Taking advantages of ontology and contexts to determine similarity of data

Data integration is the process of unifying data sharing some common semantics but are originated from unrelated sources. In our work we consider these sources are autonomous, heterogeneous and they are physically distributed. These three characteristics make the integration task more difficult as t...

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Detalles Bibliográficos
Autores principales: Buccella, Agustina, Cechich, Alejandra, Rodríguez Brisaboa, Nieves
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2004
Materias:
Ciencias Informáticas
Semantic Heterogeneity
Ontology
Context
Similarity
SOFTWARE ENGINEERING
base de datos
Semantics
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22293
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22293
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
Semantic Heterogeneity
Ontology
Context
Similarity
SOFTWARE ENGINEERING
base de datos
Semantics
spellingShingle Ciencias Informáticas
Semantic Heterogeneity
Ontology
Context
Similarity
SOFTWARE ENGINEERING
base de datos
Semantics
Buccella, Agustina
Cechich, Alejandra
Rodríguez Brisaboa, Nieves
Taking advantages of ontology and contexts to determine similarity of data
topic_facet Ciencias Informáticas
Semantic Heterogeneity
Ontology
Context
Similarity
SOFTWARE ENGINEERING
base de datos
Semantics
description Data integration is the process of unifying data sharing some common semantics but are originated from unrelated sources. In our work we consider these sources are autonomous, heterogeneous and they are physically distributed. These three characteristics make the integration task more difficult as there are several aspects to bear in mind. In this work we only focus on one of these aspects, the semantic heterogeneity, which deals with the meaning of the concepts within the information sources. As each source contains a specific vocabulary according to its understanding of the world, terms denoting same meaning can be very difficult to find. In this paper we will briefly explain our method to find similarities using ontologies and contexts. We will propose some improvements in the similarity functions in order to take advantages of the information the ontologies provide.
format Objeto de conferencia
Objeto de conferencia
author Buccella, Agustina
Cechich, Alejandra
Rodríguez Brisaboa, Nieves
author_facet Buccella, Agustina
Cechich, Alejandra
Rodríguez Brisaboa, Nieves
author_sort Buccella, Agustina
title Taking advantages of ontology and contexts to determine similarity of data
title_short Taking advantages of ontology and contexts to determine similarity of data
title_full Taking advantages of ontology and contexts to determine similarity of data
title_fullStr Taking advantages of ontology and contexts to determine similarity of data
title_full_unstemmed Taking advantages of ontology and contexts to determine similarity of data
title_sort taking advantages of ontology and contexts to determine similarity of data
publishDate 2004
url http://sedici.unlp.edu.ar/handle/10915/22293
work_keys_str_mv AT buccellaagustina takingadvantagesofontologyandcontextstodeterminesimilarityofdata
AT cechichalejandra takingadvantagesofontologyandcontextstodeterminesimilarityofdata
AT rodriguezbrisaboanieves takingadvantagesofontologyandcontextstodeterminesimilarityofdata
bdutipo_str Repositorios
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