{"title":"处理用户偏好和语义Web服务发现中的附加价值","authors":"L. Kovács, A. Micsik, Peter Pallinger","doi":"10.1109/ICWS.2007.96","DOIUrl":null,"url":null,"abstract":"This paper presents the discovery engine implemented for the INFRAWEBS project, which combines a traditional IR-based pre-filtering step and a logic-based matching implemented in Prolog. The logic-based step of discovery uses a novel technique based on Prolog-style unification of terms. This approach performs well in finding matches of intersection type, and it also provides possibilities to compare, rank and explain these matches. Furthermore, it can support matching and ranking based on users' preferences compared to the added value offered by services.","PeriodicalId":208234,"journal":{"name":"IEEE International Conference on Web Services (ICWS 2007)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Handling User Preferences and Added Value in Discovery of Semantic Web Services\",\"authors\":\"L. Kovács, A. Micsik, Peter Pallinger\",\"doi\":\"10.1109/ICWS.2007.96\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the discovery engine implemented for the INFRAWEBS project, which combines a traditional IR-based pre-filtering step and a logic-based matching implemented in Prolog. The logic-based step of discovery uses a novel technique based on Prolog-style unification of terms. This approach performs well in finding matches of intersection type, and it also provides possibilities to compare, rank and explain these matches. Furthermore, it can support matching and ranking based on users' preferences compared to the added value offered by services.\",\"PeriodicalId\":208234,\"journal\":{\"name\":\"IEEE International Conference on Web Services (ICWS 2007)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Web Services (ICWS 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWS.2007.96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Web Services (ICWS 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWS.2007.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Handling User Preferences and Added Value in Discovery of Semantic Web Services
This paper presents the discovery engine implemented for the INFRAWEBS project, which combines a traditional IR-based pre-filtering step and a logic-based matching implemented in Prolog. The logic-based step of discovery uses a novel technique based on Prolog-style unification of terms. This approach performs well in finding matches of intersection type, and it also provides possibilities to compare, rank and explain these matches. Furthermore, it can support matching and ranking based on users' preferences compared to the added value offered by services.
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