Data 2 documents: Modular and distributive content management in RDF

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in different ontology engineering scenarios such as development and selection. This paper contributes to the ontology validation activity by proposing a web-based tool, called OOPS!, independent of any ontology development environment, for detecting anomalies in ontologies. This tool will help developers to improve ontology quality by automatically detecting potential errors.
LanguageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings
PublisherSpringer - Verlag
Pages447-462
Number of pages16
Volume10024 LNAI
ISBN (Print)9783319490038
DOIs
Publication statusPublished - 2016
Event20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 - Bologna, Italy
Duration: 19 Nov 201623 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10024 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016
CountryItaly
CityBologna
Period19/11/1623/11/16

Fingerprint

Ontology
Anomaly
Ontology Engineering
Web-based
Correctness
Imply
Scenarios
Modeling

Keywords

  • Content management
  • HTML5
  • Linked Data
  • RDF
  • Semantic Web
  • Vocabulary
  • Web documents

Cite this

Ockeloen, N., de Boer, V., Kuhn, T., & Schreiber, G. (2016). Data 2 documents: Modular and distributive content management in RDF. In Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings (Vol. 10024 LNAI, pp. 447-462). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10024 LNAI). Springer - Verlag. https://doi.org/10.1007/978-3-319-49004-5_29
Ockeloen, Niels ; de Boer, Viktor ; Kuhn, Tobias ; Schreiber, Guus. / Data 2 documents : Modular and distributive content management in RDF. Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. Vol. 10024 LNAI Springer - Verlag, 2016. pp. 447-462 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Ockeloen, N, de Boer, V, Kuhn, T & Schreiber, G 2016, Data 2 documents: Modular and distributive content management in RDF. in Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. vol. 10024 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10024 LNAI, Springer - Verlag, pp. 447-462, 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, Bologna, Italy, 19/11/16. https://doi.org/10.1007/978-3-319-49004-5_29

Data 2 documents : Modular and distributive content management in RDF. / Ockeloen, Niels; de Boer, Viktor; Kuhn, Tobias; Schreiber, Guus.

Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. Vol. 10024 LNAI Springer - Verlag, 2016. p. 447-462 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10024 LNAI).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Ockeloen N, de Boer V, Kuhn T, Schreiber G. Data 2 documents: Modular and distributive content management in RDF. In Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. Vol. 10024 LNAI. Springer - Verlag. 2016. p. 447-462. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-49004-5_29