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A Vague Sense Classifier for Detecting Vague Definitions in Ontologies
- Source :
- EACL
- Publication Year :
- 2014
- Publisher :
- Association for Computational Linguistics, 2014.
-
Abstract
- Vagueness is a common human knowledge and linguistic phenomenon, typically manifested by predicates that lack clear applicability conditions and boundaries such as High, Expert or Bad. In the context of ontologies and semantic data, the usage of such predicates within ontology element definitions (classes, relations etc.) can hamper the latter’s quality, primarily in terms of shareability and meaning explicitness. With that in mind, we present in this paper a vague word sense classifier that may help both ontology creators and consumers to automatically detect vague ontology definitions and, thus, assess their quality better.
- Subjects :
- business.industry
Computer science
media_common.quotation_subject
Context (language use)
Vagueness
Ontology (information science)
computer.software_genre
Semantic data model
Quality (business)
Artificial intelligence
Element (category theory)
business
computer
Classifier (UML)
Natural language processing
media_common
Meaning (linguistics)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers
- Accession number :
- edsair.doi...........8f33b1a51887ce5c7dc720fdb66cc798