模型驱动架构中语义丰富的方法论方面

Mouhamed Diouf, K. Musumbu, S. Maabout
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引用次数: 4

摘要

语义网是对Web未来的一种展望,其中信息被赋予明确的含义,使机器更容易自动处理和集成Web上可用的信息。本体定义了用于描述和表示知识领域的术语。本体由需要共享领域信息的人员、数据库和应用程序使用(领域只是一个特定的主题领域或知识领域,如医学、工具制造、房地产、汽车维修、财务管理等)。在本文中,我们将这两个概念结合起来,利用所有新提取的信息,根据相应的领域本体对元数据模型进行注释,以提高整个系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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