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Semantic Web : How The Machine Can Be More Intelligent When Accessing Web Data

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Summary:
The paper Semantic Web talks about how the machine can be more intelligent when accessing web data. It involves making a machine understand the semantics of the data present on the web and also making them understand the human perspective. The research first tries the basic requirement outlines for the semantic web. Like the creation of ontologies and different relationship using which a machine can learn the context. The paper then discusses the creation of agents which takes advantage of the semantic web technology and gives a more personalized output to the user. In the paper the author has taken few real life examples is setting the benchmark requirements of the semantic web.

The paper Semantic Web Revisited elaborates on the topic mentioned by the paper Semantic Web. The paper starts off with current research development in semantic web field and the challenges being faced. The paper describes the creation of basic language, framework, and protocols for the development of ontologies and logical connections. It elaborates on how other research fields like biology, medicine, environmental science etc. are helping in creating standardize ontologies. The paper also describes working and limitations of various technologies that are being used in the field of the semantic webs like XML, RDF, OWL, and Rules. The paper then focuses on the development aspect of ontologies and various challenges faced while creating a large community.

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