A survey of context modelling and reasoning techniques
By Claudio Bettini, Oliver Brdiczka, Karen Henricksen, Jadwiga Indulska, Daniela Nicklas, Anand Ranganathan, Daniele Riboni. Pervasive and Mobile Computing, 2010
1,303 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2114312936fd208b36974ee7f87a0bbefaf09116
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
- Charith Perera
- Erdogan Dogdu
- A. Ozbayoglu
- Omer Berat Sezer
- Christian Becker
- Peter Christen
- Gregor Schiele
- D. Georgakopoulos
In Computer Vision and Pattern Recognition
- Omer Berat Sezer
- A. Ozbayoglu
- Charith Perera
- Christian Becker
- Peter Christen
- D. Georgakopoulos
- Erdogan Dogdu
- Arkady B. Zaslavsky
Citations in the corpus
- Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “The most popular classification of context modeling is defined as key-value, markup scheme, graphical, object oriented, logic-based, ontology-based, spatial, uncertainty, and hybrid context modeling [21], [23], [26], [98], [99].”
- Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence (2012, neutral): “The survey in [83] on contextmodeling and reasoning techniques included studies capturing anddescribing context specifically under uncertainty conditions, which could potentially seed more focused research on QoI.”
- Context Aware Computing for The Internet of Things: A Survey (2013, methodology): “The process of how the multiple techniques can be combined together is presented in [12], [183].”
- Location based services: ongoing evolution and research agenda (2018, background): “Bettini et al. (2010) identify fi ve context model categories: key-value, markup-based, object-role-based, spatial, and ontology based.”
- A survey on engineering approaches for self-adaptive systems (2015, background): “, see [34]) must be integrated in approaches for SAS for building context-altering SAS.”