MDS 2013 - MDS 2013 : Mining Data Semantics in Information Networks

This presentation will discuss key issues and practices of mining semantics in heterogeneous information networks. Social, information and biological systems usually consist of a large number of interacting, multi-typed components connected via various types of links, which makes heterogeneous networks ubiquitous. Mining semantics from the heterogeneous networks can address several important questions regarding data integration, data analytics and knowledge discovery. Three use cases and their related tools utilizing the developed algorithms to solve real-life problems will be demonstrated: " Research profiling networks: Evaluating research impact becomes major milestones for tenure promotion, funding allocation, and strategic planning. It is critically important to facilitate research collaboration in order to trigger innovation and transformative thinking. VIVO as a Research profiling network applies Semantic Web technologies to enable better scholarly communication and collaboration. " Patent mining network: Patents are quite different from academic papers with complexity on levels of claims, unique language style, patent citations, and patent categorization. Content analysis of patents becomes critic. we will demo patent miner platform called PMiner (www.pminer.org) which displays in-depth mining at the content level of patents. " Chem2Bio2RDF: Biomedical and healthcare domains, especially drug discovery, face great challenges to integrate and mine hidden associations in large amount of open datasets and PubMed literature. Chem2Bio2RDF integrates more than 20 different datasets based on existing ontologies and applies data mining algorithms to identify and predicate association between different biological entities.
Dr. Ying Ding is an Associate Professor at the School of Library and Information Science, Indianan University. Before she worked as a senior researcher at the University of Innsbruck, Austria and as a researcher at the Free University of Amsterdam, the Netherlands. She has been involved in various NIH and European-Union funded Semantic Web projects. She has published 150+ papers in journals, conferences and workshops. She serves as a Program Committee member for 120+ international conferences and workshops. She is the coeditor of book series called Semantic Web Synthesis by Morgan & Claypool publisher. She is co-author of the book "Intelligent Information Integration in B2B Electronic Commerce" published by Kluwer Academic Publishers. She is also co-author of book chapters in the book "Spinning the Semantic Web" published by MIT Press and "Towards the Semantic Web: Ontology-driven Knowledge Management" published by Wiley. She is the editoral board member of four ISI indexed top journal
Dr. Jie Tang is an associate professor at the Department of Computer Science and Technology, Tsinghua University. He serves as the director of Scientific Office of the Department of Computer Science. His main research interests include social network analysis and data mining. He has been a visiting scholar at Cornell University, Chinese University of Hong Kong, Hong Kong University of Science and Technology, and Leuven University. He has published over 100 research papers in major international journals and conferences including: KDD, IJCAI, WWW, SIGMOD, ACL, Machine Learning Journal, TKDD, and TKDE. He serves as Local Chair of SIGKDD’12, Publications Co-Chairs of SIGKDD’11, Program Chair of ADMA’11, Program Chair of SocInfo’12, and also serves as the PC member of more than 50 international conferences.