Ponencias en congresos:
SAT & ZB: Novel Tools to Acquire and Browse Conceptual Schemas from Public Online databases for Biomedical Applications
SAT & ZB: Novel Tools to Acquire and Browse Conceptual Schemas from Public Online databases for Biomedical Applications
Año:2007
Áreas de investigación
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Inteligencia artificial, -
Lenguaje de programación
Datos
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Descripción
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| In this paper we present a suite of tools to automatically acquire and browse conceptual schemas from large collections of HTML-based biomedical documents. This suite is composed of two tools: the schema acquisition tool (SAT) and the zoomable browser (ZB). The SAT is the implementation of a novel four-phased method to extract conceptual schemas from non-structured sources. First, all documents in the collection are analyzed to extract relevant concepts. Second, the vocabulary discovered during the first phase is organized into a hierarchical structure. Third, the schema is enriched with non-hierarchical ad-hoc relationships. The last phase is an optional refinement activity that must be conducted by experts in the domain covered by the collection. The extracted schemas can be navigated using the ZB. We have used these tools for different purposes in the EC funded biomedical research project Advancing Clinico- Genomic Trials on Cancer (ACGT), obtaining promising results. | |
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Internacional
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Si |
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Nombre congreso
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International Conference on Conceptual Modeling, Serie: Conferences in Research and Practice in Information Technology (CRPIT) |
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Tipo de participación
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960 |
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Lugar del congreso
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Auckland (New Zealand) |
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Revisores
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Si |
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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05/11/2007 |
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Fecha fin congreso
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09/11/2007 |
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Título de las actas
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Participantes
- Participante: P Gil
- Autor: Miguel Garcia Remesal (UPM)
- Autor: Victor Manuel Maojo Garcia (UPM)
- Participante: H Billhardt
- Autor: Jose Crespo Del Arco (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
- Departamento: Inteligencia Artificial
- Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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