Volume 7 Issue 2 • May 2012
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[Front cover]
Publication Year: 2012, Page(s): C1|
PDF (781 KB)
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2013 IEEE Symposium Series on Computational Intelligence
Publication Year: 2012, Page(s): C2|
PDF (153 KB)
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[Table of contents]
Publication Year: 2012, Page(s): 1|
PDF (252 KB)
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CIM Editorial Board
Publication Year: 2012, Page(s): 2|
PDF (499 KB)
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Empowering Semantic Web with Computational Intelligence [Editor's Remarks]
Publication Year: 2012, Page(s):2 - 10 -
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CIS Society Officers
Publication Year: 2012, Page(s): 3|
PDF (83 KB)
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Newly Elected CIS Administrative Committee Members (2012–2014) [Society Briefs]
Publication Year: 2012, Page(s):4 - 6|
PDF (363 KB)
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IEEE Fellows—Class of 2012 [Society Briefs]
Publication Year: 2012, Page(s):6 - 10|
PDF (476 KB)
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CIS Publication Spotlight [Publication Spotlight]
Publication Year: 2012, Page(s):11 - 12 -
IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG)
Publication Year: 2012, Page(s): 13|
PDF (82 KB)
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Special Issue on Semantic Web Meets Computational Intelligence [Guest Editorial]
Publication Year: 2012, Page(s):14 - 15 -
Evolutionary and Swarm Computing for the Semantic Web
Publication Year: 2012, Page(s):16 - 31
Cited by: Papers (8)The Semantic Web has become a dynamic and enormous network of typed links between data sets stored on different machines. These data sets are machine readable and unambiguously interpretable, thanks to their underlying standard representation languages. The expressiveness and flexibility of the publication model of Linked Data has led to its widespread adoption and an ever increasing publication o... View full abstract»
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Large-Scale Storage and Reasoning for Semantic Data Using Swarms
Publication Year: 2012, Page(s):32 - 44
Cited by: Papers (7)Scalable, adaptive and robust approaches to store and analyze the massive amounts of data expected from Semantic Web applications are needed to bring the Web of Data to its full potential. The solution at hand is to distribute both data and requests onto multiple computers. Apart from storage, the annotation of data with machine-processable semantics is essential for realizing the vision of the Se... View full abstract»
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Exploiting Tractable Fuzzy and Crisp Reasoning in Ontology Applications
Publication Year: 2012, Page(s):45 - 53
Cited by: Papers (10)The Semantic Web movement has led to the publication of thousands of ontologies online. These ontologies present and mediate information and knowledge on the Semantic Web. How to provide tractable reasoning services for fuzzy and crisp ontologies has been a pressing research problem over the last five years. In this paper, we present a reusable semantic infrastructure that comprises a tractable re... View full abstract»
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Reasoning with Large Scale Ontologies in Fuzzy pD* Using MapReduce
Publication Year: 2012, Page(s):54 - 66
Cited by: Papers (9)The MapReduce framework has proved to be very efficient for data-intensive tasks. Earlier work has successfully applied MapReduce for large scale RDFS/OWL reasoning. In this paper, we move a step forward by considering scalable reasoning on semantic data under fuzzy pD* semantics (i.e., an extension of OWL pD* semantics with fuzzy vagueness). To the best of our knowledge, this is the first work to... View full abstract»
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Semantic Web Meets Computational Intelligence: State of the Art and Perspectives [Review Article]
Publication Year: 2012, Page(s):67 - 74
Cited by: Papers (9) -
Practical applications of evolutionary computation to financial engineering: robust techniques for forecasting, trading, and hedging (iba, h. and aranha, c.c.; 2012)[book review]
Publication Year: 2012, Page(s):75 - 76
Cited by: Papers (1) -
[Conference Calendar]
Publication Year: 2012, Page(s):78 - 79|
PDF (644 KB)
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2012 IEEE World Congress on Computational Intelligence
Publication Year: 2012, Page(s): C3|
PDF (160 KB)
Aims & Scope
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS).