{"title":"上下文索引算法","authors":"L. Sankpal, S. Patil, Dhanashri K. Joshi","doi":"10.1109/ICCNT.2010.22","DOIUrl":null,"url":null,"abstract":"A lot of semantic information is lost due to keyword centric approach of information indexing. Web search should be based on ‘context’ of the query and not only on the keywords in query. It is only possible when a context from a query as well as document is sensed and which requires a context based indexing approach. A model for contextual indexing has been proposed which will try to find direct and indirect associations between keywords/concepts in a document and their related contexts with respect to query, thereby helping web searching become more relevant and precise.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contextual Indexing Algorithm\",\"authors\":\"L. Sankpal, S. Patil, Dhanashri K. Joshi\",\"doi\":\"10.1109/ICCNT.2010.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A lot of semantic information is lost due to keyword centric approach of information indexing. Web search should be based on ‘context’ of the query and not only on the keywords in query. It is only possible when a context from a query as well as document is sensed and which requires a context based indexing approach. A model for contextual indexing has been proposed which will try to find direct and indirect associations between keywords/concepts in a document and their related contexts with respect to query, thereby helping web searching become more relevant and precise.\",\"PeriodicalId\":135847,\"journal\":{\"name\":\"2010 Second International Conference on Computer and Network Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer and Network Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCNT.2010.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer and Network Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNT.2010.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A lot of semantic information is lost due to keyword centric approach of information indexing. Web search should be based on ‘context’ of the query and not only on the keywords in query. It is only possible when a context from a query as well as document is sensed and which requires a context based indexing approach. A model for contextual indexing has been proposed which will try to find direct and indirect associations between keywords/concepts in a document and their related contexts with respect to query, thereby helping web searching become more relevant and precise.
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