{"title":"语义查询扩展的上下文感知方法","authors":"N. Ahmadian, M. Nematbakhsh, H. Vahdat-Nejad","doi":"10.1109/INNOVATIONS.2011.5893868","DOIUrl":null,"url":null,"abstract":"Keyword based search scheme imposes the problem of representing a lot of web pages in the search engines. Query expansion with relevant words increases the performance of search engines, but finding and using the relevant words is an open problem. In this research we describe a new model for query expansion which employs user context and semantic concepts to discover new words for obtaining accurate results. Experimental results show an enhancement on information retrieval performance comparing to the traditional approaches.","PeriodicalId":173102,"journal":{"name":"2011 International Conference on Innovations in Information Technology","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A context aware approach to semantic query expansion\",\"authors\":\"N. Ahmadian, M. Nematbakhsh, H. Vahdat-Nejad\",\"doi\":\"10.1109/INNOVATIONS.2011.5893868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Keyword based search scheme imposes the problem of representing a lot of web pages in the search engines. Query expansion with relevant words increases the performance of search engines, but finding and using the relevant words is an open problem. In this research we describe a new model for query expansion which employs user context and semantic concepts to discover new words for obtaining accurate results. Experimental results show an enhancement on information retrieval performance comparing to the traditional approaches.\",\"PeriodicalId\":173102,\"journal\":{\"name\":\"2011 International Conference on Innovations in Information Technology\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Innovations in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INNOVATIONS.2011.5893868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Innovations in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INNOVATIONS.2011.5893868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A context aware approach to semantic query expansion
Keyword based search scheme imposes the problem of representing a lot of web pages in the search engines. Query expansion with relevant words increases the performance of search engines, but finding and using the relevant words is an open problem. In this research we describe a new model for query expansion which employs user context and semantic concepts to discover new words for obtaining accurate results. Experimental results show an enhancement on information retrieval performance comparing to the traditional approaches.