A Dataflow Graph Transformation Language and Query Rewriting System for RDF Ontologies

  • Marianne Shaw
  • Landon T. Detwiler
  • James F. Brinkley
  • Dan Suciu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7338)

Abstract

Users interested in biological and biomedical information sets on the semantic web are frequently not computer scientists. These researchers often find it difficult to use declarative query and view definition languages to manipulate these RDF data sets. We define a language IML consisting of a small number of graph transformations that can be composed in a dataflow style to transform RDF ontologies. The language’s operations closely map to the high-level manipulations users undertake when transforming ontologies using a visual editor. To reduce the potentially high cost of evaluating queries over these transformations on demand, we describe a query rewriting engine for evaluating queries on IML views. The rewriter leverages IML’s dataflow style and optimizations to eliminate unnecessary transformations in answering a query over an IML view. We evaluate our rewriter’s performance on queries over use case view definitions on one or more biomedical ontologies.

Keywords

Graph Transformation Query Pattern Path Expression Visual Editor National Cancer Institute Thesaurus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marianne Shaw
    • 1
  • Landon T. Detwiler
    • 2
  • James F. Brinkley
    • 2
    • 3
  • Dan Suciu
    • 1
  1. 1.Computer Science & Eng.University of WashingtonSeattleUSA
  2. 2.Dept. of Biological StructureUniversity of WashingtonSeattleUSA
  3. 3.Dept. of Medical & Biological InformaticsUniversity of WashingtonSeattleUSA

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