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MDS 2013 : Mining Data Semantics in Information Networks

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Link: http://arnetminer.org/MDS2013
 
When Aug 11, 2013 - Aug 14, 2013
Where Chicago, USA
Submission Deadline May 20, 2013
Categories    data mining
 

Call For Papers

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Mining Data Semantics in Information Networks (MDS'2013) Workshop
in conjunction with SIGKDD2013 (http://www.sigkdd.org/kdd2013/)
http://arnetminer.org/MDS2013
August 11-14, 2013, Chicago, USA.
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Keynote Speaker (confirmed): Prof. Yang Qiang, Head of Huawei Noah's Ark Research Lab and Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology.

Now we are living in the big data era and facing big data challenges. Large and complex data are generated almost everywhere and grow exponentially. It is becoming difficult to handle them by simply utilizing traditional data management and data discovery techniques. The workshop aims to discuss key issues and practices of mining semantics in large scale heterogeneous information networks. Mining semantics from heterogeneous networks can address several important issues, including (1) knowledge graph: how to efficiently and effectively extract entities from unstructured data, how to connect data by identifying hidden relationships between data, and how to from the giant knowledge graph to facilitate better search and provide high quality Q&A service; (2) semantic network behavior: how users' personalized behaviors can be discovered from heterogeneous networks, how users are connected via different types of social relationships, and what are the fundamental structures underlying the networks; (3) search big graph: what are innovative ways to search heterogeneous graph, how to handle the heterogeneity on edges and nodes of such graph, and how to make graph search efficient. The workshop will provide a forum for researchers and practitioners from all over the world to share information on their latest investigations. The broader context of the workshop can be related in some respects to the areas of Web Mining, Social Networks Analysis, Semantic Web, Information Retrieval, and Natural Language Processing.

Topics of interest include but are not limited to:
knowledge graph construction;
Semantic integration on entities;
Entity extraction and entity relationship recognition;
Semantic search over heterogeneous networks;
Question answer system based on knowledge graphs;
Clustering (including bi-clustering) and ranking methods for heterogeneous networks;
Pattern-analysis methods (e.g., discriminative frequent pattern analysis);
Novel network analysis algorithms;
New information network analysis or link mining methods;
Mining with domain knowledge;
Algorithms for semantic graph mining and light-weight reasoning;
Personalized knowledge graph;
Domain specific mining (e.g., Life Science and Health Care);
Multi-scale semantic visualization;
Semantic-based social network analysis and collective intelligence mining;
Classification and prediction in social and information networks;
Evolution and information diffusion in social and information networks;
Anomaly detection and outlier analysis in social and information networks;
Multidimensional (OLAP) analysis in social and information networks;
Similarity search and intelligent query answering in social and information networks;
link / relationship prediction and recommendation.

Important Dates

* Submission deadline: May 20th, 2013
* Notification of acceptance: June 10th, 2013
* Final papers due: June 15th, 2013

All papers submitted should have a maximum length of 8 pages and must be prepared using the ACM camera-ready templatehttp://www.acm.org/sigs/pubs/proceed/template.html. Authors are required to submit their papers electronically in PDF format. The submission website is be open soon.

Workshop Chairs:
Ying Ding, Indiana University, USA
Jiawei Han, University of Illinois at Urbana-Champaign, USA
Yizhou Sun, Northeastern University, USA
Jie Tang, Tsinghua University, China
Philip Yu, University of Illinouis Chicago, USA

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