Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Using Hierarchical Task Network Planning Techniques to Create Custom Web Search Services over Multiple Biomedical Databases
Year:2008
Research Areas
  • Artificial intelligence,
  • Programming language
Information
Abstract
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.
International
Si
Congress
Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
960
Place
Zagreb, Croatia
Reviewers
Si
ISBN/ISSN
978-3-540-85564-4
Start Date
03/09/2008
End Date
05/09/2008
From page
42
To page
49
Lecture Notes In Artificial Intelligence; Vol. 5178
Participants
  • Autor: Miguel Garcia Remesal (UPM)
Research Group, Departaments and Institutes related
  • 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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