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|Abstract=In this paper, we propose a systematic, reasoner-aided approach to Web ontology acquisition and refinement. It complements methods for acquiring expressive ontology axioms from textual definitions with methodic knowledge exploration techniques based on formal concept analysis. We demonstrate the practical relevance of our approach by means of a real-world example.
 
|Abstract=In this paper, we propose a systematic, reasoner-aided approach to Web ontology acquisition and refinement. It complements methods for acquiring expressive ontology axioms from textual definitions with methodic knowledge exploration techniques based on formal concept analysis. We demonstrate the practical relevance of our approach by means of a real-world example.
 
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|DOI Name=http://dx.doi.org/10.1109/WIIAT.2008.36
 
|DOI Name=http://dx.doi.org/10.1109/WIIAT.2008.36
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Version vom 15. August 2009, 19:38 Uhr


Fostering Web Intelligence by Semi-automatic OWL Ontology Refinement


Fostering Web Intelligence by Semi-automatic OWL Ontology Refinement



Published: 2008 Dezember

Buchtitel: 7th International Conference on Web Intelligence, WI 2008, Main Conference Proceedings
Seiten: 454-460
Verlag: IEEE

Referierte Veröffentlichung
Note: regular paper

BibTeX

Kurzfassung
In this paper, we propose a systematic, reasoner-aided approach to Web ontology acquisition and refinement. It complements methods for acquiring expressive ontology axioms from textual definitions with methodic knowledge exploration techniques based on formal concept analysis. We demonstrate the practical relevance of our approach by means of a real-world example.

Download: Media:2008_1826_Völker_Fostering_Web_I_1.pdf
Weitere Informationen unter: Link
DOI Link: http://dx.doi.org/10.1109/WIIAT.2008.36

Projekt

MultiplaNeOnReaSem



Forschungsgebiet

Ontology Engineering, Ontology Learning, Formale Begriffsanalyse