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Modeling, Generating, and Publishing Knowledge as Linked Data Read chapter Read first chapter

2017 | OriginalPaper | Chapter

StreamJess: Enabling Jess for Stream Data Reasoning and the Water Domain Case

Authors : Edmond Jajaga, Lule Ahmedi, Figene Ahmedi

Published in: Knowledge Engineering and Knowledge Management

Publisher: Springer International Publishing

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Abstract

This paper introduces StreamJess, a Stream Reasoning system that layers on top of a state of the art query processing system such as C-SPARQL to enable closed-world, non-monotonic and time-aware reasoning with Jess rules. The system is validated in the water quality monitoring domain by demonstrating water bodies’ classification and pollution sources investigation.

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previous chapter An Ontological Perspective on Thematic Roles
next chapter Flexible RDF Generation from RDF and Heterogeneous Data Sources with SPARQL-Generate
Footnotes
1
Semantic Sensor Network Ontology, http://​purl.​oclc.​org/​NET/​ssnx/​ssn.
 
Literature
1.
Barbieri, D.F., Braga, D., Ceri, S., Della Valle, E., Grossniklaus, M.: C-SPARQL: a continuous query language for RDF data streams. J. Semant. Comput. 4(1), 3–25 (2010)CrossRefMATH
2.
Anicic, D., Fodor, P., Rudolph S., Stojanovic, N.: EP-SPARQL: a unified language for event processing and stream reasoning. In: WWW 2011, pp. 635–644 (2011)
3.
Jajaga, E., Ahmedi, L., Abazi-Bexheti, L.: Semantic Web trends on reasoning over sensor data. In: 8th South East European Doctoral Student Conference, Greece, pp. 284–293 (2013)
4.
Ahmedi, L., Jajaga, E., Ahmedi, F.: An ontology framework for water quality management. In: Corcho, Ó., Henson, C.A., Barnaghi, P.M. (eds.) SSN@ISWC, Sydney, pp. 35–50 (2013)
5.
Ermert, L.: Comparing Jess and Esper for event stream processing. Bachelor Thesis, Faculty IV - department of computer science, Fachhochschule Hannover, Germany (2009)
6.
Hill, E.F.: Jess in Action: Java Rule-Based Systems. Manning Publications Co., Greenwich (2003)
7.
Environment Agency: Method statement for the classification of surface water bodies, v2.0 (external release) [online], Monitoring Strategy v2.0, July 2011
8.
Metadata
Title
StreamJess: Enabling Jess for Stream Data Reasoning and the Water Domain Case
Authors
Edmond Jajaga
Lule Ahmedi
Figene Ahmedi
Copyright Year
2017
Book
Knowledge Engineering and Knowledge Management

Print ISBN: 978-3-319-58693-9

Electronic ISBN: 978-3-319-58694-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58694-6_15

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