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Research and Applications in Web Intelligence, Mining, and Semantics

Published: 02 June 2014 Publication History

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.

References

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R. Akerkar and P. Lingras. Building an Intelligent Web: Theory & Practice. Jones and Bartlett, Sudbury, MA, 2008.
[2]
R. Akerkar. Big Data Computing. Taylor & Francis, 2013.
[3]
N. Bassiliades. Agents and Knowledge Interoperability in the Semantic Web Era. In WIMS'12 Conference Proceedings, pages 46--58. ACM, Craiova, Romania, June 2012.
[4]
T. Berners-Lee, J. Hendler and O. Lassila. The Semantic Web. Scientific American 284(5):34--43, May 2001.
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J. Davies, D. Fensel and F. van Harmelen. Towards the Semantic Web. Wiley, UK, 2000.
[6]
K. Frantzi, S. Ananiadou and H. Mima. Automatic Recognition of Multi-Word Terms. Int. J. of Digital Libraries, 3(2):117--132, 2000.
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S. Tatarintseva, V. Ermolayev, B. Keller and W.-E. Matzke. Quantifying Ontology Fitness in OntoElect Using Saturation and Vote-Based Metrics. In V. Ermolayev et al. (Eds.) Information and Communication technologies in Education, Research, and Industrial Applications. Revised Selected Papers of ICTERI 2013, pages 136--162, CCIS Vol. 412, Springer-Verlag, Berlin-Heidelberg, 2013.

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Published In

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WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
June 2014
506 pages
ISBN:9781450325387
DOI:10.1145/2611040
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Aristotle University of Thessaloniki

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2014

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Author Tags

  1. Web intelligence
  2. application
  3. case study
  4. data architectures
  5. evaluation
  6. information extraction
  7. knowledge extraction
  8. methodology
  9. reasoning
  10. scalable web
  11. validation
  12. web mining
  13. web semantics

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  • Research-article
  • Research
  • Refereed limited

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WIMS '14

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;
Overall Acceptance Rate 140 of 278 submissions, 50%

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