http://textminingscience.com/content/karin-verspoor
Karin Verspoor is an Associate Professor in the University of Melbourne's Department of Computing and Information Systems. She was previously a Principal Researcher at National ICT Australia's Victoria Research Lab, and served as the Scientific Director for the Health and Life Sciences Business Area within NICTA. .

Karin's background is in computational linguistics, which aims to build software that tries to "understand" the meaning conveyed by text at some level. Her research has focused primarily on the interaction of linguistic processing with world knowledge (usually represented in some sort of hierarchical, ontological structure), and the implications of this for the representation of linguistic knowledge, specifically at the lexical level

AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI   Info

Public Audience

English

120 Minutes

Saarbrücken

The biomedical literature captures the most current biomedical knowledge and is a tremendously rich resource for research. With over 24 million publications currently indexed in the US National Library of Medicine’s PubMed index, however, it is becoming increasingly challenging for biomedical researchers to keep up with this literature. Automated strategies for extracting information from it are required. Large-scale processing of the literature enables direct biomedical knowledge discovery. In this presentation, I will introduce the use of text mining techniques to support analysis of biological data sets, and will specifically discuss applications in protein function and phenotype prediction, as well as analysis of genetic variants, that are supported by analysis of the literature and integration with complementary structured resources.

Daniela Alessi

5000

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