Aktuelle Version vom 14. April 2011, 20:16 Uhr

Semi-Automatic Revision of Formalized Knowledge

Published: 2010 August
Herausgeber: Helder Coelho and Rudi Studer and Michael Wooldridge
Buchtitel: ECAI 2010: 19th European Conference on Artificial Intelligence, Lisbon, Portugal, August 16--20, Proceedings
Ausgabe: 215
Reihe: Frontiers in Artificial Intelligence and Applications
Seiten: 1097-1098
Verlag: IOS Press
Erscheinungsort: Amsterdam
Organisation: ECAI 2010: 19th European Conference on Artificial Intelligence

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BibTeX

Kurzfassung
As the amount of available ontologies and their size grow, ontology reuse gains in importance. However, the online available formalized knowledge in many cases need a revision which can lead to a high manual effort. In this paper, we propose an approach to support the revision of ontologies. We show that our method reduces the manual effort measured in number of decisions that have to be made by an ontology engineer by up to 83%.

Download: Media:ECAI2010.pdf
Weitere Informationen unter: Link
DOI Link: 10.3233/978-1-60750-606-5-1097

Projekt

NanOn

Forschungsgruppe

Wissensmanagement

Forschungsgebiet

Ontology Engineering

@@ Zeile 1: / Zeile 1: @@
 {{Publikation Erster Autor
 |ErsterAutorNachname=Nikitina
-|ErsterAutorVorname=Nadeschda
+|ErsterAutorVorname=Nadejda
 }}
 {{Inproceedings
@@ Zeile 9: / Zeile 9: @@
 |Year=2010
 |Month=August
-|Booktitle=ECAI
+|Booktitle=ECAI 2010: 19th European Conference on Artificial Intelligence, Lisbon, Portugal, August 16--20, Proceedings
 |Pages=1097-1098
+|Organization=ECAI 2010: 19th European Conference on Artificial Intelligence
 |Publisher=IOS Press
+|Address=Amsterdam
+|Editor=Helder Coelho and Rudi Studer and Michael Wooldridge
+|Series=Frontiers in Artificial Intelligence and Applications
+|Volume=215
 }}
 {{Publikation Details
-|Abstract=Quality control is an essential task within ontology de- velopment projects especially when the knowledge formalization is partially automatized. In this paper, we propose a reasoning-based, interactive approach to support the revision of formalized knowledge and reduce the required manual effort. In the presented approach, the evaluation decisions taken by a human expert are propagated in order to automatically evaluate axioms and thereby reduce the number of axioms that have to be manually evaluated. Additionally, we propose a ranking technique to further increase the effectiveness of ontology revision and provide an evaluation in terms of effort reduction and computation time with encouraging results.
+|Abstract=As the amount of available ontologies and their size grow, ontology reuse gains in importance. However, the online available formalized knowledge in many cases need a revision which can lead to a high manual effort. In this paper, we propose an approach to support the revision of ontologies. We show that our method reduces the manual effort measured in number of decisions that have to be made by an ontology engineer by up to 83%.
-|Download=ECAI-821-270810.pdf,
+|Download=ECAI2010.pdf,
 |Link=http://dx.doi.org/10.3233/978-1-60750-606-5-1097
 |DOI Name=10.3233/978-1-60750-606-5-1097

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Aktuelle Version vom 14. April 2011, 20:16 Uhr

Semi-Automatic Revision of Formalized Knowledge

Semi-Automatic Revision of Formalized Knowledge