Ontology based context modeling and reasoning using OWL

By Xiaohang Wang, Daqing Zhang, Tao Gu, Hung Keng Pung. IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second, 2004

1,361 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/fc2c46543334b2bb6faed4c50f43a432bf18867e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Charith Perera
2. Peter Christen
3. D. Georgakopoulos
4. Arkady B. Zaslavsky
5. R. Schnell
6. Dinusha Vatsalan
7. Vassilios S. Verykios
8. Dacheng Tao

In Computer Vision and Pattern Recognition

1. Charith Perera
2. Peter Christen
3. D. Georgakopoulos
4. Arkady B. Zaslavsky
5. Dacheng Tao
6. Jing Zhang

In Hardware and Architecture

1. Charith Perera
2. Peter Christen

Citations in the corpus

• Context Aware Computing for The Internet of Things: A Survey (2013, background): “The most common reasons are to [135], [136] share a common understanding of”
• The Smart Home Concept : our immediate future (2006, neutral): “[13] presents a context representation and”
• A survey of context modelling and reasoning techniques (2010, neutral): “, [67,1]).”
• Cloud-enhanced predictive maintenance (2016, background): “According to [30], an ontology-based context modelling allows: – Knowledge sharing between computational entities by having a common set of concepts about the concept; – Logic inference by exploiting various existing logic reasoning mechanisms to deduce high-level, conceptual context from…”