Automatic acquisition of concepts from domain texts

Document Type

Conference Proceeding

Publication Date

11-22-2006

Abstract

Domain specific concept extraction is a key component in ontology construction for Semantic Web applications. Manual concept extraction is costly both in time and labor. In this paper, we present several heuristic methods for automatic concepts extraction from domain texts. These methods aim to improve the precision and recall over the word frequency-based techniques. Precision is improved by elimination of irrelevant terms using word sense information. Recall is enhanced by adding new concepts formed by composition of relevant words. Our methods are domain independent, and can be applied in fully automatic way to the concept extraction task. Experimental results on the electronic voting domain texts (from New York Times) are presented which show the promise of the proposed methods. © 2006 IEEE.

Publication Source (Journal or Book title)

2006 IEEE International Conference on Granular Computing

First Page

424

Last Page

427

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