THESAURUS AND QUERY EXPANSION
THESAURUS AND QUERY EXPANSION
复制标题
同义词库和查询扩展
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Aditi Sharan
中科院分区：
文献类型：
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作者：
Hazra Imran;Aditi Sharan
万维网的爆炸式增长使得用户难以定位与他/她的兴趣相关的信息。虽然现有的搜索引擎在一定程度上工作得很好，但它们仍然面临着诸如词不匹配的问题，这是因为大多数信息检索系统在词汇水平上而不是在语义水平上比较查询和文档术语以及短查询：用户的查询的平均长度小于两个词。用户查询词的长度较短以及查询词与文档词的不兼容性严重影响了相关文档的检索。查询扩展一直被认为是一种提高信息检索效率的技术。查询扩展是指在原始查询中添加额外的术语或短语以提高检索性能的过程。查询扩展的核心问题是扩展词的选择，在此基础上扩展用户的原始查询。叙词表有助于解决这个问题。叙词表经常被用于信息检索系统中，以识别语义相似的同义表达和语言实体。叙词表在信息检索、自然语言处理等领域有着广泛的应用。
The explosive growth of the World Wide Web is making it difficult for a user to locate information that is relevant to his/her interest. Though existing search engines work well to a certain extent but they still face problems like word mismatch which arises because the majority of information retrieval systems compare query and document terms on lexical level rather than on semantic level and short query: the average length of queries by the user is less than two words. Short queries and the incompatibility between the terms in user queries and documents strongly affect the retrieval of relevant document. Query expansion has long been suggested as a technique to increase the effectiveness of the information retrieval. Query expansion is the process of supplementing additional terms or phrases to the original query to improve the retrieval performance. The central problem of query expansion is the selection of the expansion terms based on which user’s original query is expanded. Thesaurus helps to solve this problem. Thesaurus have frequently been incorporated in information retrieval system for identifying the synonymous expressions and linguistic entities that are semantically similar. Thesaurus has been widely used in many applications, including information retrieval and natural language processing.