Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228> ?p ?o. }
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- 228 creator jens-lehmann.
- 228 creator lorenz-buhmann.
- 228 type InProceedings.
- 228 label "ORE - A Tool for Repairing and Enriching Knowledge Bases".
- 228 sameAs 228.
- 228 abstract "While the number and size of Semantic Web knowledge bases increases, their maintenance and quality assurance are still difficult. In this article, we present ORE, a tool for repairing and enriching OWL ontologies. State-of-the-art methods in ontology debugging and supervised machine learning form the basis of ORE and are adapted or extended so as to work well in practice. ORE supports the detection of a variety of ontology modelling problems and guides the user through the process of resolving them. Furthermore, the tool allows to extend an ontology through (semi-)automatic supervised learning. A wizard-like process helps the user to resolve potential issues after axioms are added.".
- 228 hasAuthorList authorList.
- 228 isPartOf proceedings.
- 228 keyword "semantic web".
- 228 title "ORE - A Tool for Repairing and Enriching Knowledge Bases".