About https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228

Subject: https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#InformationObjecthttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Objecthttp://www.w3.org/2000/01/rdf-schema#Resourcehttp://purl.org/spar/fabio/ProceedingsPaperhttp://www.w3.org/2002/07/owl#Thinghttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingshttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialObjectProperty: http://www.w3.org/2000/01/rdf-schema#labelORE - A Tool for Repairing and Enriching Knowledge BasesProperty: http://www.w3.org/2002/07/owl#sameAshttp://data.semanticweb.org/conference/iswc/2010/paper/228Property: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#hasIndicatorhttps://w3id.org/scholarlydata/indicator/iswc2010-paper-228-citation-counthttps://w3id.org/scholarlydata/indicator/iswc2010-paper-228-plumx-captureshttps://w3id.org/scholarlydata/indicator/iswc2010-paper-228-plumx-readershttps://w3id.org/scholarlydata/indicator/iswc2010-paper-228-readers-mendeleyProperty: http://swrc.ontoware.org/ontology#abstractWhile 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.Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/lorenz-buhmannhttps://w3id.org/scholarlydata/person/jens-lehmannProperty: http://purl.org/dc/elements/1.1/subjectsemantic webProperty: http://purl.org/dc/elements/1.1/titleORE - A Tool for Repairing and Enriching Knowledge BasesProperty: http://purl.org/ontology/bibo/authorListhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228/authorListProperty: http://xmlns.com/foaf/0.1/makerhttps://w3id.org/scholarlydata/person/lorenz-buhmannhttps://w3id.org/scholarlydata/person/jens-lehmannProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractWhile 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.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#doi10.1007/978-3-642-17749-1_12Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228/authorListProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/iswc/2010/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordsemantic webProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleORE - A Tool for Repairing and Enriching Knowledge BasesProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPublishedInhttp://lod.springer.com/data/procvolume/978-3-642-17748-4
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Subject: https://w3id.org/scholarlydata/indicator/iswc2010-paper-228-plumx-capturesProperty: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#isIndicatorOfhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228
Subject: https://w3id.org/scholarlydata/indicator/iswc2010-paper-228-plumx-readersProperty: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#isIndicatorOfhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228
Subject: https://w3id.org/scholarlydata/indicator/iswc2010-paper-228-readers-mendeleyProperty: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#isIndicatorOfhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228
Subject: https://w3id.org/scholarlydata/person/jens-lehmannProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228
Subject: https://w3id.org/scholarlydata/person/lorenz-buhmannProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228
Subject: https://w3id.org/scholarlydata/conference/iswc/2010/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasParthttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/228