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Building a Semantic Virtual Museum: from Wiki to Semantic Wiki using Named Entity Recognition

Alain Plantec 1 Vincent Ribaud 1
1 Lab-STICC_UBO_CACS_MOCS
UBO - Université de Brest, Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, we describe an approach for creating semantic wiki pages from regular wiki pages, in the domain of scientific museums, using information extraction methods in general and named entity recognition in particular. We make use of a domain specific ontology called CIDOC-CRM as a base structure for representing and processing knowledge. We have described major components of the proposed approach and a three-step process involving name entity recognition, identifying domain classes using the ontology and establishing the properties for the entities in order to generate semantic wiki pages. Our initial evaluation of the prototype shows promising results in terms of enhanced efficiency and time and cost benefits.
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https://hal.univ-brest.fr/hal-00504321
Contributor : Alain Plantec <>
Submitted on : Tuesday, July 20, 2010 - 12:02:18 PM
Last modification on : Friday, August 7, 2020 - 3:56:05 PM
Long-term archiving on: : Friday, October 22, 2010 - 4:08:54 PM

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  • HAL Id : hal-00504321, version 1

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Alain Plantec, Vincent Ribaud. Building a Semantic Virtual Museum: from Wiki to Semantic Wiki using Named Entity Recognition. OOPSLA 2009, Oct 2009, United States. pp.769-770. ⟨hal-00504321⟩

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