@article {263,
	title = {An ontology-based approach for detecting knowledge intensive tasks},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2011},
	pages = {9 - 18},
	abstract = {In the context detection field, an important challenge is automatically detecting the user{\textquoteright}s task, for providing contextualized and personalized user support. Several approaches have been proposed to perform task classification, all advocating the window title as the best discriminative feature. In this paper we present a new ontology-based task detection approach, and evaluate it against previous work. We show that knowledge intensive tasks cannot be accurately classified using only the window title. We argue that our approach allows classifying such tasks better, by providing feature combinations that can adapt to the domain and the degree of freedom in task execution.},
	keywords = {Classification, Context-awareness, Task detection, User context detection, User context ontology},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960684788\&partnerID=40\&md5=2680764b7de9a96a3bfc50e670a65ce8},
	author = {Rath, A.S. and Devaurs, D. and Lindstaedt, S.N.}
}
@article {217,
	title = {Building context-awareness models for mobile applications},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):6Export Date: 10 July 2014},
	month = {2010},
	pages = {78 - 87},
	abstract = {The design process followed to produce traditional applications needs to be enhanced to cope with new context-aware ubiquitous application requirements. With the popularity of ubiquitous computing, context-aware applications become clearly necessary. This new kind of applications allows mobile users to universally access services in respect to any context including his computing environment. Challenges for the design of such applications are to easily define context collection requirements, context analysis and adaptations of the applications due to changes in its environment. To face these issues, we propose, in this article, a generic and extensible way to model context-awareness of any application using the model-driven engineering (MDE) approach. For this purpose, we add a context-awareness aspect to application model views. We illustrate our solution by modeling a context-aware e-commerce application. The addition of a context-awareness aspect, should ease the definition of mobile applications. Furthermore, context-awareness models open the way to automate context-awareness code production.},
	keywords = {Context-awareness, Model driven engineering, Ubiquitous computing},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960676592\&partnerID=40\&md5=bec59c3aa9c877ef871154ab0b7c4a0c},
	author = {Taconet, C. and Kazi-Aoul, Z.}
}
