Talks and Poster Presentations (with Proceedings-Entry):
E. Serral Asensio, O. Kovalenko, T Moser, S. Biffl:
"A Systematic Comparison of Semantic Integration Data Storage Architectures for Multidisciplinary Systems";
Talk: 1st International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2013),
- 2013-09-04; in: "MODELSWARD 2013",
Multidisciplinary projects typically rely on the contributions of various disciplines using heterogeneous engineering tools. This paper focuses on the challenge of querying across different disciplines, which may be influenced by the selection of a proper instance data storage architecture for storing the heterogeneous tool data. Specifically, we have identified three different architectures: ontology file stores, triple stores and relational database stores. This paper systematically compares these architectures using an industrial case study and analyses their selection according to important requirements such as performance and maintainability.
Multidisciplinary Projects, Data Integration, Ontologies, Querying Across Disciplines
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.