Ontology-driven event detection and indexing in smart spaces

Zang Li, Chao Hsien Chu, Wen Yao, Richard A. Behr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

By riding the tide of sensor technologies, smart space services collects information about its surroundings and internal objects. However, sensor readings are usually at primitive stage and difficult to be viewed and further retrieved since they have little meaning for naive users, who usually prefer to identify activities or state changes using high-level semantics or concepts. To bridge this gap, we propose an ontology-driven event processing framework as part of the middleware for smart spaces. Smart space event ontology (SSEO) is developed to enable semantic indexing, detect machine-processable events and exchange event data between different processes. A model named Smart Space Event Processors (SSEP) maintains and coordinates various event processes (e.g., event patterns, ontology reasoning rules, and machine-learning algorithms) for semantic events in a smart space. An implementation of SSEP - OntoCEP is introduced. The model elaborates on event composition and semantic labeling by combining event composition technology and semantic reasoning into one coherent system. It has been applied in a smart-space infrastructure named SENSIP.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010
Pages285-292
Number of pages8
DOIs
StatePublished - Dec 1 2010
Event4th IEEE International Conference on Semantic Computing, ICSC 2010 - Pittsburgh, PA, United States
Duration: Sep 22 2010Sep 24 2010

Publication series

NameProceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010

Other

Other4th IEEE International Conference on Semantic Computing, ICSC 2010
CountryUnited States
CityPittsburgh, PA
Period9/22/109/24/10

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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