An Exploratory Study of RDF: A Data Model for Cloud Computing
Semantic web is an extension of the web which focuses on the meaning of data content rather than the structure of the data content. It promotes many standards by the world wide web consortium (W3C). RDF is a data interchange standard widely used by semant
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Abstract Semantic web is an extension of the web which focuses on the meaning of data content rather than the structure of the data content. It promotes many standards by the world wide web consortium (W3C). RDF is a data interchange standard widely used by semantic web community. Cloud computing is a computing paradigm which involves outsourcing of computing resources with the capabilities of resource scalability, on demand provisioning with little or no up-front IT infrastructure investment costs. Resource Description framework is a semantic data model for cloud computing. This paper analyze RDF in terms of its present status, comparison between RDF and traditional data models, its usage in semantic web data management, overview of semantic web rule languages and finally its limitations in representing concepts are examined. Keywords Semantic web
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Cloud computing
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RDF
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Data model
1 Introduction Semantic web hush-up the vision of web enriched by annotations which allows both software and humans to use the content by making the web to some degree machine comprehensible. One of the key technologies used is resource description framework. It is a basis for dealing out XML based metadata which provides interopA.C. Kanmani (✉) ⋅ T. Chockalingam Department of Computer Science and Engineering, Visvesvaraya Technological University, Research Resource Center, Belagavi 590018, India e-mail: [email protected] T. Chockalingam e-mail: [email protected] N. Guruprasad Department of Computer Science and Engineering, New Horizon College of Engineering, Bengaluru 560103, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 S.C. Satapathy et al. (eds.), Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, Advances in Intelligent Systems and Computing 516, DOI 10.1007/978-981-10-3156-4_68
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erability between applications that exchange machine understandable information on the web. Semantic Web technologies has wide range of applications in data integration, resource discovery and classification, which provides a chance to integrate the data in different locations and to perform an efficient search. It further can be used in cataloging, which describes the content and content relationships, available at a particular web site and knowledge sharing and exchange.
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Architecture of the Semantic Web Stack
The semantic web stack [1], encompasses three layers, as depicted in Fig. 1. Lower layers includes IRI, Internationalized Resource Identifier (IRI), which, identifies semantic web resources and Unicode serves to represent and manipulate text in many languages. XML is a markup language that makes possible creating documents consisting of structured data. Middle layers includes RDF, a graph data model which represents web resources as subject, object and predicate, together known as triples. RDF vocabulary is well described in RDFS. Advanced constructs to express RDF statements are available in web ontolo
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