RROVT: A Proposed Visualization Tool for Semantic Web Technologies

Fagbola Temitayo, Olabiyisi Stephen, Adigun Abimbola

Abstract


Visualization is the graphical or semi-graphical representation of information that aids human comprehension of and reasoning about that information. Visualization tools are critically important for creating, querying, visualizing and validating Semantic Web Data. Semantic Web, an efficient infrastructure that enhances visibility of knowledge on the web, is often used more specifically to refer to the formats and technologies that enable it. These technologies include RDF, RDFS and OWL. However, lack of robust and efficient tools to visualize, analyze and represent these technologies within time and space constraint remains a big challenge. In this study, semantic web technologies and their visualization tools were reviewed. RROVT (RDF, RDFS, OWL Visualization Tool), a tool to evaluate and represent formal description of concepts, terms and relationships of data models within a given knowledge domain as well as manage time and space complexities for publishing contents of the semantic web more efficiently is developed and proposed. Performance of RROVT was investigated on samples of semantic web documents implementing RDF, RDFS and OWL technologies. The proposed tool showed remarkable improvement over the existing tools as it aids a better comprehension of the syntax and semantics of semantic web technologies investigated in this study.

Keywords: Semantic Web, Visualization Tool, Semantic Web Technologies


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ISSN (Paper)2224-5782 ISSN (Online)2225-0506
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