KBSS

We design and build knowledge-based information systems

We are a group of researchers and developers interested in the analysis, design, and development of knowledge-based information systems.

Team members

Miroslav Blaško

Miro Blaško

Miroslav Blaško získal Ph.D. v roce 2016 v oboru Umělá inteligence a biokybernetika po obhajobě disertační práce “Template-based Ontology Evolution”. Mezi jeho odborné zájmy také patří ochrana soukromí, návrh myšlenkových map a ontologií, sémantický web, Linked Data, meta-modelování a automatické uvažování v deskripčních logikách. Má za sebou účast na evropském projektu Netcarity, v současnosti se podílí na projektu Ministerstva kultury MONDIS.

Martin Ledvinka

Martin Ledvinka

Martin received his Ph.D. in the study programme Artificial intelligence and Biocybernetics at FEE CTU in Prague in 2021 by defending his dissertation thesis with the topic of “Leveraging Semantic Web Technologies in Domain-specific Information Systems.” His professional interests include application access to ontologies, design of information systems based on semantic technologies in general and software system testing automation. Besides his research duties, he was or has been involved in teaching of the following subjects: A7B39WPA (Web and enterprise applications) and B6B36EAR (Enterprise architectures) at FEE CTU in Prague and BI-ATS (Software testing automation) at FIT CTU in Prague.

Michal Med

Michal Med

Michal graduated in Geomatics at the Faculty of Civil Engineering in 2014 and received his Ph.D. in the Geodesy, cartography and geoinformatics at the same faculty in 2020. Topic of his thesis is “Implementation of the INSPIRE Directive in the context of Spatial Data Infrastructure development in the Czech Republic”. In 2015 Michal started to participate at the KBSS project “Open Data and semantic approaches to uncover social aspects of urban quality”. Later he became part of the team with focus mainly on the spatial aspects of linked open data, spatial ontologies. His interests lies in opening data of public administration. In the last years he got involved in teaching subject Ontologies and Semantic Web at the FEE.

Topics of the final theses to be led by Michal are listed here.

Jana Ahmad

Jana Ahmad

Jana Ahmad v roce 2014 dokončila magisterské studium v oblasti IT a od letního semestru 2015 je studentkou prezenční formy doktorského studia oboru Umělá inteligence a biokybernetika. Oblastmi jejího odborného zájmu jsou konceptuální ontologické modelování pro rozvoj udržitelných IS, metody a metodiky tvorby ontologií, formální reprezentace sady konceptů v rámci domény a vztahy mezi koncepty, metodiky konceptuálního ontologického modelování s ohledem na efektivní perzistenci výsledných ontologií pomocí navrženého sémantického úložiště.

Bogdan Kostov

Bogdan Kostov

Bogdan Kostov je aktuálně interní doktorand na Katedře kybernetiky. Tématem jeho disertační práce je rozšíření, optimalizace a aplikace expresivních sémantických dotazovacích jazyků. Jeho další odborné zájmy jsou Linked Data, návrh ontologie a vizualizace sémantických dotazovacích jazyků. V minulosti se zúčastnil projektu SoSIReČR. V současnosti se podílí na projektu Ministerstva vnitra ProtoSpy.

Petr Křemen

Petr Křemen

The former leader of the team received Ph.D. in 2012 in the study programme Artificial intelligence and Biocybernetics at FEE CTU by defending thesis “Building Ontology-Based Information Systems”. His professional interests are ontology design, ontology information systems, semantic web, linked data and description logics querying. He is author or co-author of many impacted papers and over forty conference papers. He participated in more then eleven national and international research projects. From 2022 he reduced his work in the team just to teaching and supervising final theses.

Publications

Here you can find interesting and most important publications of the team members.

