{"title":"基于本体的语义搜索引擎原型","authors":"Ahmad Maziz Esa, S. Taib, Hong Nguyen Thi","doi":"10.1109/ICOS.2010.5720073","DOIUrl":null,"url":null,"abstract":"In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually linked instead of just similarity of the words used. This paper also provides in depth description of the architecture design of our proposed modified search engine. This paper describes how the mechanism is designed so that the search engine can extract information stored based on the ontology and present a semantically linked search results. The benefits and future improvements are also discussed.","PeriodicalId":262432,"journal":{"name":"2010 IEEE Conference on Open Systems (ICOS 2010)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Prototype of semantic search engine using ontology\",\"authors\":\"Ahmad Maziz Esa, S. Taib, Hong Nguyen Thi\",\"doi\":\"10.1109/ICOS.2010.5720073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually linked instead of just similarity of the words used. This paper also provides in depth description of the architecture design of our proposed modified search engine. This paper describes how the mechanism is designed so that the search engine can extract information stored based on the ontology and present a semantically linked search results. The benefits and future improvements are also discussed.\",\"PeriodicalId\":262432,\"journal\":{\"name\":\"2010 IEEE Conference on Open Systems (ICOS 2010)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Conference on Open Systems (ICOS 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOS.2010.5720073\",\"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 IEEE Conference on Open Systems (ICOS 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOS.2010.5720073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prototype of semantic search engine using ontology
In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually linked instead of just similarity of the words used. This paper also provides in depth description of the architecture design of our proposed modified search engine. This paper describes how the mechanism is designed so that the search engine can extract information stored based on the ontology and present a semantically linked search results. The benefits and future improvements are also discussed.