Special Issue on Mining Associations and Patterns from the Semantic Data
Guest editors: Kemafor Anyanwu, Ying Ding, Jie Tang, and Philip Yu
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 <dingy...@indiana.edu>
