Semantic Enterprise Course:
Comparing Ontominer with Verity K2 enterprise
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Similarity Measure Verity uses:
Kullback-Leibner distance and mutual information
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Concept labeling: based on WordNet, the description of noun-phrases
(signatures) is expanded by including synonyms, hypernyms and
hyponyms
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Each cluster is named by labels derived from its dominant concepts
in a bottom-up fashion (labels can be modified by users)
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Taxonomy construction is done with help of a user by applying
delete, add, move and other operations
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Ontominer will experiment with a variaty of similarity measures
Links:
Semantic Enterprise Course Home,
Semantic Enterprise Reading/References,
Course Material,
Students,
Instructor
Last update: 2002-11-20
Last modified: May 03, 2006; Boanerges Aleman-Meza
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