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Special Issue on Mining Associations and Patterns from the Semantic Data

From: kemafor <kogan@ncsu.edu>
Date: Wed, 4 Jan 2012 11:19:55 -0800 (PST)
Message-ID: <33081459.post@talk.nabble.com>
To: semantic-web@w3.org
Large amounts of Semantic Data is being generated through semantic 
extractions from and annotation of traditional Web, social and sensor 
data. Linked Open Data has provided excellent vehicle for representation 
and sharing of such data. Primary vehicle to get semantics useful for 
better integration, search and decision making is to find interesting 
relationships or associations, expressed as meaningful paths, subgraphs 
and patterns. This special issue seeks theories, algorithms and 
applications of extracting such semantic relationships from large amount 
of semantic data. Example topics include:

    * Theories to ground associations and patterns with social, 
socioeconomic, biological semantics
    * Representation (e.g. language extensions) to express meaningful 
relationships and patterns
    * Algorithms to efficiently compute and mine semantic associations 
and patterns
    * Techniques for filtering, ranking and/or visualization of 
semantic associations and patterns
    * Application of semantic associations and patterns in a domain 
with significant social or society impact

IJSWIS is included in most major indices including CSI, with Thomson 
Scientific impact factor 2.345. We seek high quality manuscripts 
suitable for an archival journal based on original research. If the 
manuscript is based on a prior workshop or conference submission, 
submissions should reflect significant novel contribution/extension in 
conceptual terms and/or scale of implementation and evaluation (authors 
are highly encouraged to clarify new contributions in a cover letter or 
within the submission).

Important Dates:
Submission of full papers: Feb 29, 2012
Notification of paper acceptance: May 30, 2012
Publication target: 3Q 2012

Details of the journal, manuscript preparation, and recent articles are 
available on the website:
http://www.igi-global.com/bookstore/titledetails.aspx?titleid=1092 or 
http://ijswis.org

Guest Editors: Prof. Kemafor Anyanwu, North Carolina State University
Prof. Ying Ding, Indiana University
Prof. Jie Tang, Tsinghua University
Prof. Philip Yu, University of Illinois, Chicago
Contact Guest Editor: Ying Ding <dingying@indiana.edu>


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