{"title":"基于语义骨架的查询扩展方法","authors":"Wensheng Yin, P. Tu, Fan Xu, Hengxi Zhang","doi":"10.1109/IWISA.2009.5073197","DOIUrl":null,"url":null,"abstract":"The query method most commonly used is keywords query. The recall of document can be greatly improved through the expansion of synonymy, near-synonymy and hyponymy of keywords, but the precision may not always rise even to decline. In order to improve the precision, the mode of query expansion based on semantic skeleton must be used. Through analyzing the sentences, which are the components of basic semantic unit, this paper points out that the important factor to express the basic semantic meaning of the sentence is the basic components of sentence, which form the semantic skeleton of sentence. When users input their search requirements by query clause interface, the system can obtain their semantic skeleton, and obtain the documents desired by users through the match operation between the query document sentences and the semantic skeleton. Keywords-information retrieval; query expansion; semantic query; semantic skeleton","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"92 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Query Expansion Method Based on Semantic Skeleton\",\"authors\":\"Wensheng Yin, P. Tu, Fan Xu, Hengxi Zhang\",\"doi\":\"10.1109/IWISA.2009.5073197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The query method most commonly used is keywords query. The recall of document can be greatly improved through the expansion of synonymy, near-synonymy and hyponymy of keywords, but the precision may not always rise even to decline. In order to improve the precision, the mode of query expansion based on semantic skeleton must be used. Through analyzing the sentences, which are the components of basic semantic unit, this paper points out that the important factor to express the basic semantic meaning of the sentence is the basic components of sentence, which form the semantic skeleton of sentence. When users input their search requirements by query clause interface, the system can obtain their semantic skeleton, and obtain the documents desired by users through the match operation between the query document sentences and the semantic skeleton. Keywords-information retrieval; query expansion; semantic query; semantic skeleton\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":\"92 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5073197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5073197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Query Expansion Method Based on Semantic Skeleton
The query method most commonly used is keywords query. The recall of document can be greatly improved through the expansion of synonymy, near-synonymy and hyponymy of keywords, but the precision may not always rise even to decline. In order to improve the precision, the mode of query expansion based on semantic skeleton must be used. Through analyzing the sentences, which are the components of basic semantic unit, this paper points out that the important factor to express the basic semantic meaning of the sentence is the basic components of sentence, which form the semantic skeleton of sentence. When users input their search requirements by query clause interface, the system can obtain their semantic skeleton, and obtain the documents desired by users through the match operation between the query document sentences and the semantic skeleton. Keywords-information retrieval; query expansion; semantic query; semantic skeleton