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Title: Research and Applications in Web Intelligence, Mining, and Semantics
Author(s): R. Akerkar, N. Bassiliades, J. Davies, V. Ermolayev.
Keywords: Web intelligence, web semantics, web mining, scalable web, data architectures, information extraction, knowledge extraction, reasoning, application, case study, evaluation, validation, methodology.
Appeared in: Proc. 4th International Conference on Web Intelligence, Mining and Semantics (WIMS’14), ACM, New York, NY, USA, DOI=10.1145/2611040.2611045, pp. Article 0, Thessaloniki, Greece, June 2-4 2014, 2014.
Abstract: The Web has an enormous influence on our everyday life. Thus, more efficient intelligent approaches and technologies are needed to realize the Web's full potential. Intelligence can be achieved by making the Web aware of the semantics of its own structures and content and by applying intelligent techniques to effectively access web resources. The Semantic Web was one of the significant steps towards bringing Intelligence to the Web. Based on this starting point, the Web Intelligence, Mining, and Semantics (WIMS) community works toward researching and implementing the next generation of the intelligent Web for humans and machines. In this editorial, opening the volume of the proceedings of WIMS'14, we review the topics of interest for the WIMS community, analyze the response of this year's authors to these topics, and present the program of the conference. We hope that this material will be useful for a reader as a key for the structure and content of these proceedings.
See also : WIMS'14