Paradox in applications of semantic similarity models in information retrieval

Paradox in applications of semantic similarity models in information retrieval

Semantic similarity models are a series of mathematical models for computing semantic similarity values among nodes in a semantic net. In this paper we reveal the paradox in the applications of these semantic similarity models in the field of information retrieval, which is that these models rely on...

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Bibliographic Details
Main Authors: Dong, Hai, Hussain, Farookh Khadeer, Chang, Elizabeth
Other Authors: Ulieru. M.
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers (IEEE) 2008
Subjects:
information retrieval
semantic similarity models
semantic net
Online Access:http://hdl.handle.net/20.500.11937/10921

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