Semantic document indexing in ontology-driven organizational memories

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component in Knowledge Management, Semantic...

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Detalles Bibliográficos
Autores principales:	Ale, María Alejandra, Galli, María Rosa, Chiotti, Omar Juan Alfredo
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2005
Materias:	Ciencias Informáticas Information Search and Retrieval gestión de conocimientos Semantics domain ontology organizational memory
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23100
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-23100
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Information Search and Retrieval gestión de conocimientos Semantics domain ontology organizational memory
spellingShingle	Ciencias Informáticas Information Search and Retrieval gestión de conocimientos Semantics domain ontology organizational memory Ale, María Alejandra Galli, María Rosa Chiotti, Omar Juan Alfredo Semantic document indexing in ontology-driven organizational memories
topic_facet	Ciencias Informáticas Information Search and Retrieval gestión de conocimientos Semantics domain ontology organizational memory
description	Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component in Knowledge Management, Semantic Web, and Business-to-Business applications. We have found that it is not easy to represent certain types of knowledge (skills or procedures) or to transform certain types of knowledge representation (knowledge contained in diagrams) into an appropriate ontological format. To overcome this problem, our proposal is to connect knowledge sources to the domain ontology associated with an Organizational Memory without forcing any transformation in the structure of the source itself. This connection will allow the semantic classification of knowledge sources so that when a user performs a query it is possible to recover the documents that have a higher probability of containing the answer.
format	Objeto de conferencia Objeto de conferencia
author	Ale, María Alejandra Galli, María Rosa Chiotti, Omar Juan Alfredo
author_facet	Ale, María Alejandra Galli, María Rosa Chiotti, Omar Juan Alfredo
author_sort	Ale, María Alejandra
title	Semantic document indexing in ontology-driven organizational memories
title_short	Semantic document indexing in ontology-driven organizational memories
title_full	Semantic document indexing in ontology-driven organizational memories
title_fullStr	Semantic document indexing in ontology-driven organizational memories
title_full_unstemmed	Semantic document indexing in ontology-driven organizational memories
title_sort	semantic document indexing in ontology-driven organizational memories
publishDate	2005
url	http://sedici.unlp.edu.ar/handle/10915/23100
work_keys_str_mv	AT alemariaalejandra semanticdocumentindexinginontologydrivenorganizationalmemories AT gallimariarosa semanticdocumentindexinginontologydrivenorganizationalmemories AT chiottiomarjuanalfredo semanticdocumentindexinginontologydrivenorganizationalmemories
bdutipo_str	Repositorios
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Semantic document indexing in ontology-driven organizational memories

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