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Memorias de investigación
Ponencias en congresos:
Using Hierarchical Task Network Planning Techniques to Create Custom Web Search Services over Multiple Biomedical Databases
Año:2008
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
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
Si
Nombre congreso
Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Tipo de participación
960
Lugar del congreso
Zagreb, Croatia
Revisores
Si
ISBN o ISSN
978-3-540-85564-4
DOI
Fecha inicio congreso
03/09/2008
Fecha fin congreso
05/09/2008
Desde la página
42
Hasta la página
49
Título de las actas
Lecture Notes In Artificial Intelligence; Vol. 5178
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Garcia Remesal (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
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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