Title
Semantic Query Integration With Reason.
Abstract
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.
Year
DOI
Venue
2019
10.22152/programming-journal.org/2019/3/13
Programming Journal
DocType
Volume
Issue
Journal
3
3
ISSN
Citations 
PageRank 
The Art, Science, and Engineering of Programming, 2019, Vol. 3, Issue 3, Article 13
0
0.34
References 
Authors
25
4
Name
Order
Citations
PageRank
Philipp Seifer111.39
Martin Leinberger2235.94
Ralf Lämmel31579109.70
Steffen Staab46658593.89