Matches in ScholarlyData for { ?s ?p ?o. }
- 10 hasAuthorList authorList.
- 10 isPartOf proceedings.
- 10 keyword "Collaborative".
- 10 keyword "Evolving".
- 10 keyword "Ontology".
- 10 keyword "Version Control".
- 10 title "Protege 4 Difference Engine".
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- authorList hasFirstItem item-1.
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- item-1 type ListItem.
- item-1 hasContent timothy-redmond.
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- item-2 hasContent natalya-noy.
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- 11 creator bijan-parsia.
- 11 creator rafael-s.-goncalves.
- 11 creator ulrike-sattler.
- 11 type InProceedings.
- 11 label "Facilitating the Analysis of Ontology Differences".
- 11 sameAs 11.
- 11 abstract "The analysis of changes between OWL ontologies (in the form of a diff) is an important service for ontology engineering. A purely syntactic analysis of changes is insufficient to distinguish between changes that have logical impact and those that do not. The current state of the art in semantic diffing ignores logically ineffectual changes and lacks any further characterisation of even significant changes. We present and demonstrate a diff method based on an exhaustive categorisation of effectual and ineffectual changes between ontologies. In order to verify the applicability of our approach we apply it to 88 versions of the National Cancer Institute (NCI) Thesaurus (NCIt), and 5 versions of SNOMED CT, demonstrating that all categories are realized throughout the corpus. Based on the outcome of these studies we argue that the devised categorisation of changes is helpful for ontology engineers and their understanding of changes carried out between ontologies.".
- 11 hasAuthorList authorList.
- 11 isPartOf proceedings.
- 11 keyword "Diff".
- 11 keyword "NCI Thesaurus".
- 11 keyword "OWL".
- 11 keyword "Ontologies".
- 11 keyword "Ontology Evolution".
- 11 keyword "SNOMED CT".
- 11 title "Facilitating the Analysis of Ontology Differences".
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- item-1 hasContent rafael-s.-goncalves.
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- item-2 hasContent bijan-parsia.
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- item-3 hasContent ulrike-sattler.
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- 12 creator ewan-klein.
- 12 creator paolo-pareti.
- 12 type InProceedings.
- 12 label "Learning Vague Concepts for the Semantic Web".
- 12 sameAs 12.
- 12 abstract "Ontologies can be a powerful tool for structuring knowledge, and they are currently the subject of extensive research. Updating the contents of an ontology or improving its interoperability with other ontologies is an important but difficult process. In this paper, we focus on the presence of vague concepts, which are pervasive in natural language, within the framework of formal ontologies. We will adopt a framework in which vagueness is captured via numerical restrictions that can be automatically adjusted. Since updating vague concepts, either through ontology alignment or ontology evolution, can lead to inconsistent sets of axioms, we define and implement a method to detecting and repairing such inconsistencies in a local fashion.".
- 12 hasAuthorList authorList.
- 12 isPartOf proceedings.
- 12 keyword "OWL".
- 12 keyword "Ontology Alignment".
- 12 keyword "Ontology Change".
- 12 keyword "Ontology Evolution".
- 12 keyword "Ontology Repair".
- 12 keyword "Vagueness".
- 12 title "Learning Vague Concepts for the Semantic Web".
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- item-1 hasContent paolo-pareti.
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- item-2 hasContent ewan-klein.
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- 3 creator nina-tahmasebi.
- 3 creator stefan-dietze.
- 3 creator thomas-risse.
- 3 type InProceedings.
- 3 label "Towards automatic language evolution tracking, A study on word sense tracking".
- 3 sameAs 3.
- 3 abstract "Knowing about language evolution can significantly help to reveal lost information and help access documents containing language that has long since been forgotten. In this position paper we will report on our methods for finding word senses and show how these can be used to reveal important information about their evolution over time. We discuss the weaknesses of current approaches and outline future work to overcome these weaknesses. ".
- 3 hasAuthorList authorList.
- 3 isPartOf proceedings.
- 3 keyword "clustering".
- 3 keyword "language evolution".
- 3 keyword "word sense discrimination".
- 3 title "Towards automatic language evolution tracking, A study on word sense tracking".
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- item-1 hasContent nina-tahmasebi.
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- item-2 hasContent thomas-risse.