17. IJCAI 2001, Workshop on Ontology Learning: Seattle, Washington, USA

Alexander Maedche, Steffen Staab, Claire Nedellec, Eduard H. Hovy (Eds.): IJCAI'2001 Workshop on Ontology Learning, Proceedings of the Second Workshop on Ontology Learning OL'2001, Seattle, USA, August 4, 2001 (Held in conjunction with the 17th International Conference on Artificial Intelligence IJCAI'2001). CEUR Workshop Proceedings 38 CEUR-WS.org 2001

Full Papers

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  - conf/ijcai/PernelleRV01
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Nathalie Pernelle, Marie-Christine Rousset, Véronique Ventos: Automatic Construction and Refinement of a Class Hierarchy over Semi-Structured Data.
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  - conf/ijcai/DelteilFD01
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Alexandre Delteil, Catherine Faron-Zucker, Rose Dieng: Learning Ontologies from RDF annotations.
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  - conf/ijcai/Yamaguchi01
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Takahira Yamaguchi: Acquiring Conceptual Relationships from Domain-Specific Texts.
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  - conf/ijcai/HeyerLQWW01
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Gerhard Heyer, Martin Läuter, Uwe Quasthoff, Thomas Wittig, Christian Wolff: Learning Relations Using Collocations.
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  - conf/ijcai/IchiseTH01
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Ryutaro Ichise, Hideaki Takeda, Shinichi Honiden: Rule Induction for Concept Hierarchy Alignment.

Short/Position Papers

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Christopher Brewster, Fabio Ciravegna, Yorick Wilks: Knowledge Acquisition for Knowledge Management.
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  - conf/ijcai/SintekJEA01
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Michael Sintek, Markus Junker, Ludger van Elst, Andreas Abecker: Using Information Extraction Rules for Extending Domain Ontologies.
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  - conf/ijcai/Vargas-VeraDKMB01
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Maria Vargas-Vera, John Domingue, Yannis Kalfoglou, Enrico Motta, Simon Buckingham Shum: Template Driven Information Extraction for Populating Ontologies.
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  - conf/ijcai/Malyankar01
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Raphael M. Malyankar: Acquisition of Ontological Knowledge from Canonical Documents.
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  - conf/ijcai/TermierSR01
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Alexandre Termier, Michèle Sebag, Marie-Christine Rousset: Combining Statistics and Semantics for Word and Document Clustering.
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  - conf/ijcai/Minock01
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Michael Minock: Constructing and Refining Ontologies within Explanation-Capable Agents.
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  - conf/ijcai/KohM01
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Waikit Koh, Lik Mui: An Information Theoretic Approach for Ontology-based Interest Matching.