Semantic Enterprise Optimizer and Coexistence of Data Models
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 727
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ACSIJ-1-1_006
تاریخ نمایه سازی: 21 فروردین 1393
چکیده مقاله:
The authors propose a semantic ontology–driven enterprise data–model architecture for interoperability, integration, and adaptability for evolution, by autonomic agent-driven intelligentdesign of logical as well as physical data models in a heterogeneous distributed enterprise through its life cycle.An enterprise-standard ontology (in Web Ontology Language [OWL] and Semantic Web Rule Language [SWRL]) for data is required to enable an automated dataplatform that adds life-cycle activities to the current Microsoft Enterprise Search and extend Microsoft SQL Server through various engines for unstructured data types, as well as many domain types that are configurable by users through a Semantic- query optimizer, and usingMicrosoft Office SharePoint Server (MOSS) as a content and metadata repository to tie all these components together
نویسندگان
P. A. Sundararajan
Infosys Technologies Ltd., United Kingdom
Anupama Nithyanand
Infosys Technologies Ltd., United Kingdom
S.V Subrahmanya
Infosys Technologies Ltd., United Kingdom