Talks & Seminars
Web (2.0) Mining: Analyzing the Information Ecology of Social Media
Anupam Joshi, Univ Maryland Baltimore County , Univ Maryland Baltimore County
Date & Time: January 18, 2008 12:00
Venue: KReSIT conference room, 1st Floor
Social media systems such as blogs, photo and link sharing sites, wikis and on-line forums are estimated to produce up to one third of new Web content. One thing that sets these "Web 2.0" sites apart from traditional Web pages and resources is that they are intertwined with other forms of networked data. Their standard hyperlinks are enriched by social networks, comments,trackbacks, advertisements, tags, RDF data and metadata. We describe recent work on building systems that analyse these emerging social media systems to recognize spam blogs, find opinions on topics, identify communities of interest, derive trust relationships, and detect influential bloggers.
Speaker Profile:
Anupam Joshi is a Professor of Computer Science and Electrical Engineering at UMBC. Earlier, he was an Assistant Professor in the CECS department at the University of Missouri, Columbia. He obtained a B. Tech degree in Electrical Engineering from IIT Delhi in 1989, and a Masters and Ph.D. in Computer Science from Purdue University in 1991 and 1993 respectively. His research interests are in the broad area of networked computing and intelligent systems. His primary focus has been on data management and security for mobile, pervasive, and sensor systems. He is also interested in Semantic Web, Social Media, and Data/Web Mining. He has published over 150 technical papers, and has obtained research support from NSF, NASA, DARPA, DoD, IBM, LMCO, AetherSystens, HP, AT&T and Intel. He has presented tutorials in conferences, served as guest editor for special issues for VLDB J., Comm. ACM etc., and served as an Associate Editor of IEEE Transactions of Fuzzy Systems from 99-03. He currently serves on the editorial board of the Intl. J. Semantic Web and Information Systems. At UMBC, Joshi teaches courses in Operating Systems,Mobile Computing, Networking, Security, and Web Mining. He is a member of IEEE, IEEE-CS, and ACM.
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