2014Journal of Digital Information ManagementOpen access

Multi-Strategy Query Expansion Method Based on Semantics

Li Li, Hongbing Wang

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Abstract

Query expansion adds related words to a user query in order to improve retrieval results. It’s an important step in information retrieval. Most of current query expansion methods pay attention to specific expansion strategies or algorithms, while neglecting the query itself. In reaction to the phenomenon, a multistrategy query expansion method based on semantics was proposed. This method started by analyzing the semantic structure of user query, and adopted corresponding strategy to select expansion terms. The expansion words are derived from three parts: WordNet, massive web page set and search engine performance evaluation data, which were merged semantically in each expansion algorithm later. The experiment showed this method can improve retrieval results to some extent. Subject Categories and Descriptors H.3.3 [Information Search and Retrieval]; Query Formulation: I.2.7 [Natural Language Processing] General Terms: Information Retrieval, Query Expansion

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What this paper is about

Query expansion adds related words to a user query in order to improve retrieval results. It’s an important step in information retrieval. Most of current query expansion methods pay attention to specific expansion strategies or algorithms, while neglecting the query itself. In reaction to the phenomenon, a multistrategy query expansion method based on semantics was proposed. This method started by analyzing the semantic structure of user query, and adopted corresponding strategy to select expansion terms. The expansion words are derived from three parts: WordNet, massive web page set and search engine performance evaluation data, which were merged semantically in each expansion algorithm later. The experiment showed this method can improve retrieval results to some extent. Subject Categories and Descriptors H.3.3 [Information Search and Retrieval]; Query Formulation: I.2.7 [Natural Language Processing] General Terms: Information Retrieval, Query Expansion

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Available abstract

Query expansion adds related words to a user query in order to improve retrieval results. It’s an important step in information retrieval. Most of current query expansion methods pay attention to specific expansion strategies or algorithms, while neglecting the query itself. In reaction to the phenomenon, a multistrategy query expansion method based on semantics was proposed. This method started by analyzing the semantic structure of user query, and adopted corresponding strategy to select expansion terms. The expansion words are derived from three parts: WordNet, massive web page set and search engine performance evaluation data, which were merged semantically in each expansion algorithm later. The experiment showed this method can improve retrieval results to some extent. Subject Categories and Descriptors H.3.3 [Information Search and Retrieval]; Query Formulation: I.2.7 [Natural Language Processing] General Terms: Information Retrieval, Query Expansion

Key concepts: Query expansion, Computer science, Information retrieval, Web search query, Web query classification, Query optimization, Query language, Sargable

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