DocumentCode
1585720
Title
RDF Repository of Experts Based on Context Oriented Automatic Annotation Framework
Author
Hatem, Muna ; Neagu, Daniel ; Ramadan, Haider
Author_Institution
Dept. of Comput., Univ. of Bradford, Bradford
fYear
2008
Firstpage
29
Lastpage
34
Abstract
Semantic Web applications use domain Ontology together with Web pages annotated with machine- understandable metadata related to the Ontology. Current Semantic Web applications often rely on the participation of individuals to annotate their documents or create a special page to describe the information and semantics needed. The annotation process has limited the success of such systems. We, at Sultan Qaboos University (SQU), are working on developing a Semantic web application of the researchers working at the university or collaborating with researchers who are working at the university. The Web pages processed contain both English and Arabic texts. In implementing this work, we do not involve researchers in the annotation process; we introduce and use an automatic annotation framework to create the metadata required. The framework produces a Jena model of researchers´ information and the annotated versions of the processed web pages. This work will be used as an initial semantic- based model that will eventually include implementing all the other applications at SQU, especially the e- learning system currently on WebCT.
Keywords
meta data; ontologies (artificial intelligence); semantic Web; RDF repository; Sultan Qaboos University; Web pages; WebCT; context oriented automatic annotation framework; e-learning system; metadata; ontology; semantic Web; Application software; Asia; Collaborative work; Computational modeling; Context modeling; HTML; Ontologies; Resource description framework; Semantic Web; Web pages; Automatic Annotation; Control Knowledge; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-0-7695-3136-6
Electronic_ISBN
978-0-7695-3136-6
Type
conf
DOI
10.1109/AMS.2008.51
Filename
4530447
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