@inproceedings{be69dc517189448190bf06dc089210ea,
title = "Data 2 documents: Modular and distributive content management in RDF",
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.",
keywords = "Content management, HTML5, Linked Data, RDF, Semantic Web, Vocabulary, Web documents",
author = "Niels Ockeloen and {de Boer}, Viktor and Tobias Kuhn and Guus Schreiber",
year = "2016",
doi = "10.1007/978-3-319-49004-5_29",
language = "English",
isbn = "9783319490038",
volume = "10024 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer - Verlag",
pages = "447--462",
booktitle = "Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings",
note = "20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 ; Conference date: 19-11-2016 Through 23-11-2016",
}