Speaker Evelyne Viegas, Zoubin Ghahramani, and Steffen Staab
Affiliation MSR, University of Cambridge, University of Koblenz
Host Judith Bishop
Date recorded 13 April 2011
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.
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