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

  • Edmond JajagaEmail author
  • Lule Ahmedi
  • Figene Ahmedi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10180)

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.

Keywords

Stream data Expert system Semantic web Rules Water quality monitoring Ontologies 

References

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceSouth East European UniversityTetovëMacedonia
  2. 2.Department of Computer EngineeringUniversity of PrishtinaPrishtinëKosova
  3. 3.Department of Hydro-TechnicUniversity of PrishtinaPrishtinëKosova

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