A model for concepts extraction and context identification in knowledge based systems

Information Retrieval Systems normally deal with keywordbased technologies. Although those systems reach satisfactory results, they aren’t able to answer more complex queries done by users, especially those directly in natural language. To do that, there are the KnowledgeBased Systems, which use ont...

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Detalles Bibliográficos
Autores principales: Bortolon, Andre, Hoeschl, Hugo Cesar, Bueno, Tânia C. D., Coelho, Christianne C. S. R.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Inteligencia Artificial
Information Search and Retrieval
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24209
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-24209
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
Inteligencia Artificial
Information Search and Retrieval
spellingShingle Ciencias Informáticas
Inteligencia Artificial
Information Search and Retrieval
Bortolon, Andre
Hoeschl, Hugo Cesar
Bueno, Tânia C. D.
Coelho, Christianne C. S. R.
A model for concepts extraction and context identification in knowledge based systems
topic_facet Ciencias Informáticas
Inteligencia Artificial
Information Search and Retrieval
description Information Retrieval Systems normally deal with keywordbased technologies. Although those systems reach satisfactory results, they aren’t able to answer more complex queries done by users, especially those directly in natural language. To do that, there are the KnowledgeBased Systems, which use ontologies to represent the knowledge embedded in texts. Currently, the construction of ontologies is based on the participation of three components: the knowledge engineer, the domain specialist, and the system analyst. This work demands time due to the various studies that should be made do determine which elements must participate of the knowledge base and how these elements are interrelated. In this way, using computational systems that, at least, accelerate this work is fundamental to create systems to the market. A model, that allows a computer directly represents the knowledge, just needing a minimal human intervention, or even no one, enlarges the range of domains a system can maintain, becoming it more efficient and userfriendly.
format Objeto de conferencia
Objeto de conferencia
author Bortolon, Andre
Hoeschl, Hugo Cesar
Bueno, Tânia C. D.
Coelho, Christianne C. S. R.
author_facet Bortolon, Andre
Hoeschl, Hugo Cesar
Bueno, Tânia C. D.
Coelho, Christianne C. S. R.
author_sort Bortolon, Andre
title A model for concepts extraction and context identification in knowledge based systems
title_short A model for concepts extraction and context identification in knowledge based systems
title_full A model for concepts extraction and context identification in knowledge based systems
title_fullStr A model for concepts extraction and context identification in knowledge based systems
title_full_unstemmed A model for concepts extraction and context identification in knowledge based systems
title_sort model for concepts extraction and context identification in knowledge based systems
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/24209
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