Coupling Information Extraction and Data Mining for Ontolog...

Coupling Information Extraction and Data Mining for Ontology Learning in PARMENIDES

inproceedings
Myra Spiliopoulou, Fabio Rinaldi, Bill Black, Gian Piero Zarri, Roland M. Mueller, Marko Brunzel, Babis Theodoulidis, Giorgos Orphanos, Michael Hess, James Dowdall, John McNaught, Maghi King, Andreas Persidis, Luc Bernard
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 extrac- tion 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.
Coupling Information Extraction and Data Mining for Ontology Learning in PARMENIDES
2004
156-169
Avignon, France
April
RIAO'2004
cl