基于领域本体的Web服务搜索

Xu Bin, Wang Yan, Zhang Po, Li Juanzi
{"title":"基于领域本体的Web服务搜索","authors":"Xu Bin, Wang Yan, Zhang Po, Li Juanzi","doi":"10.1109/SOSE.2005.42","DOIUrl":null,"url":null,"abstract":"Searching proper Web services is the basic step to composite Web services into applications. Current searching in UDDI servers is based on taxonomy and tModel, which is not convenient to find domain related Web services. In this paper, we propose a method to search Web services based on domain ontology. Firstly the WSDL crawler collects the WSDL files from the Internet resources like Google, Baidu and XMethods as much as possible. Secondly ontology is used to represent the domain, such as travel ontology. Thirdly a support vector machine (SVM) classifier is constructed to select the domain WSDL files from the collected WSDL files; domain vector is built according to the domain ontology, and features are extracted from WSDL files to train the SVM classifier. Finally we evaluate the method through experiment and show that the method is effective.","PeriodicalId":229065,"journal":{"name":"IEEE International Workshop on Service-Oriented System Engineering (SOSE'05)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Web services searching based on domain ontology\",\"authors\":\"Xu Bin, Wang Yan, Zhang Po, Li Juanzi\",\"doi\":\"10.1109/SOSE.2005.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Searching proper Web services is the basic step to composite Web services into applications. Current searching in UDDI servers is based on taxonomy and tModel, which is not convenient to find domain related Web services. In this paper, we propose a method to search Web services based on domain ontology. Firstly the WSDL crawler collects the WSDL files from the Internet resources like Google, Baidu and XMethods as much as possible. Secondly ontology is used to represent the domain, such as travel ontology. Thirdly a support vector machine (SVM) classifier is constructed to select the domain WSDL files from the collected WSDL files; domain vector is built according to the domain ontology, and features are extracted from WSDL files to train the SVM classifier. Finally we evaluate the method through experiment and show that the method is effective.\",\"PeriodicalId\":229065,\"journal\":{\"name\":\"IEEE International Workshop on Service-Oriented System Engineering (SOSE'05)\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Workshop on Service-Oriented System Engineering (SOSE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOSE.2005.42\",\"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 Workshop on Service-Oriented System Engineering (SOSE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOSE.2005.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

搜索适当的Web服务是将Web服务组合到应用程序中的基本步骤。当前UDDI服务器中的搜索是基于分类法和tModel的,查找与域相关的Web服务不方便。本文提出了一种基于领域本体的Web服务搜索方法。首先,WSDL爬虫尽可能多地从Google、Baidu、XMethods等互联网资源中收集WSDL文件。其次用本体来表示领域,如旅游本体;第三,构造支持向量机分类器,从收集到的WSDL文件中选择域WSDL文件;根据领域本体构建领域向量,并从WSDL文件中提取特征来训练SVM分类器。最后通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web services searching based on domain ontology
Searching proper Web services is the basic step to composite Web services into applications. Current searching in UDDI servers is based on taxonomy and tModel, which is not convenient to find domain related Web services. In this paper, we propose a method to search Web services based on domain ontology. Firstly the WSDL crawler collects the WSDL files from the Internet resources like Google, Baidu and XMethods as much as possible. Secondly ontology is used to represent the domain, such as travel ontology. Thirdly a support vector machine (SVM) classifier is constructed to select the domain WSDL files from the collected WSDL files; domain vector is built according to the domain ontology, and features are extracted from WSDL files to train the SVM classifier. Finally we evaluate the method through experiment and show that the method is effective.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信