50 research outputs found
Semantic Web Technologies: trends and research in ontology-based systems
...USA, Willey; 2006 ISBN: 978-047002596
Semantic web technologies: trends and research in ontology-based systems
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Previous issue date: 2009Pontifícia Universidade Católica do Rio de Janeiro. Departamento de Informática. Rio de Janeiro, RJ, Brasil.Resenha do livro "Semantic web technologies: trends and research in ontology-based systems", dos organizadores John Davies, Rudi Studer e Paul Warren. Na resenha, a autora Laura Breitman traça um breve comentário sobre a linguagem natural utilizada pelos seres humanos no tratamento da informação contida na internet e nos problemas que a tecnologia atual tem ao recuperar tais informações. Por fim, a autora analisa a estrutura do livro, citando capítulo a capítulo, evidenciando que a proposta para sanar estes problemas com a tecnologia é o foco no ciclo de vida das ontologias: criação, utilização e gerência
Semantic Web Technologies: trends and research in ontology-based systems; John Davies, Rude Studer & Paul Warren - DOI: 10.3395/reciis.v3i1.245en
<b>Semantic Web Technologies: trends and research in ontology-based systems; de John Davies, Rude Studer & Paul Warren</b>
<b>Semantic Web Technologies: trends and research in ontology-based systems; by John Davies, Rude Studer & Paul Warren</b>
The Autonomic Semantic Desktop: helping users cope with information system complexity
In this paper we present the architecture for the Autonomic Semantic Desktop, an self managing application designed to hide system complexity and alleviate users from burdening and time consuming management tasks. The proposed architecture is founded in the basic principles of autonomic systems, i.e.,the set of self * attributes. We introduce a semantic layer to the architecture, to allow machines to process and exchange information without requiring human mediation. The underlying conceptual model used in this layer is Ontology, currently the lingua franca in application on the Semantic Web. 1
A Flexible Strategy-Based Model Comparison Approach: Bridging the Syntactic and Semantic Gap
In this paper we discuss the importance of model comparison as one of the pillars of model-driven development (MDD). We propose an innovative, flexible, model comparison approach, based on the composition of matching strategies. The proposed approach is fully implemented by a match operator that combines syntactical matching rule, synonym dictionary and typographic similarity strategies to a semantic, ontology-based strategy. Ontologies are semantically richer, have greater power of expression than UML models and can be formally verified for consistency, thus providing more reliability and accuracy to model comparison. The proposed approach is presented in the format of a workflow that provides clear guidance to users and facilitates the inclusion of new matching strategies and evolution
A Flexible Strategy-Based Model Comparison Approach: Bridging the Syntactic and Semantic Gap
In this paper we discuss the importance of model comparison as one of the pillars of model-driven development (MDD). We propose an innovative, flexible, model comparison approach, based on the composition of matching strategies. The proposed approach is fully implemented by a match operator that combines syntactical matching rule, synonym dictionary and typographic similarity strategies to a semantic, ontology-based strategy. Ontologies are semantically richer, have greater power of expression than UML models and can be formally verified for consistency, thus providing more reliability and accuracy to model comparison. The proposed approach is presented in the format of a workflow that provides clear guidance to users and facilitates the inclusion of new matching strategies and evolution