Web Intelligence: A Fuzzy Knowledge-Based Framework for the Enhancement of Querying and Accessing Web Data

Web Intelligence: A Fuzzy Knowledge-Based Framework for the Enhancement of Querying and Accessing Web Data

Jafreezal Jaafar, Kamaluddeen Usman Danyaro, M. S. Liew
Copyright: © 2016 |Pages: 23
DOI: 10.4018/978-1-4666-9840-6.ch033
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Abstract

This chapter discusses about the veracity of data. The veracity issue is the challenge of imprecision in big data due to influx of data from diverse sources. To overcome this problem, this chapter proposes a fuzzy knowledge-based framework that will enhance the accessibility of Web data and solve the inconsistency in data model. D2RQ, protégé, and fuzzy Web Ontology Language applications were used for configuration and performance. The chapter also provides the completeness fuzzy knowledge-based algorithm, which was used to determine the robustness and adaptability of the knowledge base. The result shows that the D2RQ is more scalable with respect to performance comparison. Finally, the conclusion and future lines of the research were provided.
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Web Intelligence

Web information has great impact in human life especially in the domain of world knowledge such as uncertainty and imprecision. The Web intelligence constitutes the usage of WWW as a phenomenon of retrieving information from the storage efficiently. It acts as an agent in which the machine can reason and conveys the message using Web tools. The agent goes round and integrates the resource which finally presents the information to user through a Web page. The resources or things depend on RDF that links the entire concept together through Uniform Resource Identifier (URI). Web intelligence is a well-known research area which converges subjects such as artificial intelligence, databases, Web science, Semantic Web, and information retrieval (Berners-Lee et al., 2006; Camacho et al., 2013; Shadbolt & Berners-Lee, 2008; Shroff, 2013; Williams et al., 2014). Therefore, reasoning in Web data is the first step in finding the solution of a problem in the knowledge-based system.

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