2020

2019

  • KUFNER, J. and R. MAŘÍK. Restful State Machines and SQL Database. IEEE Access. 2019, 7 144603-144617. ISSN 2169-3536. DOI 10.1109/ACCESS.2019.2944807. Available from: https://ieeexplore.ieee.org/document/8853255
  • LEDVINKA, M. and P. KŘEMEN. Formalizing Object-Ontological Mapping Using F-logic. In: Rules and Reasoning. Third International Joint Conference, RuleML+RR 2019, Bolzano, 2019-09-16/2019-09-19. Cham: Springer, 2019. p. 97-112. Lecture Notes in Computer Science. vol. 11784. ISSN 0302-9743. ISBN 978-3-030-31094-3. DOI 10.1007/978-3-030-31095-0_7.
  • KŘEMEN, P. and M. NEČASKÝ. Improving discoverability of Open Government Data with rich metadata descriptions using Semantic Government Vocabulary. Journal of Web Semantics. 2019, 55 1-20. ISSN 1570-8268. DOI 10.1016/j.websem.2018.12.009.
  • LEDVINKA, M., A. LALIŠ, and P. KŘEMEN. Toward Data-Driven Safety: An Ontology-Based Information System. Journal of Aerospace Information Systems. 2019, 16(1), 22-36. ISSN 1940-3151. DOI 10.2514/1.I010622.

2018

  • LEDVINKA, M., M. BLAŠKO, and P. KŘEMEN. Factors of Efficient Semantic Web Application Development. In: On the Move to Meaningful Internet Systems. OTM 2018 Conferences. The 17th International Conference on Ontologies, DataBases, and Applications of Semantics, Valletta, 2018-10-23/2018-10-24. Basel: Springer, 2018. p. 565-572. vol. 2. ISSN 0302-9743. ISBN 978-3-030-02670-7. DOI 10.1007/978-3-030-02671-4_35. Available from: https://link.springer.com/book/10.1007%2F978-3-030-02671-4
  • KŘEMEN, P., et al. Dataset Dashboard – a SPARQL Endpoint Explorer. In: 4th International Workshop on Visualization and Interaction for Ontologies and Linked Data, VOILA 2018. 4th International Workshop on Visualization and Interaction for Ontologies and Linked Data, Monterey, CA, 2018-10-08. Aachen: CEUR Workshop Proceedings, 2018. p. 70-77. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2187/paper7.pdf
  • LALIŠ, A., et al. Generating synthetic aviation safety data to resample or establish new datasets. Safety Science. 2018, 106(106), 154-161. ISSN 0925-7535. DOI 10.1016/j.ssci.2018.03.013.

2017

  • MED, M. and P. KŘEMEN. Context-Based Ontology for Urban Data Integration. In: Proceedings of iiWAS 2017. The 19 th International Conference on Information Integration and Web-based Applications & Services, Salzburg, 2017-12-04/2017-12-06. New York: Association for Computing Machinery, 2017. p. 457-461. ISBN 978-1-4503-5299-4. DOI 10.1145/3151759.3151838.
  • LEDVINKA, M., et al. SISel: Aviation Safety Powered by Semantic Technologies. In: Data a znalosti 2017. Plzeň, 2017-10-05/2017-10-06. Plzeň: Západočeská univerzita v Plzni, 2017. p. 77-82. ISBN 978-80-261-0720-0. Available from: https://daz2017.kiv.zcu.cz/data/DaZ2017-Sbornik-final.pdf
  • SAEEDA, L. and P. KŘEMEN. Temporal Knowledge Extraction for Dataset Discovery. In: PROFILES 2017 Dataset Profiling and Federated Search for Web Data. 4th International Workshop on Dataset PROFIling and fEderated Search for Web Data, Vienna, 2017-10-21/2017-10-25. CEUR-WS.org, 2017. vol. Vol-1927. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-1927/
  • SAEEDA, L. Iterative Approach for Information Extraction and Ontology Learning from Textual Aviation Safety Reports. In: The Semantic Web. 14th Extended Semantic Web Conference, Portorož, 2017-05-28/2017-06-01. Springer, Cham, 2017. p. 236-245. vol. 2. ISSN 0302-9743. ISBN 978-3-319-58450-8. DOI 10.1007/978-3-319-58451-5_18.
  • KŘEMEN, P., et al. Ontological Foundations of European Coordination Centre for Accident and Incident Reporting Systems. Journal of Aerospace Information Systems. 2017, 14(5), 279-292. ISSN 1940-3151. DOI 10.2514/1.I010441.