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» Using multiple ontologies in information extraction
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JMLR
2010
95views more  JMLR 2010»
14 years 4 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
ALMOB
2007
111views more  ALMOB 2007»
14 years 9 months ago
Transcriptional regulatory network discovery via multiple method integration: application to e. coli K12
Motivation: Transcriptional regulatory network (TRN) discovery from one method (e.g. microarray analysis, gene ontology, phylogenic similarity) does not seem feasible due to lack ...
Jingjun Sun, Kagan Tuncay, Alaa Abi Haidar, Lisa E...
ECAI
2000
Springer
15 years 2 months ago
An Ontology Enrichment Method for a Pragmatic Information Extraction System gathering Data on Genetic Interactions
We present in this paper a method to insert new concepts in an existing information extraction system based on a conceptual graph architecture. We use verb patterns as conceptual s...
Claude Roux, Denys Proux, François Rechenma...
KI
2006
Springer
14 years 9 months ago
Relation Instantiation for Ontology Population Using the Web
The Semantic Web requires automatic ontology population methods. We developed an approach, that given existing ontologies, extracts instances of ontology relations, a specific subt...
Viktor de Boer, Maarten van Someren, Bob J. Wielin...
SEMWEB
2010
Springer
14 years 7 months ago
Exploiting Relation Extraction for Ontology Alignment
When multiple ontologies are used within one application system, aligning the ontologies is a prerequisite for interoperability and unhampered semantic navigation and search. Vario...
Elena Beisswanger