CACOnt: A Ontology-Based Model for Context Modeling and Reasoning

DOI

10.2991/iccsee.2013.650How to use a DOI?

Keywords

context modeling, context reasoning, semantic similarity, context-aware computing, rule matching

Abstract

In this paper, we present a general and extensible context-aware computing ontology (CACOnt) for modeling context and providing inference mechanisms. CACOnt provides not only the generic context ontologies for capturing basic concepts about context, but also the extensibility for adding domain-specific ontologies in a hierarchical manner. CACOnt facilitates the context reasoning capabilities by providing semantic logics which is possible to combine with rule-based systems. However, the set of rules cannot entirely cover the domain of contexts, we present a semantic similarity-based rule matching algorithm as the solution to this problem.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nan Xu
AU  - Weishi Zhang
AU  - Huadong Yang
AU  - Xiuguo Zhang
AU  - Xing Xing
PY  - 2013/03
DA  - 2013/03
TI  - CACOnt: A Ontology-Based Model for Context Modeling and Reasoning
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2605
EP  - 2609
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.650
DO  - 10.2991/iccsee.2013.650
ID  - Xu2013/03
ER  -