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 Título: Merging Ontologies via Kernel Contraction

 Palestrante: Raphael Cóbe

 Resumo: Ontologies have been largely used to represent terminological knowledge, specially with the advent of the Semantic Web. As knowledge is not static, it is crucial to learn how to deal with ontology dynamics, which includes Ontology Merging and Debugging. Basically, we want to deal with the inconsistencies and incoherences that may occur when a knowledge base receives a new information or when two or more ontologies are merged. Our purpose in this work is to show some ways to extend and use the BContractor framework, originally proposed for Belief Revision, to implement operations in ontologies.

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 Título: Ontocloud %G–%@ a clinical information ontology based dataintegration system

 Palestrante: Diogo Patrão

 Resumo: Relevant biomedical research relies on finding enough subjects
matching inclusion criteria. Researchers struggle to find eligible patients due
to: information scattered in many different databases, incompatible data representation,
and the technical knowledge required to work directly with databases.
We identified the required features of a clinical data search system and used it
to design and evaluate Ontocloud, a prototype based on open source software
and open standards of a dynamic ontology based database integration system
with inference capabilities. A comparison between Ontocloud and database integration
system showed that our prototype fulfilled its purpose and
can be improved to be used in production.

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