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CIKM
2006
Springer

CP/CV: concept similarity mining without frequency information from domain describing taxonomies

13 years 7 months ago
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
Domain specific ontologies are heavily used in many applications. For instance, these form the bases on which similarity/dissimilarity between keywords are extracted for various knowledge discovery and retrieval tasks. Existing similarity computation schemes can be categorized as (a) structure- or (b) information-based approaches. Structurebased approaches compute dissimilarity between keywords using a (weighted) count of edges between two keywords. Information-base approaches, on the other hand, leverage available corpora to extract additional information, such as keyword frequency, to achieve better performance in similarity computation than structure-based approaches. Unfortunately, in many application domains (such as applications that rely on unique-keys in a relational database), frequency information required by information-based approaches does not exist. In this paper, we note that there is a third way of computing similarity: if each node in a given hierarchy can be represen...
Jong Wook Kim, K. Selçuk Candan
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CIKM
Authors Jong Wook Kim, K. Selçuk Candan
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