Building a semantic virtual museum: From wiki to semantic wiki using named entity recognition
|Building a semantic virtual museum: From wiki to semantic wiki using named entity recognition|
|Author(s)||Plantec A., Ribaud V., Varma V.|
|Published in||Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA|
|Keyword(s)||Information extraction, Ontology, Semantic wiki (Extra: Base structure, Cost benefits, Domain-specific ontologies, Enhanced efficiency, Information Extraction, Information extraction methods, Name entity recognition, Named entity recognition, Three-step process, Virtual museum, Computer systems programming, Information analysis, Linguistics, Museums, Ontology, Semantics, Object oriented programming)|
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Building a semantic virtual museum: From wiki to semantic wiki using named entity recognition is a 2009 conference paper written in English by Plantec A., Ribaud V., Varma V. and published in Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA.
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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