Graph-based data models allow for flexible data representation. In particular, semantic data based on RDF and OWL fuels use cases ranging from general knowledge graphs to domain specific knowledge in various technological or scientific domains. The flexibility of such approaches, however, makes programming with semantic data tedious and error-prone. In particular the logics-based data descriptions employed by OWL are problematic for existing error-detecting techniques, such as type systems. In this paper, we present DOTSpa, an advanced integration of semantic data into programming. We embed description logics, the logical foundations of OWL, into the type checking process of a statically typed programming language and provide typed data access through an embedding of the query language SPARQL. In addition, we demonstrate a concrete implementation of the approach, by extending the Scala programming language. We qualitatively compare programs using our approach to equivalent programs using a state-of-the-art library, in terms of how both frameworks aid users in the handling of typical failure scenarios.
Thu 4 Apr
|11:00 - 11:30|
Andi BejleriIBM GBS, Frankfurt, Germany, Elton DomnoriCanadian Institute of Technology, Tirana, Albania, Malte VieringTU Darmstadt, Germany, Patrick EugsterUniversita della Svizzera Italiana, Switzerland, Mira MeziniTU Darmstadt, GermanyLink to publication DOI Pre-print
|11:30 - 12:00|
Philipp SeiferUniversity of Koblenz-Landau, Germany, Martin LeinbergerUniversity of Koblenz-Landau, Germany, Ralf LämmelUniversity of Koblenz-Landau, Germany, Steffen StaabUniversity of Koblenz-Landau and University of Southampton, GermanyLink to publication DOI Pre-print
|12:00 - 12:30|
Sandra DylusUniversity of Kiel, Germany, Jan ChristiansenFlensburg University of Applied Sciences, Germany, Finn TeegenUniversity of Kiel, GermanyLink to publication DOI Pre-print