Similarity Based Distributed Context Reasoning with Layer Context Modeling

2011 ◽  
Author(s):  
Chun Kyung Lee ◽  
Thi Hien Pham ◽  
Hee Seong Kim ◽  
Hee Yong Youn
Keyword(s):  
Context Modeling ◽  
Context Reasoning

scholarly journals Rule-based solution for context-aware reasoning on mobile devices

2014 ◽  
Vol 11 (1) ◽  
pp. 171-193 ◽  
Author(s):  
Grzegorz Nalepa ◽  
Szymon Bobek
Keyword(s):  
Mobile Devices ◽  
Rapid Evolution ◽  
Preliminary Evaluation ◽  
Context Aware ◽  
Context Modeling ◽  
Network Access ◽  
Mobile Platforms ◽  
Rule Based ◽  
Real Time Processing ◽  
Context Reasoning

With the rapid evolution of mobile devices, the concept of context aware applications has gained a remarkable popularity in recent years. Smartphones and tablets are equipped with a variety of sensors including accelerometers, gyroscopes, and GPS, pressure gauges, light and GPS sensors. Additionally, the devices become computationally powerful which allows real-time processing of data gathered by their sensors. Universal network access viaWiFi hot-spots and GSM network makes mobile devices perfect platforms for ubiquitous computing. Most of existing frameworks for context-aware systems, are usually dedicated to static, centralized, clientserver architectures. However, mobile platforms require from the context modeling language and inference engine to be simple and lightweight. The model should also be powerful enough to allow not only solving simple context identification tasks but more complex reasoning. The original contribution of the paper is a proposal of a new rule-based context reasoning platform tailored to the needs of such intelligent distributed mobile computing devices. It contains a proposal of a learning middleware supporting context acquisition. The platform design is based on a critical review and evaluation of existing solutions given in this paper. A preliminary evaluation of the platform is given along with use cases including a social system supporting crime detection and investigation.

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

2013 ◽  
Vol 347-350 ◽  
pp. 2304-2310 ◽  
Author(s):  
Nan Xu ◽  
Wei Shi Zhang ◽  
Hua Dong Yang ◽  
Xiu Guo Zhang ◽  
Xing Xing
Keyword(s):  
Semantic Similarity ◽  
Context Aware ◽  
Context Modeling ◽  
Rule Based ◽  
Matching Algorithm ◽  
Context Aware Computing ◽  
Context Reasoning ◽  
Domain Specific ◽  
Basic Concepts ◽  
Hierarchical Manner

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.

State of the art in hybrid strategies for context reasoning: A systematic literature review

2019 ◽  
Vol 111 ◽  
pp. 122-130
Author(s):  
Roger S. Machado ◽  
Ricardo B. Almeida ◽  
Ana Marilza Pernas ◽  
Adenauer C. Yamin
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Context Reasoning

Dramaturgical and dissonance theories in explicit social context modeling for complex agents

2015 ◽  
Vol 26 (3-4) ◽  
pp. 247-257 ◽  
Author(s):  
Jaroslaw Kochanowicz ◽  
Ah-Hwee Tan ◽  
Daniel Thalmann
Keyword(s):  
Social Context ◽  
Context Modeling
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