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Automatically acquiring a semantic network of related concepts
Abstract We describe the automatic construction of We describe the automatic construction of a semantic network1, in which over 3000 of the most frequently occurring monosemous nouns2 in Wikipedia (each appearing between 1,500 and 100,000 times) are linked to their semantically related concepts in the WordNet noun ontology. Relatedness between nouns is discovered automatically from cooccurrence in Wikipedia texts using an information theoretic inspired measure. Our algorithm then capitalizes on salient sense clustering among related nouns to automatically dis-ambiguate them to their appropriate senses (i.e., concepts). Through the act of disambiguation, we begin to accumulate relatedness data for concepts denoted by polysemous nouns, as well. The resultant concept-to-concept associations, covering 17,543 nouns, and 27,312 distinct senses among them, constitute a large-scale semantic network of related concepts that can be conceived of as augmenting the WordNet noun ontology with related-to links.rdNet noun ontology with related-to links.
Abstractsub We describe the automatic construction of We describe the automatic construction of a semantic network1, in which over 3000 of the most frequently occurring monosemous nouns2 in Wikipedia (each appearing between 1,500 and 100,000 times) are linked to their semantically related concepts in the WordNet noun ontology. Relatedness between nouns is discovered automatically from cooccurrence in Wikipedia texts using an information theoretic inspired measure. Our algorithm then capitalizes on salient sense clustering among related nouns to automatically dis-ambiguate them to their appropriate senses (i.e., concepts). Through the act of disambiguation, we begin to accumulate relatedness data for concepts denoted by polysemous nouns, as well. The resultant concept-to-concept associations, covering 17,543 nouns, and 27,312 distinct senses among them, constitute a large-scale semantic network of related concepts that can be conceived of as augmenting the WordNet noun ontology with related-to links.rdNet noun ontology with related-to links.
Bibtextype inproceedings  +
Doi 10.1145/1871437.1871445  +
Has author Szumlanski S. + , Gomez F. +
Has extra keyword Automatic construction + , Co-occurrence + , Commonsense knowledge + , Lexical semantics + , Semantic network + , Semantic networks + , Semantic relatedness + , Wikipedia + , Wordnet + , Information theory + , Knowledge acquisition + , Knowledge management + , Ontology + , Semantic web + , Semantics +
Has keyword Common sense knowledge + , Knowledge acquisition + , Lexical semantics + , Semantic networks + , Semantic relatedness +
Isbn 9781450300995  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 19–28  +
Published in International Conference on Information and Knowledge Management, Proceedings +
Title Automatically acquiring a semantic network of related concepts +
Type conference paper  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 7 November 2014 05:59:30  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 05:59:30  +
DateThis property is a special property in this wiki. 2010  +
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