| 1. |
- Nagaraja, Ch., et al.
(author)
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Opening remarks
- 2016
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Conference paper (peer-reviewed)
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| 2. |
- Li, F., et al.
(author)
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Unsupervised context-aware user preference mining
- 2013
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In: Proceeding of Workshop on Activity Context-Aware System Architectures at the 27th AAAI Conference on Artificial Intelligence. - 9781577356165 ; , s. 36-43
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Conference paper (peer-reviewed)abstract
- In pervasive environments, users are situated in rich context and can interact with their surroundings through various services. To improve user experience in such environments, it is essential to find the services that satisfies user preferences in certain context. Thus the suitability of discovered services is highly dependent on how much the context-aware system can understand users' current context and preferred activities. In this paper, we propose an unsupervised learning solution for mining user preferences from the user's past context. To cope with the high dimensionality and heterogeneity of context data, we propose a subspace clustering approach that is able to find user preferences identified by different feature sets. The results of our approach are validated by a series of experiments.
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| 3. |
- Rasch, Katharina, et al.
(author)
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Automatic description of context-altering services through observational learning
- 2012
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In: Pervasive Computing. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642312045 ; , s. 461-477
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Conference paper (peer-reviewed)abstract
- Understanding the effect of pervasive services on user context is critical to many context-aware applications. Detailed descriptions of context-altering services are necessary, and manually adapting them to the local environment is a tedious and error-prone process. We present a method for automatically providing service descriptions by observing and learning from the behavior of a service with respect to its environment. By applying machine learning techniques on the observed behavior, our algorithms produce high quality localized service descriptions. In a series of experiments we show that our approach, which can be easily plugged into existing architectures, facilitates context-awareness without the need for manually added service descriptions.
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| 4. |
- Rasch, Katharina, 1982-, et al.
(author)
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Context-driven personalized service discovery in pervasive environments
- 2011
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In: World wide web (Bussum). - MA, USA : Kluwer Academic Publishers Hingham. - 1386-145X .- 1573-1413. ; 14:4, s. 295-319
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Journal article (peer-reviewed)abstract
- Pervasive environments are characterized by a large number of embedded devices offering their services to the user .Which of the available services are of most interest to the user considerably depends on the user’s current context. User context is often rich and very dynamic; making an explicit, user-driven discovery of services impractical. Users in such environments would instead like to be continuously informed about services relevant to them. Implicit discovery requests triggered by changes in the context are therefore prevalent. This paper proposes a proactiveservice discovery approach for pervasive environments addressing these implicit requests. Services and user preferences are described by a formal context modelcalled Hyperspace Analogue to Context, which effectively captures the dynamics of context and the relationship between services and context. Based on the model, we propose a set of algorithms that can continuously present the most relevant services to the user in response to changes of context, services or user preferences. Numeric coding methods are applied to improve the algorithms’ performance. The algorithms are grounded in a context-driven service discovery system that automatically reacts to changes in the environment. New context sources and services can be dynamically integrated into the system. A client for smart phones continuously informs users about the discovery results. Experiments show, that the system can efficiently provide the user with continuous, up-to-date information about the most useful services in real time.
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| 5. |
- Baldoni, R., et al.
(author)
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An embedded middleware platform for pervasive and immersive environments for-all
- 2009
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In: 2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops, SECON Workshops 2009. - : IEEE. - 9781424439386 ; , s. 161-163
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Conference paper (peer-reviewed)abstract
- Embedded systems are specialized computers used in larger systems or machines to control equipments such as automobiles, home appliances, communication, control and office machines. Such pervasivity is particularly evident in immersive realities, i.e., scenarios in which invisible embedded systems need to continuously interact with human users, in order to provide continuous sensed information and to react to service requests from the users themselves. The SM4All project investigates an innovative middleware platform for inter-working of smart embedded services in immersive and person-centric environments, through the use of composability and semantic techniques for dynamic service reconfiguration. This is applied to the challenging scenario of private houses and home-care assistance in presence of users with different abilities and needs (e.g., young, able-bodied, aged and disabled). This paper presentes a brief overview of the SM4All system architecture.
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