Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison
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 top...
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| creator | Hsu, Ming-Hung Tsai, Ming-Feng Chen, Hsin-Hsi |
| description | 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. |
| doi_str_mv | 10.1007/11880592_1 |
| format | Book Chapter |
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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.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540457801</identifier><identifier>ISBN: 9783540457800</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540462376</identifier><identifier>EISBN: 9783540462378</identifier><identifier>DOI: 10.1007/11880592_1</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Average Precision ; Computer science; control theory; systems ; Discrimination Ability ; Exact sciences and technology ; Information systems. Data bases ; Memory organisation. 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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.</description><subject>Applied sciences</subject><subject>Average Precision</subject><subject>Computer science; control theory; systems</subject><subject>Discrimination Ability</subject><subject>Exact sciences and technology</subject><subject>Information systems. 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Data processing</topic><topic>Query Expansion</topic><topic>Query Term</topic><topic>Retrieval Performance</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hsu, Ming-Hung</creatorcontrib><creatorcontrib>Tsai, Ming-Feng</creatorcontrib><creatorcontrib>Chen, Hsin-Hsi</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hsu, Ming-Hung</au><au>Tsai, Ming-Feng</au><au>Chen, Hsin-Hsi</au><au>Ng, Hwee Tou</au><au>Ji, Donghong</au><au>Leong, Mun-Kew</au><au>Kan, Min-Yen</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison</atitle><btitle>Information Retrieval Technology</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2006</date><risdate>2006</risdate><spage>1</spage><epage>13</epage><pages>1-13</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540457801</isbn><isbn>9783540457800</isbn><eisbn>3540462376</eisbn><eisbn>9783540462378</eisbn><abstract>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.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11880592_1</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Information Retrieval Technology, 2006, p.1-13 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19105062 |
| source | Springer Books |
| subjects | Applied sciences Average Precision Computer science control theory systems Discrimination Ability Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Query Expansion Query Term Retrieval Performance Software |
| title | Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison |
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