Semantic Computing for Software Agents

Date

April 13, 2011

Speaker

Evelyne Viegas, Zoubin Ghahramani, and Steffen Staab

Affiliation

MSR, University of Cambridge, University of Koblenz

Overview

Semantic Computing combines disciplines such as computational linguistics, artificial intelligence, multimedia, database and services computing together into an integrated theme while addressing their synergetic interactions. In this session presentations will show how semantic technologies coupled with machine learning approaches can address the meaning of large scale heterogeneous data and how they can help improve design for software engineering and develop intelligent software agents.

In particular, the presentations will address challenge of correctly disambiguate entities and relationships in the merging process in order to be able to compose large knowledge bases with high coverage. Due to the high degree of uncertainty in the merging process it appears promising to use an approach based on probability, in particular, graphical models.

Speakers

Evelyne Viegas, Zoubin Ghahramani, and Steffen Staab

Evelyne Viegas, is responsible for the Online Technologies and Web Cultures initiative in the External Research & Programs team at Microsoft Research in Redmond WA, U.S. Prior to her present role, Evelyne has been working as a Technical Lead, and Program Manager at Microsoft delivering Natural Language Processing components to projects for MSN, Office, and Windows. Before Microsoft, and after completing her Ph.D. in France, she worked as a Principal Investigator at the Computing Research Laboratory in New Mexico on an ontology-based Machine Translation project. She has edited the following books: “Computational Lexical Semantics” Cambridge University Press and “Breadth and Depth of Semantic Lexicons” Kluwer Academic Press. Her current research interests include approaches and experiences to make the web more “intelligent” and safer with a focus on finding information, sitting at the desktop or while on the move.

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