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CONTEXT
2007
Springer
13 years 12 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
CAISE
2009
Springer
14 years 10 days ago
A Goal Modeling Framework for Self-contextualizable Software
Self-contextualizability refers to the system ability to autonomously adapt its behaviour to context in order to maintain its objectives satisfied. In this paper, we propose a mod...
Raian Ali, Fabiano Dalpiaz, Paolo Giorgini
CAI
2006
Springer
13 years 5 months ago
Analysis and Design of Mobile Collaborative Applications Using Contextual Elements
Collaborative mobile applications support users on the move in order to perform a collaborative task. One of the challenges when designing such applications is to consider the cont...
Rosa Alarcón, Luis A. Guerrero, Sergio F. O...
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
14 years 2 days ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
RE
2005
Springer
13 years 11 months ago
Contextual Risk Analysis for Interview Design
Interviews with stakeholders can be a useful method for identifying user needs and establishing requirements. However, interviews are also problematic. They are time consuming and...
Tira Cohene, Steve M. Easterbrook