Flexible Querying of Fuzzy RDF Annotations Using Fuzzy Conceptual Graphs

  • Authors:
  • Patrice Buche;Juliette Dibie-Barthélemy;Gaëlle Hignette

  • Affiliations:
  • INRA Department of Applied Mathematics and Computer Science, , Paris Cedex 05, F-75231;INRA Department of Applied Mathematics and Computer Science, , Paris Cedex 05, F-75231 and UFR Informatique, AgroParisTech, Paris Cedex 05, F-75231;INRA Department of Applied Mathematics and Computer Science, , Paris Cedex 05, F-75231 and UFR Informatique, AgroParisTech, Paris Cedex 05, F-75231

  • Venue:
  • ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
  • Year:
  • 2008

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Abstract

This paper presents a flexible querying system of fuzzy RDF annotations which consists in translating fuzzy RDF annotations into fuzzy conceptual graphs and using an "approximate"-projection operation in order to compare fuzzy query graphs with fuzzy annotation graphs. The fuzzy sets in the query graphs having a semantic of preferences are compared with the fuzzy sets in the annotation graphs having a semantic of similarity or imprecision. These comparisons deliver several scores which are used by our flexible querying system to sort the answers according to a total order even if these scores are not commensurable.