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The RDF Generator (RDFG) - First Unit in the Semantic Web Framework (SWF).

Ahmed Nada, Badie Sartawi

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Abstract

The Resources Description Framework RDF Generator (RDFG) is a platform generates the RDF documents from any web page using predefined models for each internet domain, using special web pages classification system. The RDFG is one of the SWF units aimed to standardize the researchers efforts in Semantic Web, by classifying the internet sites to domains, and preparing special RDF model for each domain. RDFG used web intelligent methods for preparing RDF documents such as ontology based semantics matching system to detect the type of web page and knowledgebase machine learning system to create the RDF documents accurately and according to the standard models. RDFG reduce the complexity of the RDF modeling and realize the web entities creating, sharing and reusing.

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What this paper is about

The Resources Description Framework RDF Generator (RDFG) is a platform generates the RDF documents from any web page using predefined models for each internet domain, using special web pages classification system. The RDFG is one of the SWF units aimed to standardize the researchers efforts in Semantic Web, by classifying the internet sites to domains, and preparing special RDF model for each domain. RDFG used web intelligent methods for preparing RDF documents such as ontology based semantics matching system to detect the type of web page and knowledgebase machine learning system to create the RDF documents accurately and according to the standard models. RDFG reduce the complexity of the RDF modeling and realize the web entities creating, sharing and reusing.

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Available abstract

The Resources Description Framework RDF Generator (RDFG) is a platform generates the RDF documents from any web page using predefined models for each internet domain, using special web pages classification system. The RDFG is one of the SWF units aimed to standardize the researchers efforts in Semantic Web, by classifying the internet sites to domains, and preparing special RDF model for each domain. RDFG used web intelligent methods for preparing RDF documents such as ontology based semantics matching system to detect the type of web page and knowledgebase machine learning system to create the RDF documents accurately and according to the standard models. RDFG reduce the complexity of the RDF modeling and realize the web entities creating, sharing and reusing.

Key concepts: RDF, Computer science, RDF Schema, Semantic Web, World Wide Web, Social Semantic Web, Semantic Web Rule Language, RDF/XML

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