A graph-based approach for extracting terminological properties of elements of XML documents

L. Palopoli, G. Terracina, D. Ursino
{"title":"A graph-based approach for extracting terminological properties of elements of XML documents","authors":"L. Palopoli, G. Terracina, D. Ursino","doi":"10.1109/ICDE.2001.914845","DOIUrl":null,"url":null,"abstract":"XML is rapidly becoming a standard for information exchange over the Web. Web providers and applications using XML for representing and exchanging their data make their information available in such a way that interoperability can be easily reached. However in order to guarantee both the exchange of XML documents and the interoperability between information providers, it is often needed to single out semantic similarity properties relating concepts of different XML documents. This paper gives a contribution to this framework by proposing a technique for extracting synonymies and homonymies. The derivation technique is based on a rich conceptual model (called SDR-Network) which is used to represent concepts expressed in XML documents as well as the semantic relationships holding among them.","PeriodicalId":431818,"journal":{"name":"Proceedings 17th International Conference on Data Engineering","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 17th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2001.914845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37

Abstract

XML is rapidly becoming a standard for information exchange over the Web. Web providers and applications using XML for representing and exchanging their data make their information available in such a way that interoperability can be easily reached. However in order to guarantee both the exchange of XML documents and the interoperability between information providers, it is often needed to single out semantic similarity properties relating concepts of different XML documents. This paper gives a contribution to this framework by proposing a technique for extracting synonymies and homonymies. The derivation technique is based on a rich conceptual model (called SDR-Network) which is used to represent concepts expressed in XML documents as well as the semantic relationships holding among them.
一种基于图的方法,用于提取XML文档元素的术语属性
XML正迅速成为通过Web进行信息交换的标准。使用XML表示和交换数据的Web提供者和应用程序以一种容易实现互操作性的方式提供信息。但是,为了保证XML文档的交换和信息提供者之间的互操作性,通常需要挑出与不同XML文档的概念相关的语义相似性属性。本文提出了一种提取同义词和同义词的技术,对这个框架做出了贡献。派生技术基于一个丰富的概念模型(称为SDR-Network),该模型用于表示XML文档中表达的概念以及它们之间的语义关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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