Mamdouh Farouk

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Representing web data into a machine understandable format is a curtail task for the next generation of the web. Most of current web pages are dynamic pages. A large percentage of these web pages get their contents from underlying database. This work proposes an approach to represent dynamic web pages into Concept Description Language (CDL) semantic format.(More)
Since the start of linked data project, more and more people publish their data in the linked data cloud as RDF data. Searching RDF data is important to exploit this massive amount of well-represented data. Finding implicit data is one challenge in searching RDF data. This work proposes an inference-based engine for SPARQL queries. Using inference our(More)
The web of data is a web vision in which data are represented into RDF and interlinked to each other. The fast growth of linked data motivates researchers to exploit this huge amount of well-represented data in linked data cloud. Moreover, finding the implicit answers is important to enable web agent to understand deeply web data. This paper proposes a(More)
Representing web data into a machine understandable format is a curtail task for the next generation of the web. Most of solutions are relying on ontologies. However, there are many problems of using ontologies. This paper proposes an approach to represent dynamic web page contents retrieved from underlying database, into Concept Description Language(More)
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