K. Breitman, D. Brauner, M. Casanova, R. Milidiú, A. Gazola, M. Perazolo
{"title":"Instance-Based Ontology Mapping","authors":"K. Breitman, D. Brauner, M. Casanova, R. Milidiú, A. Gazola, M. Perazolo","doi":"10.1109/EASE.2008.18","DOIUrl":null,"url":null,"abstract":"We have explored the use of formal ontology and alignment techniques as a general approach to mediate and reconcile different representations. This approach proved to be very effective when fueled by ontologies rich in detail, (properties, restrictions, attributes and axioms that hold among classes), but performs poorly when available representations are incomplete or lacking, which is often the case in real life settings. In this paper we propose an enhancement to the original approach, based on a, instance-based matching technique.","PeriodicalId":383637,"journal":{"name":"Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems (ease 2008)","volume":"27 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems (ease 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EASE.2008.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
We have explored the use of formal ontology and alignment techniques as a general approach to mediate and reconcile different representations. This approach proved to be very effective when fueled by ontologies rich in detail, (properties, restrictions, attributes and axioms that hold among classes), but performs poorly when available representations are incomplete or lacking, which is often the case in real life settings. In this paper we propose an enhancement to the original approach, based on a, instance-based matching technique.