{"title":"Ontology alignment argumentation with mutual dependency between arguments and mappings","authors":"P. Maio, Nuno Silva","doi":"10.1109/ICDEW.2010.5452705","DOIUrl":null,"url":null,"abstract":"For a successful communication, autonomous entities (e.g. agents, web services, peers) must reconcile vocabulary used in their ontologies. The result is a set of mappings between ontology entities. Since each party might have its own perspective about what are the best mappings, conflicts will arise. Toward a mapping consensus building between information exchanging parties, this paper proposes an approach based on a formal argumentation framework, whose existing ontology matching algorithms generate the mappings, which are further interpreted into semantic arguments employed during the argumentation. The proposal models a mutual dependency between the mappings and arguments, which goes beyond the state of the art in argumentation-based ontology alignment negotiation, better reflecting the requirements of the task.","PeriodicalId":442345,"journal":{"name":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2010.5452705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For a successful communication, autonomous entities (e.g. agents, web services, peers) must reconcile vocabulary used in their ontologies. The result is a set of mappings between ontology entities. Since each party might have its own perspective about what are the best mappings, conflicts will arise. Toward a mapping consensus building between information exchanging parties, this paper proposes an approach based on a formal argumentation framework, whose existing ontology matching algorithms generate the mappings, which are further interpreted into semantic arguments employed during the argumentation. The proposal models a mutual dependency between the mappings and arguments, which goes beyond the state of the art in argumentation-based ontology alignment negotiation, better reflecting the requirements of the task.