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2009•Unpublished venueRequires access

Browsing RDF Data:State of Art Survey

Yuzhong Qu

Open publisher page 3 citations

Abstract

With the fast growth of Semantic Web data in recent years,the Semantic Web has become an important source of information and knowledge.Hence,the problem of RDF data browsing has attracted much attention in the Semantic Web community.We studied the differences between Web information browsing and RDF data browsing,and then identified some challenges of the latter,namely,graph pattern design,data collection,large scale data processing,data organization and data presentation.According to these challenges,we surveied a number of systems and tools.In the end we summed up the state of art and identified some directions of future work.

About this research paper

What this paper is about

With the fast growth of Semantic Web data in recent years,the Semantic Web has become an important source of information and knowledge.Hence,the problem of RDF data browsing has attracted much attention in the Semantic Web community.We studied the differences between Web information browsing and RDF data browsing,and then identified some challenges of the latter,namely,graph pattern design,data collection,large scale data processing,data organization and data presentation.According to these challenges,we surveied a number of systems and tools.In the end we summed up the state of art and identified some directions of future work.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

With the fast growth of Semantic Web data in recent years,the Semantic Web has become an important source of information and knowledge.Hence,the problem of RDF data browsing has attracted much attention in the Semantic Web community.We studied the differences between Web information browsing and RDF data browsing,and then identified some challenges of the latter,namely,graph pattern design,data collection,large scale data processing,data organization and data presentation.According to these challenges,we surveied a number of systems and tools.In the end we summed up the state of art and identified some directions of future work.

Key concepts: Computer science, RDF, Linked data, Semantic Web, Information retrieval, World Wide Web, Semantic analytics, Data Web

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