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RESEARCH ARTICLE   Open Access    

A context-sensitive framework for lexical ontologies

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  • Abstract: Human categorization is neither a binary nor a context-free process. Rather, the criteria that govern the use and recognition of certain concepts may be satisfied to different degrees in different contexts. In light of this reality, the idealized, static structure of a lexical-ontology like WordNet appears both excessively rigid and unduly fragile when faced with real texts that draw upon different contexts to communicate different world-views. In this paper we describe a syntagmatic, corpus-based approach to redefining the concepts of a lexical-ontology like WordNet in a functional, gradable and context-sensitive fashion. We describe how the most diagnostic properties of concepts, on which these functional definitions are based, can be automatically acquired from the Web, and demonstrate how these properties are more predictive of how concepts are actually used and perceived than properties derived from other sources (such as WordNet itself).
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  • Cite this article

    TONY VEALE, YANFEN HAO. 2008. A context-sensitive framework for lexical ontologies. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001270
    TONY VEALE, YANFEN HAO. 2008. A context-sensitive framework for lexical ontologies. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001270

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RESEARCH ARTICLE   Open Access    

A context-sensitive framework for lexical ontologies

The Knowledge Engineering Review  23 Article number: 10.1017/S0269888907001270  (2008)  |  Cite this article

Abstract: Abstract: Human categorization is neither a binary nor a context-free process. Rather, the criteria that govern the use and recognition of certain concepts may be satisfied to different degrees in different contexts. In light of this reality, the idealized, static structure of a lexical-ontology like WordNet appears both excessively rigid and unduly fragile when faced with real texts that draw upon different contexts to communicate different world-views. In this paper we describe a syntagmatic, corpus-based approach to redefining the concepts of a lexical-ontology like WordNet in a functional, gradable and context-sensitive fashion. We describe how the most diagnostic properties of concepts, on which these functional definitions are based, can be automatically acquired from the Web, and demonstrate how these properties are more predictive of how concepts are actually used and perceived than properties derived from other sources (such as WordNet itself).

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    TONY VEALE, YANFEN HAO. 2008. A context-sensitive framework for lexical ontologies. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001270
    TONY VEALE, YANFEN HAO. 2008. A context-sensitive framework for lexical ontologies. The Knowledge Engineering Review. 23: doi: 10.1017/S0269888907001270
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