Descripción
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We present a novel method to create complex search services over public online biomedical databases using hierarchical task network planning techniques. In the proposed approach, user queries are regarded as planning tasks (goals), while basic query services provided by the databases correspond to planning operators (POs). Each individual source is then mapped to a set of POs that can be used to process primitive (simple) queries. Advanced search services can be created by defining decomposition methods (DMs). The latter can be regarded as "recipes" that describe how to decompose non-primitive (complex) queries into sets of simpler subqueries following a divide-andconquer strategy. Query processing proceeds by recursively decomposing nonprimitive queries into smaller queries, until primitive queries are reached that can be processed using planning operators. Custom web search services can be created from the generated planners to provide biomedical researchers with valuable tools to process frequent complex queries. | |
Internacional
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Si |
Nombre congreso
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Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II |
Tipo de participación
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960 |
Lugar del congreso
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Zagreb, Croatia |
Revisores
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Si |
ISBN o ISSN
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978-3-540-85564-4 |
DOI
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Fecha inicio congreso
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03/09/2008 |
Fecha fin congreso
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05/09/2008 |
Desde la página
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42 |
Hasta la página
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49 |
Título de las actas
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Lecture Notes In Artificial Intelligence; Vol. 5178 |