{"title":"基于语义Web的信息查询系统，实现了语义数据的集成","authors":"Okkyung Choi, Sang-Yong Han, A. Abraham","doi":"10.1109/NWESP.2005.68","DOIUrl":null,"url":null,"abstract":"In this paper, we propose semantic Web based information query system (SW-IQS) using ontology server. SW-IQS is supposed to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. For the interoperability and easy integration, we suggest RDF based repository system. A new ranking algorithm is also proposed to measure the similarity between documents with semantic information for rapid and correct information retrieval. The proposed algorithm is implemented and compared with some of the existing models.","PeriodicalId":433802,"journal":{"name":"International Conference on Next Generation Web Services Practices (NWeSP'05)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Semantic Web based information query system for the integration of semantic data\",\"authors\":\"Okkyung Choi, Sang-Yong Han, A. Abraham\",\"doi\":\"10.1109/NWESP.2005.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose semantic Web based information query system (SW-IQS) using ontology server. SW-IQS is supposed to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. For the interoperability and easy integration, we suggest RDF based repository system. A new ranking algorithm is also proposed to measure the similarity between documents with semantic information for rapid and correct information retrieval. The proposed algorithm is implemented and compared with some of the existing models.\",\"PeriodicalId\":433802,\"journal\":{\"name\":\"International Conference on Next Generation Web Services Practices (NWeSP'05)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Next Generation Web Services Practices (NWeSP'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NWESP.2005.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Next Generation Web Services Practices (NWeSP'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NWESP.2005.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic Web based information query system for the integration of semantic data
In this paper, we propose semantic Web based information query system (SW-IQS) using ontology server. SW-IQS is supposed to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. For the interoperability and easy integration, we suggest RDF based repository system. A new ranking algorithm is also proposed to measure the similarity between documents with semantic information for rapid and correct information retrieval. The proposed algorithm is implemented and compared with some of the existing models.
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