SLUBM: An extended LUBM Benchmark for Stream Reasoning
in Proceedings of the second International Workshop on Ordering, Reasoning, co-located with the 12th International Semantic Web Conference (ISWC 2013), Vol-1059, Seite 43-54. CEUR Workshop Proceedings, (2013)Zusammenfassung
Stream reasoning is now emerging as a hot topic in the context of Semantic Web. As the number of data sources that continuously
generates data streams emulating real-time events are increasing (and
getting more diverse, i.e., from social networks to sensor networks), the
task of exploiting the temporal aspects of these dynamic data becomes
a real challenge. Stream reasoning is another form of the traditional reasoning, that works with streaming (dynamic, temporal) data over an
underlying (static) ontology. There have been many existing reasoning
systems (or newly proposed) trying to cope with the problems of stream
reasoning but there is yet no standard to measure the performance and
scalability of such systems. This paper proposes a benchmarking system, which is an extension to the well-known benchmark for traditional
reasoning, Lehigh University Benchmark (LUBM), to make it work for
stream-based experiments while retaining most of the LUBM's old standards.
Beschreibung
This work is funded by BMBF under the project ASEV
