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Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison
Author(s) -
Ming-Hung Hsu,
Ming-Feng Tsai,
HsinHsi Chen
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-45780-1
DOI - 10.1007/11880592_1
Subject(s) - wordnet , computer science , query expansion , information retrieval , resource (disambiguation) , artificial intelligence , natural language processing , computer network
This paper compares the utilization of ConceptNet and WordNet in query expansion. Spreading activation selects candidate terms for query expansion from these two resources. Three measures including discrimination ability, concept diversity, and retrieval performance are used for comparisons. The topics and document collections in the ad hoc track of TREC-6, TREC-7 and TREC-8 are adopted in the experiments. The results show that ConceptNet and WordNet are complementary. Queries expanded with WordNet have higher discrimination ability. In contrast, queries expanded with ConceptNet have higher concept diversity. The performance of queries expanded by selecting the candidate terms from ConceptNet and WordNet outperforms that of queries without expansion, and queries expanded with a single resource.

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