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Contribution Details
Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | No |
Title | Coupling Information Extraction and Data Mining for Ontology Learning in PARMENIDES |
Authors |
|
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Page Range | 156 - 169 |
Event Title | RIAO'2004 |
Place of Publication | Avignon, France |
Abstract Text | 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. |
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