Incorporating domain knowledge and user expertise in probabilistic tuple merging

Link:
Autor/in:
Beteiligte Personen:
  • Benferhat, Salem
  • Grant, John
Verlag/Körperschaft:
Springer
Erscheinungsjahr:
2011
Medientyp:
Text
Schlagworte:
  • Database systems
  • Algorithms
  • Probabilistic databases
  • Database Systems
  • Ontology
  • Query Processing
  • probabilistic data
  • external knowledge
  • tuple merging
  • Database systems
  • Algorithms
  • Probabilistic databases
  • Database Systems
  • Ontology
  • Query Processing
Beschreibung:
  • Today, probabilistic databases (PDB) become helpful in several application areas. In the context of cleaning a single PDB or integrating multiple PDBs, duplicate tuples need to be merged. A basic approach for merging probabilistic tuples is simply to build the union of their sets of possible instances. In a merging process, however, often additional domain knowledge or user expertise is available. For that reason, in this paper we extend the basic approach with aggregation functions, knowledge rules, and instance weights for incorporating external knowledge in the merging process. © 2011 Springer-Verlag.
Lizenz:
  • info:eu-repo/semantics/restrictedAccess
Quellsystem:
Forschungsinformationssystem der UHH
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Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/6acf1d45-d3fd-4560-ab2c-eac1b437435c