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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-19114

Spiliopoulou, M; Rinaldi, F; Black, B; Zarri, G P; Mueller, R M; Brunzel, M; Theodoulidis, B; Orphanos, G; Hess, M; Dowdall, J; McNaught, J; King, M; Persidis, A; Bernard, L (2004). Coupling information extraction and data mining for ontology learning in PARMENIDES. In: RIAO'2004, Avignon, France, April 2004 - April 2004, 156-169.

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Abstract

Strategic decision making, especially in the areas of business intelligence and competitive intelligence, requires the acquisition of decision-relevant information pieces like market trends, fusions and company values. This information is extracted by pre-processing and querying multiple sources, combining and condensing the findings. It is characteristic that the extraction process is resource intensive and has to be performed regularly and quite frequently. In the research project PARMENIDES, we are developing methods that establish ontologies over
an application domain, annotate documents with the ontology components and identify the entities in them, so that we can decompose business into conventional queries towards entities and XML-annotated texts.

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
DDC:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:April 2004
Deposited On:06 Aug 2009 14:55
Last Modified:17 Oct 2012 03:02
Citations:Google Scholarā„¢

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