Querying EL ontology stream with C-SPARQL

Akanimo Samuel Okure, Jeff Z. Pan

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

3 Citations (Scopus)


The availability of streaming information is progressively increasing, thanks to the knowledge management technologies such as ontologies that captures knowledge about this information. The semantic web initiative provides standards such as RDF and OWL, the two most powerful Semantic Web knowledge representation languages. The OWL adds semantics to schemas, and allows for more expressivity than RDF. As far as we know, there are existing querying services, designed for an swering queries over streaming data in RDF format, but there is none for the OWL EL ontological stream, in order to address this short comings for OWL EL ontological streams, in this paper, we focus primarily on the problem of querying and reasoning over OWL ontological streams, specifically how to design and evaluate Continuous SPARQL query over OWL EL ontological streams, in which the queries are evaluated under more expressive semantics of OWL. We address semantic issues, by introducing the add and erase semantics, maintaining relevant erasure for special use. We propose a general and flexible architecture, for querying more expressive OWL ontological streams with the help of a stream reasoner in near real time. This is our first step towards the design and implementation of such a system.
Original languageEnglish
Title of host publication2013 International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2013)
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)9781479927586
Publication statusPublished - 2014
Event2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 - Kuching, Sarawak, Malaysia
Duration: 23 Dec 201324 Dec 2013


Conference2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013
CityKuching, Sarawak


  • Continuous SPARQL
  • Ontology Stream
  • Reasoning


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