{"title":"User-Centered Evaluation Model for Ontology Selection","authors":"Sunju Oh, H. Yeom","doi":"10.1109/WI-IAT.2010.315","DOIUrl":null,"url":null,"abstract":"In this research, a new evaluation model to select adequate ontologies that fit user requirements is proposed. The model consists of selection criteria and measurements. The proposed model presents two novel features distinct from previous research models. First, it enables users to assign weights to the evaluation criteria based on assumed impacts on ontology selection. Second, it enables users to search keywords from multiple ontologies. In addition, new metrics for the selection criteria are proposed. For empirical analysis, a prototype was developed and experiments were performed. The experimental results indicate that our evaluation model for ontology selection is valid and works well. The ultimate goal of this research is to provide an ontology evaluation model, enabling ontology users to select adequate ontologies to user requirements.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IAT.2010.315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this research, a new evaluation model to select adequate ontologies that fit user requirements is proposed. The model consists of selection criteria and measurements. The proposed model presents two novel features distinct from previous research models. First, it enables users to assign weights to the evaluation criteria based on assumed impacts on ontology selection. Second, it enables users to search keywords from multiple ontologies. In addition, new metrics for the selection criteria are proposed. For empirical analysis, a prototype was developed and experiments were performed. The experimental results indicate that our evaluation model for ontology selection is valid and works well. The ultimate goal of this research is to provide an ontology evaluation model, enabling ontology users to select adequate ontologies to user requirements.