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Journal of Applied Sciences
  Year: 2012 | Volume: 12 | Issue: 7 | Page No.: 653-660
DOI: 10.3923/jas.2012.653.660
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Semantic Aggregator of Public Professional Events

Lilac Al-Safadi, Nour Alkhatib, Rawan Babaier and Lama Assum

The data on the web has been created by a large number of people and is hosted in a large number of independent resources across the globe. Therefore, there is a need to develop data aggregators to help the process of knowledge-based integration. The data without central coordination resulted in heterogeneity. The integration of data on the Internet continues to be a challenge for searching and discovery efforts. Semantic aggregators are agents for data integration using semantic web techniques. Semantic web technologies provide the capability to more easily aggregate data and thus can be utilized to improve the efficiency of information discovery. This study describes an implementation of a semantic web infrastructure that collects and integrates data in Extensible Markup Language (XML) format and utilizes the Resource Description Framework (RDF) Data model as the repository. One of the main challenges addressed in this paper is the heterogeneity of existing XML schemata and semantics of websites. The proposed approach is designed to be implemented and tested on publicly available professional events.
PDF Fulltext XML References Citation Report Citation
  •    Web Intelligence in Information Retrieval
  •    A Standard Framework for Personalization Via Ontology-Based Query Expansion
  •    Composing Semantic Relations among Ontologies with a Description Logics
  •    Web Intelligence Analysis in the Semantic Web Based on Domain Ontology
How to cite this article:

Lilac Al-Safadi, Nour Alkhatib, Rawan Babaier and Lama Assum, 2012. Semantic Aggregator of Public Professional Events. Journal of Applied Sciences, 12: 653-660.

DOI: 10.3923/jas.2012.653.660






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