عنوان البحث(Papers / Research Title)
DESIGN OF SVRDBML SYSTEM FOR CLASSIFICATION OF RDF CONTENTS
الناشر \ المحرر \ الكاتب (Author / Editor / Publisher)
أسعد صباح هادي الجبوري
Citation Information
أسعد,صباح,هادي,الجبوري ,DESIGN OF SVRDBML SYSTEM FOR CLASSIFICATION OF RDF CONTENTS , Time 08/03/2014 20:49:36 : كلية تكنولوجيا المعلومات
وصف الابستركت (Abstract)
design an algorithm for classification RDF Contents
الوصف الكامل (Full Abstract)
DESIGN OF SVRDBML SYSTEM FOR CLASSIFICATION OF RDF CONTENTS
ASAAD SABAH HADI*
ABBAS M. AL-BAKRY**
*Dept. of Software, Information Technology College, Babylon University, Iraq
**Dept. of Software, Information Technology College, Babylon University, Iraq
Abstract:-
The Semantic web has change the way for the most researcher to solve the problems of the classical web. The user search for a specific information all the time but most search engines fail to meet the user requirements. The search engine filter the pages from searching unnecessary ones, but the challenge is to answer intelligent queries received from users based on information available in web pages . Most search engine try to access the web pages through Web APIs. The Web API do not assign globally unique identifiers to data items, then it is not possible to set hyperlinks between data items provided by different APIs. Web APIs therefore slice the Web into separate data silos. The Linked Data Principles solve the fragmentation problem. The RDF is the database for the semantic web and the SPARQL is the language for informing the information inside the RDF. The user must know the contents of the RDF before using the SPARQL. In this paper, we design and implement a system that treat the user querying process as a classification problem and we implement this system using BBC nature wildlife website which it is a real database from the Linked Opened Data.The system gives us an excellent result for most classifiers.
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