September 1, 2011: Computer Science Colloquium - Matteo Palmonari: "From Jeopardy! to Real-World Applications: Linking Open Data for Current Information Needs"

Computer Science Colloquium

From Jeopardy! to Real-World Applications: Linking Open Data for Current Information Needs

Matteo Palmonari
University of Milan-Bicocca
Tuesday, September 6, 2011
02:00 PM, 1000 SEO Building


IBM Watson?s participation in Jeopardy! showed the power (and highlighted some of the challenges) of integrating large heterogeneous datasets for query answering. A similar setting is now being considered by companies, governments and research institutions, which have an increasing need to better exploit the huge and noisy amount of information currently available on the Web effectively and efficiently. In order to meet such information demand, different techniques for extracting, representing, and reasoning about information available on the Web need to be combined into sophisticated applications. In this scenario, a key role is played by Linked Open Data (LOD) ? Web data sources that can become integrated based on their semantic annotations ? so as to constitute a large valuable knowledge base. However, integration at this large scale (both of the schemas and of the instances) requires novel matching techniques. The talk will explain the role played by LOD in the above described scenario and will present research work developed at UIC for the effective and efficient matching of LOD schemas.


Matteo Palmonari?received his PhD from the University of Milan-Bicocca. Since March 2011, he is an Assistant Professor in the Department of Computer Science, Systems and Communication (DISCo) at the University of Milan-Bicocca, where he works with the SeQuoIAS research group led by Professor Carlo Batini. His main research interests include the representation and matching of ontologies and web services. He was a visiting postdoc in the ADVIS Research Lab in 2010-2011.

Host: Professor Isabel Cruz

Copyright 2016 The Board of Trustees
of the University of
Helping Women Faculty Advance
Funded by NSF