Tapping into knowledge base for concept feedback: Leveraging ConceptNet to improve search results for difficult queries

WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2012, Pages 403-412

  Kotov, Alexander ^a   Zhai, Cheng Xiang ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

ConceptNet; Knowledge bases; Query analysis; Query expansion

Indexed keywords

AUTOMATIC QUERY EXPANSION; CLICKTHROUGH DATA; COMMONSENSE KNOWLEDGE; CONCEPTNET; DOCUMENT COLLECTION; GRAPH-BASED REPRESENTATIONS; KNOWLEDGE BASE; KNOWLEDGE BASIS; LEXICO-SEMANTIC; LOCAL ANALYSIS; MULTI-STEP; MULTIPLE DATA; PSEUDO RELEVANCE FEEDBACK; QUERY ANALYSIS; QUERY EXPANSION; RETRIEVAL PERFORMANCE; SEARCH RESULTS; SIMULATION EXPERIMENTS; SYSTEMATIC STUDY; UNSUPERVISED METHOD; WEB RESOURCES; WEB SEARCHES; WIKIPEDIA; WORDNET;

DATA MINING; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; ONTOLOGY; SEMANTICS; WEBSITES;

INFORMATION MANAGEMENT;

EID: 84858010895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2124295.2124344     Document Type: Conference Paper

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