network Life Expectancy Reconfiguration Method in Transport Logistics Area”. 2nd International Conference on Systems Informatics, Modelling and Simulation, Latvia, Riga, 1-3 June, 2016. http://sims2016.info [4.period]
  5. V. Ponomarenko. “Information Technology Transfer Model as a Bridge between Science and Business Sector”. Riga Technical University 57th International Scientific Conference, Computer Science, Applied Computer Systems, 14-18 October 2016, Riga. [4.period]
  6. A. Bartusevics. “Automation of Continuous Services: What Companies of Latvia says about it?” Riga Technical University 57th International Scientific Conference, Computer Science, Applied Computer Systems, 14-18 October 2016, Riga. [4.period]
  7. A. Jurenoks. “Sensor Network Data Flow Control Method with Priority Tag within Internet of Things In Smart House”.   Riga Technical University 57th International Scientific Conference, Computer Science, Applied Computer Systems, 14-18 October 2016, Riga. [4.period]
  8. A.Grocevs. “The capabilities of automated functional testing of programming assignments”. Riga Technical University 57th International Scientific Conference, Computer Science, Applied Computer Systems, 14-18 October 2016, Riga. [4.period]
  9. A.Jurenoks. “Transfer and Validation of Adaptive Method for Assessing the Life Expectancy of a Wireless Sensor Network in Smart Environments Applications.” Presentation at the 2016 International Conference on Communications and Computers ICCC’16, 5-7 November, 2016,Rome. [4.period]
  10. V. Ponomarenko .” Information Technology Transfer Model as a Bridge between Science and Business Sector”. Presentation on seminar in conjuction with Spreading Excellence and Crossing the Innovation Divide Conference, 23-24 November, 2016, Brussel[4.period]
  11. V. Ponomarenko.”Sustainable development and improvement of the Semantic Web Portal”. Presentation at the 16th International Conference on TELECOMMUNICATIONS and INFORMATICS (TELE-INFO ’17), May 10-12, 2017, Barcelona, Spain,  http://wseas.org/cms.action?id=14689 [4.period]

Popular publications, events, information in mass media:

  1. Petroviča, S., Pudāne, M., Anohina-Naumeca, A., Lavendelis E.  «Kāpēc datorsistēmām nepieciešams emocionālais intelekts?» Populārzinātnisks raksts RTU pētniecības platformu žurnālā latviešu un angļu valodās, 2017 [4.period] (Iesniegts).
  2. G.Bārzdiņa interview in newspaper “Diena” annex “SestDiena” 11.06.2017 https://www.diena.lv/raksts/sestdiena/intervijas/neuzskata-vairs-par-kertu-14174110 [4.period];
  3. G.Bārzdiņš consultant for an art film «Tas, ko viņi neredz» http://www.tvnet.lv/izklaide/kino/622295-noskaties_tokalova_filmas_tas_ko_vini_neredz_reklamas_rulliti [4.period];

Involment in education:

PhD thesis:

  1. Armands Šlihte. “THE INTEGRATED DOMAIN MODELING: AN APPROACH & TOOLSET FOR ACQUIRING A TOPOLOGICAL FUNCTIONING”. (Defended RTU Promotion Council P-07 8.06.2015);
  2. Pēteris Rudzājs. Development of Education Demand and Offer Information Monitoring System’s Model. Defended RTU Promotion Council P-07, September 2015, Scientific supervisor – prof. M. Kirikova. [2nd period];
  3. Artūrs Bartusevičs. The Development and Implementation of Model-Driven Software Configuration Management Solutions. Defended RTU Promotion Council P-07, September 2015, Scientific supervisor – prof.  L.Novickis [2nd period];
  4. Raita Rollande “The Research and Implementation of Personalized Study Planning as a Component of Pedagogical Module”. Defended RTU Promotion Council P-07, may 2015, Scientific supervisor Dr. habil. sc. ing., profesor J. Grundspeņķis. [2nd period];
  5. Ivo Odītis, „Business process run-time verification”. (Defended LU Promotion  Council 02.09.2016.)[3.period];
  6. Aleksejs Jurenoks, „Development and Estimation of Wireless Sensor Network Life Expectancy Assessing Model and Methods”. (Defended RTU Promotion  Council P-07,  06.06.2016)[3.period].
  7. Uldis Locāns «Nākotnes procesoru arhitektūru pielietojums precīzu daļiņu paātrinātāju modelēšanā» / «Future Processor Hardware Architectures for the Benefit of Precise Particle Accelerator Modeling»; Scientific supervisor Dr.sc.comp. G.Bārzdiņš. –23.03.2017, VZKK submitted [4.period];

Defended Master thesis:

