Workshop Description:

Recent work on link mining and social networks has led to a convergence of methodologies for network modeling, incorporating classification, learning and reasoning with graphical models, frequent subgraph mining, relational representation, and link prediction, among other techniques. Many intelligent systems applications to information extraction, web search, and recommendation call for inferences to be made regarding the existence, type, or attributes of links. Some tasks, such as question answering using information networks, may require that inferences be based upon partial link information and made under uncertainty about participating entities and relationships. The emphasis of this workshop shall be approaches based on relationship extraction from heterogeneous sources such as technical literature, news articles, social network profile data, and social media.
Relevant media include, but are not limited to, forums, blogs, microblogging mechanisms such as Twitter and status updates, podcasts, video, and systems for rating and commenting. However, the scope is not limited to any particular approach to link analysis or any source of network information such as text corpora. Application areas that often exhibit a need for link analysis include:

• Bioinformatics and biomedicine: computational genomics, drug interaction, protein-protein interaction
• Content-management systems: version control, wikification
• Information security:attack graphs, information flow, mechanism design, trust networks
• Knowledge and information management: data fusion, information integration, source attribution
• Recommender systems for social networks:communities, experts, friends, products, reviewers, service providers
• Spatiotemporal reasoning:epidemiology, link formation, meme propagation

Workshop Audience:

This workshop shall help to bring together people from these different areas and present an opportunity for researchers and practitioners to share new techniques for identifying and analyzing relationships in networks that integrate multiple types or sources of information.

Topics for this workshop include, but are not limited to:

• Cyber-physical systems, sensor networks, and event detection
• Data integration and intelligent search
• Frequent pattern mining in graph and sequence data
• Information extraction, text analytics, and topic detection/tracking
• Online auctions and advertising
• Opinion mining and sentiment analysis
• Social networks, social media, and the semantic web
• Statistical relational learning
• Trust networks and information sharing

Call For Papers:

We encourage submissions containing original theoretical and applied concepts in Heterogenous Information Networks. Experimental results are also encouraged, especially on fielded applications, even if they are only preliminary.

We therefore invite two categories of paper submissions:

• Research papers - 6-8 pages long
• Short summaries and Extended abstracts (including position papers) - 2-3 pages long

Papers should follow the standard IJCAI format.

For the workshop agenda, submission procedure, and up-to-date information on the review committee and invited speakers, please visit the workshop web site:

http://www.kddresearch.org/KDD/Workshops/IJCAI-2011-HINA/IJCAI-2011-HINA.htm

http://www.kddresearch.org/KDD/Workshops/IJCAI-2011-HINA/CFP.pdf

Important Dates:

Full Papers due: April 18th 2011
Short Papers due: April 18th 2011
Acceptance notification: May 1st 2011
Camera-ready copy due: May 16th 2011
Workshop: July 16th 2011

Organizing Committee:

• William H. Hsu (primary contact), Kansas State University
• Surya Teja Kallumadi, Kansas State University
• Jiawei Han, University of Illinois at Urbana-Champaign

Programming Committee:

• Amr Ahmed, Carnegie Mellon University (USA)
• Tao Cheng, Microsoft Research (USA)
• Fabio G. Cozman, University of Sao Paolo (Brazil)
• Luc De Raedt Katholieke, Universiteit Leuven (Belgium)
• Christopher Diehl, Lawrence Livermore National Laboratory(USA)
• Tina Eliassi-Rad, Rutgers University (USA)
• Wesam Samy Elshamy, Kansas State University (USA)
• Lise Getoor, University of Maryland (USA)
• Kristian Kersting, University of Bonn (Germany)
• Huan Liu, Arizona State University (USA)
• Hiroshi Motoda, AFOSR / AOARD & Osaka University (Japan)
• Nicolas Nicolov, JDPA (USA)
• Scott Sanner, NICTA(Australia)
• Yizhou Sun, University of Illinois at Urbana-Champaign (USA)
• Tim Weninger, University of Illinois at Urbana-Champaign (USA)

Contact address:

bhsu -at- ksu dot edu
surya -at- ksu dot edu