{"title":"模型驱动架构中语义丰富的方法论方面","authors":"Mouhamed Diouf, K. Musumbu, S. Maabout","doi":"10.1109/ICIW.2008.34","DOIUrl":null,"url":null,"abstract":"The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are used by people, databases, and applications that need to share domain information (a domain is just a specific subject area or area of knowledge, like medicine, tool manufacturing, real estate, automobile repair, financial management, etc.). In this paper we combine this two concepts to annotate models with meta-data according to the corresponding domain ontology with all the new extracted information in order to improve the performance of the entire system.","PeriodicalId":139145,"journal":{"name":"2008 Third International Conference on Internet and Web Applications and Services","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Methodological Aspects of Semantics Enrichment in Model Driven Architecture\",\"authors\":\"Mouhamed Diouf, K. Musumbu, S. Maabout\",\"doi\":\"10.1109/ICIW.2008.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are used by people, databases, and applications that need to share domain information (a domain is just a specific subject area or area of knowledge, like medicine, tool manufacturing, real estate, automobile repair, financial management, etc.). In this paper we combine this two concepts to annotate models with meta-data according to the corresponding domain ontology with all the new extracted information in order to improve the performance of the entire system.\",\"PeriodicalId\":139145,\"journal\":{\"name\":\"2008 Third International Conference on Internet and Web Applications and Services\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Conference on Internet and Web Applications and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIW.2008.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Internet and Web Applications and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIW.2008.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methodological Aspects of Semantics Enrichment in Model Driven Architecture
The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are used by people, databases, and applications that need to share domain information (a domain is just a specific subject area or area of knowledge, like medicine, tool manufacturing, real estate, automobile repair, financial management, etc.). In this paper we combine this two concepts to annotate models with meta-data according to the corresponding domain ontology with all the new extracted information in order to improve the performance of the entire system.