  1. Svetlana Otto. Daudzaģentu sistēmu un ontoloģiju projektēšanas metožu integrēšanas metodoloģiju analīze (Supervisor prof. J.Grundspeņķis. Defended RTU DITF 15.06.2015);
  2. Emil Bikjanov. Zināšanu bāzu un deduktīvo datu bāzu salīdzināšanas analīze (Supervisor prof. J.Grundspeņķis. Defended RTU DITF 15.06.2015);
  3. Andrejs Gaidukovs. Laika dimensija biznesa procesu un uzņēmumu arhitektūras modelēšanā (Supervisor prof. M.Kirikova. Defended RTU DITF 16.06.2015);
  4. Edgars Kirkiļevičs. Sadarbojošos procesu testēšana (Supervisor prof. J.Bičevskis. Defended LU DF 02.06.2015);
  5. Dace Damberga. Uzraudzītas mašīnmācīšanās klasifikatoru izpēte un empīriska salīdzināšana (Supervisor prof. Guntis Bārzdiņš. Defended LU DF 05.06.2015);
  6. Zane Siliņa. Latviešu valodas sintaktiskā analizatora ‘Čankeris’ modernizācija (Supervisor prof. Guntis Bārzdiņš. Defended LU DF 01.06.2015);
  7. Andrejs Gaidukovs. Time Dimension in Business Process and Enterprise Architecture Modelling. Master Thesis defended June 2015. Scientific supervisor – prof. M. Kirikova;
  8. Artūrs Znotiņš, Jēdzientelpas uun to pielietojumi. // Word embeddings and their applications. (2. vieta Latvijas augstskolu datorikas bakalaura un maģistra darbu konkursā “ZIBIT 2016”) (Zinātniskais vadītājs prof. Guntis Bārzdiņš. Aizstāvēts LU DF 06.2016)
  9. Roberts Darģis, Liela apjoma datu kopu klasterēšanas algoritmi. // Clustering algorithms for large scale data sets. (Zinātniskais vadītājs prof. Guntis Bārzdiņš. Aizstāvēts LU DF 06.2016)
  10. Reinholds Pīrāgs, Automātiska teksta konspektēšana izmantojot jēdzientelpu. // Automatization of Text Summarization. (Zinātniskais vadītājs prof. Guntis Bārzdiņš. Aizstāvēts LU DF 06.2016)
  11. Aleksandrs Riļins, Efektīva tīmekļa lietotņu izstrāde augstas izšķirtspējas monitoru sienām. // Web application effective development for high-resolution monitor walls. (Zinātniskais vadītājs prof. Guntis Arnicāns. Aizstāvēts LU DF 06.2016)
  12. Normunds Pureklis, Liela apjoma datu vizualizācija uz augstas izšķirtspējas displeju sienas. // Big data visualization on the high-resolution display wall. (Zinātniskais vadītājs prof. Ģirts Karnītis. Aizstāvēts LU DF 06.2016)
  13. Elīna Kauķe, Testēšanas modeļa izveide testējamās sistēmas uzlabošanai. // Testing model development to improve the system under the test. (Zinātniskais vadītājs prof. Jānis Bičevskis. Aizstāvēts LU DF 06.2016)
  14. Jānis Peisenieks, Rīgas pilsētas dzīvojamības novērtēšana, izmantojot atvērtus datu avotus. // Livability evaluation of Riga city using open data. (Zinātniskais vadītājs prof. Ģirts Karnītis. Aizstāvēts LU DF 06.2016)
  15. Vladislavs Maksimčuks, Labvēlīgas laikapstākļu prognozes noteikšana lidošanai ar paraplānu. // Analysis and display of weather forecasts in iOS application. (Zinātniskais vadītājs prof. Ģirts Karnītis. Aizstāvēts LU DF 06.2016)
  16. Parshu Ram Dhungyel. Dzongkha valodas vārdu segmentēšanas metožu analīze. // Analysing the Methods of Segmentation of Dzongkha Words. (Zinātniskais vadītājs prof. J. Grundspeņķis. Aizstāvēts RTU DITF 06.2016)
  17. Royal Imanli. Spieta intelekta analīze robotizētām sistēmām un to vadība lietojot nestriktu loģiku.// Analysis of swarm intelligence for robotic systems and their control using fuzzy logic (Zinātniskais vadītājs prof. J. Grundspeņķis. Aizstāvēts RTU DITF 06.2016)
  18. Yan Kuchin. Urbumu ģeofizikālo datu interpretācija ar neironu tīkliem. // Interpretation of Drill Hole Geophysical Data with Neural Networks (Zinātniskais vadītājs prof. J. Grundspeņķis. Aizstāvēts RTU DITF 06.2016)
  19. Nail Karimov. Uz daudzaģentu pieeju balstītas siltumnīcas vadības un monitoringa sistēmas projektēšana un izstrāde.// Design and Development of Control and Monitoring System for Greenhouses Based-On Multi Agent Approach (Zinātniskais vadītājs prof. J. Grundspeņķis. Aizstāvēts RTU DITF 06.2016)
  20. Arjan Chakma. Datu informācijas un zināšanu plūsmas organizāciju informācijas sistēmās. // Data Information and Knowledge Flows in Organizations Information Systems (Zinātniskā vadītāja prof. M. Kirikova. Aizstāvēts RTU DITF 06.2016)
  21. Sangay Dorji. Datu, informācijas un zināšanu modelēšana darbsistēmu tīklos. // Data, Information and Knowledge modeling in work system networks (Zinātniskā vadītāja prof. M. Kirikova. Aizstāvēts RTU DITF 06.2016)
  22. Rakesh Parthasarathy. Informācijas loģistikas atsauces modeļa izstrāde. // Development of Information Logistics Reference Model (Zinātniskā vadītāja prof. M. Kirikova. Aizstāvēts RTU DITF 06.2016)
  23. Elmārs Sirovatskis. Vispārīga ostas informācijas sistēmas modeļa izstrāde. // Development of Generic Ports Information Systems Model  (Zinātniskā vadītāja prof. M. Kirikova. Aizstāvēts RTU DITF 06.2016)
  24. Nauris Dorbe «Bezpilota mašīnu apmācība, izmantojot stimulētās mācīšanās mākslīgos dziļos neironu tīklus kooperatīvās braukšanas sistēmā» / «Driverless cars tuition using reinforcement learning artificial deep neural networks within cooperate driving system»; Zinātniskie vadītāji  Dr.sc.comp. G.Bārzdiņš un I.Ribners, aizstāvēts 31.05.2017.g. [4.period];

Long-term technological prognosis

Project No.2. „Ontology-based knowledge engineering technologies suitable for web environment”