Research group: Semantic Web and Ontological Engineering (SWOE)

The SWOE acronym can also be read – according to several web sources, referring to hybridization of (Wilkinson) “Sword” and “hoe” – as „long-handled weeder“ or „very lightweight, many angled weeding tool“. In our context, we can refer to the metaphor of weeding in view of long-term fruit in the semantic web garden. Consequently, also SWOE’s color among the KIZI groups is green.

Go to: Research focus; Team and Collaborations; Publications; Education


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Research focus

The Semantic Web and Ontological Engineering (SWOE) group at KIZI (one of its four research groups, over-arched by the virtual Knowledge Engineering Group) undertakes research in knowledge and data representation and management, in particularly in connection with the semantic web. The focal areas of the group currently are:


The seed of the group had been gradually formed since approx. 2000, the initial topics having been the computerization of clinical guidelines (e.g., in the EU FP4 MGT project, where the Stepper tool for text-centric guideline formalization was developed) and modest contributions to the initial phase of the semantic web research (via non-funded partnership in EU FP5 projects such as OntoWeb and Knowledge Web).  In EU FP6, the team had been involved, among other, in the design of the Core Ontology of Multimedia (COMM), in the frame of the K-Space Network of Excellence (2006-2008). The group also hosted the EKAW 2006 conference (with V. Svátek as Co-Chair).


As summary, the current core vision of the group is:


Group leaders: Vojtěch Svátek, Ondřej (Šváb-)Zamazal

Other group members:

Important group alumni (ex-PhD, MSc or project collaborators): Václav Belák, Martin Kavalec, Martin Labský, Marek Nekvasil, Jan Nemrava, Josef Petrák, Štěpán Pilař, Michal Pomykacz, Simone Serra, Šárka Turečková, Jan Zemánek.


Within the University, the SWOE group mainly cooperates with

Within the Czech Republic, there is lasting cooperation with the XRG group at Charles University. In particular, XRG members have been directly involved in research activities of EU projects:

At the international level, the group collaborates with numerous foreign partners, either in connection with EU projects (in particularly, the recently ended EU FP7 IP LOD2 and currently running or on informal basis, yielding a decent number of joint publications. Examples of such joint research are:

Selected recent publications

Only a selection of prestigious ones; many others can be found on the homepage of V. Svátek (only the older ones at the moment…) or in the UEP publications database: for V. Svátek, O. Zamazal, or analogously for other members

Svátek V., Zamazal O., Vacura M.: Categorization Power of Ontologies with Respect to Focus Classes. In: EKAW 2016, Springer LNCS. Best paper award nomination.

Svátek V., Dudáš M., Zamazal O.: Adapting ontologies to best-practice artifacts using transformation patterns: Method, implementation and use cases. J. Web Semantics, Elsevier, Volume 40, October 2016, 52-64.

Vacura M., Svátek V., Gangemi A.: An ontological investigation over human relations in linked data. Applied Ontology 11(3): 227-254 (2016).

Svátek V., Zamazal O., Dudáš M.: Using ODPs for Ontology Transformation. In: Hitzler et al. (eds.): Ontology Engineering with Ontology Design Patterns. IOS Press, 2016.

Kliegr T., Zamazal O.: LHD 2.0: A text mining approach to typing entities in knowledge graphs. J. Web Semantics, Volume 39, August 2016, 47-61.

Mynarz J., Zeman V.: DB-quiz: a DBpedia-backed knowledge game. In: SEMANTiCS 2016, ACM, 121-124.

Hanzal T., Svátek V., Vacura M.: Event Categories on the Semantic Web and Their Relationship/Object Distinction. In: FOIS 2016: 183-196.

Svátek V., Kompuš P., Dudáš M., Nečaský M., Klímek J.: Procurement notice enrichment using product ontologies. In: SEMANTiCS 2015, ACM, 200-203. Honorary mention.

Zamazal O.: Online ontology shortest paths searcher. In: SEMANTiCS 2015, ACM, 204-206. Honorary mention.

Dudáš M., Svátek V., Mynarz J.: Dataset Summary Visualization with LODSight. In: ESWC 2015 (Demo Session), Springer LNCS 9341, 2015, 36-40.

Dudáš M., Zamazal O., Svátek V.: Roadmapping and Navigating in the Ontology Visualization Landscape. In: EKAW 2014, Linköping, Springer, LNCS 8876, 2014, 137-152.

Scharffe F., Zamazal O., Fensel D.: Ontology alignment design patterns. Knowledge and Information Systems. Springer, 40(1): 1-28 (2014).

Kliegr T., Zamazal O: Towards Linked Hypernyms Dataset 2.0: complementing DBpedia with hypernym discovery. In: LREC 2014: 3517-3523.

Dudáš M., Zamazal O., Mynarz J., Svátek V.: Exploiting Freebase to Obtain GoodRelations-Based Product Ontologies. In: EC-Web 2014, Munich, Springer LNBIP 188, 2014, 34-45.

Mynarz J.: Validator and Preview for the JobPosting Data Model of In: EC-Web 2014, Munich, Springer LNBIP 188, 2014, 58-63 .

Nečaský M., Klímek J., Mynarz J., Knap T., Svátek V., Stárka J.: Linked data support for filing public contracts. J. Computers in Industry, Elsevier, Volume 65, Issue 5, June 2014, 862–877.

Dudáš M., Svátek V., Török L., Zamazal O., Rodriguez-Castro B., Hepp M.: Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies. In: EC-Web 2013, Prague, Springer LNBIP 152, 2013, 51-58 .

Nekvasil M., Svátek V.: Towards savvy adoption of semantic technology: From published use cases to category-specific adopter readiness models. J. Web Semantics, Elsevier, Volume 21, August 2013, 61-74.

Svátek V., Homola M., Kluka J., Vacura M.: Mapping structural design patterns in OWL to ontological background models. In: K-CAP 2013, ACM, 117-120.

Šváb-Zamazal O., Schlicht A., Stuckenschmidt H., Svátek V.: Constructs Replacing and Complexity Downgrading via a Generic OWL Ontology Transformation Framework. In: SOFSEM 2013, Springer LNCS 7741, 2013, 528-539.

Šváb-Zamazal O., Dudáš M., Svátek V.: User-Friendly Pattern-Based Transformation of OWL Ontologies. In: EKAW 2012, Springer, LNCS 7603, 2012, 426-429. Best demo award.

Meilicke C., García-Castro R., Freitas F., van Hage W. R., Montiel-Ponsoda E., Ribeiro de Azevedo R., Stuckenschmidt H., Šváb-Zamazal O., Svátek V., Tamilin A., Trojahn C., Wang S.: MultiFarm: A benchmark for multilingual ontology matching. J. Web Semantics, Elsevier, Volume 15, September 2012, Pages 62-68.


Activities of the group are reflected in several courses taught at the University, most notably the MSc level courses:

A certain primer to relevant knowledge representation methods is also provided in the Bc level course:

Older news:

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