Title :
Towards an ontology-based context-aware meta-model for the software domain
Author_Institution :
Concordia Univ., Montreal, QC, Canada
Abstract :
Over the last decade, contextual modeling has gained on importance due to the wide spread introduction of ubiquitous computing. Common to these systems is that they integrate contextual information to improve situated cognition and awareness as well as stakeholders´ usage experience with these systems. While domains such as Web 3.0, which shares many commonalities with the software domain, have made context-awareness as part of their solution space, the software domain still lacks the same rate of adoption. In our research, we introduce an ontology based context-aware meta-model to capture and formalize different context abstraction levels.
Keywords :
Internet; ontologies (artificial intelligence); ubiquitous computing; Web 3.0; context abstraction level; context-awareness; contextual information; contextual modeling; ontology based context-aware meta-model; ontology-based context-aware meta-model; situated cognition; situational awareness; software domain; ubiquitous computing; usage experience; Computational modeling; Context; Context modeling; Data models; Ontologies; Sensors; Software; context-awareness; meta-modeling;
Conference_Titel :
Software Analysis, Evolution and Reengineering (SANER), 2015 IEEE 22nd International Conference on
Conference_Location :
Montreal, QC
DOI :
10.1109/SANER.2015.7081892