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What and Who

ParSemKB: Integrating Text mining results using extended OWL-DL

Tianxiang Lu
Fachrichtung Informatik - Saarbrücken
PhD Application Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Tuesday, 17 February 2009
09:00
240 Minutes
E1 4
024
Saarbrücken

Abstract

Coming up with new technologies on the Internet, Semantic Web has

brought new improvement space with new challenges to knowledgebased
systems. In the application domain of Natural Language
Processing, in particular text mining and information extraction,
several analysis modules with different focus have been developed,
which can offer sentence-based analysis results. Our approach
established a knowledge-based System architecture to integrate the
results. We selected proper language model for knowledge
representation, namely OWL-DL, and we extended it with DL-Safe
rules (SWRL) and other engineering tuning techniques by facing some
difficulties on reification", negative information and uncertainty. The
system is evaluated by several demonstrating test examples. We have
chosen the best practice setting of tools, which provide us with a usecase
of efficient answering of conjunctional query.

Contact

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Jennifer Gerling, 02/09/2009 22:59 -- Created document.