CACOnt: A Ontology-Based Model for Context Modeling and Reasoning
Authors
Nan Xu, Weishi Zhang, Huadong Yang, Xiuguo Zhang, Xing Xing
Corresponding Author
Nan Xu
Available Online March 2013.
- 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/).
Cite this article
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 -