{"title":"The validation and analysis of component-based metadata integration","authors":"R. Wu","doi":"10.1145/1352694.1352699","DOIUrl":null,"url":null,"abstract":"Component decision and validation using political and analytical models are applicable in creating the foundation of component-based enterprise architecture. This research deals with both political and analytical models to take the results from the group decision for further development. We demonstrate how to use analysis and modeling techniques to produce the common component and service aggregation which is the foundation of enterprise integration. Decision input from human factors plays a crucial role in component-based design. We have extended the focus of the methods and techniques to component decision in supporting enterprise integration and ontology interoperability, to follow the nature of business performance. As we believe human interactivity in this early analysis and pre-design stage plays a key role in the integration's success, we have assessed the feasibility and received the consensus of the pre-design stage of industry.","PeriodicalId":165011,"journal":{"name":"Euro American Conference on Telematics and Information Systems","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Euro American Conference on Telematics and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1352694.1352699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Component decision and validation using political and analytical models are applicable in creating the foundation of component-based enterprise architecture. This research deals with both political and analytical models to take the results from the group decision for further development. We demonstrate how to use analysis and modeling techniques to produce the common component and service aggregation which is the foundation of enterprise integration. Decision input from human factors plays a crucial role in component-based design. We have extended the focus of the methods and techniques to component decision in supporting enterprise integration and ontology interoperability, to follow the nature of business performance. As we believe human interactivity in this early analysis and pre-design stage plays a key role in the integration's success, we have assessed the feasibility and received the consensus of the pre-design stage of industry.