Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00040314" target="_blank" >RIV/00216224:14330/07:00040314 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition
Original language description
The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning)footnote{The project's web page can be found at URL: url{http://nlp.fi.muni.cz/projects/ole/}.} -- a project aimed at bottom-up generation and merging of ontologies. It utilises a proposal of expressive fuzzy knowledge representation framework called {sf ANUIC} (Adaptive Net of Universally Interrelated Concepts). We discuss our recent achievements in taxonomy acquisition and show how even simple application of the principles of {sf ANUIC} canimprove the results of initial knowledge extraction methods.
Czech name
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Czech description
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Project
<a href="/en/project/1ET100300419" target="_blank" >1ET100300419: Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of ICEIS 2007, vol. Artificial Intelligence and Decision Support Systems
ISBN
978-972-8865-89-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
INSTICC
Place of publication
Portugal
Event location
Funchal, Madeira, Portugal
Event date
Jan 1, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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