The vision of a new generation of network communication architectures, which deliver a Quality of Service based on intelligent decisions about the interactions that typically take place in a multimedia scenario, encou...
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The discovery of the association between terms and a specified topic is a difficult task. A new data mining technique, topic-oriented mining and reasoning, is presented for this task. The technique consists of two thr...
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Summary form only given. In pervasive computing the involved agents and services must organize themselves dynamically both in cooperative and non-cooperative environments in order to enable sharing of distributed reso...
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Summary form only given. In pervasive computing the involved agents and services must organize themselves dynamically both in cooperative and non-cooperative environments in order to enable sharing of distributed resources and knowledge discovery. Provisioning of trusted services appears to be an important factor to enable the success of this new computing paradigm. Reputation-based trust management models are becoming a focus of the research community as a viable solution. On the one hand, the trust models must satisfy constraints imposed by the environment, such as scalability, on the other hand, they must comply with the unique properties of trust as a social and economic phenomenon. In this paper we classify and compare approaches that have been proposed to fulfil this task. The identified classes are: social networks, probabilistic estimation techniques and game-theoretic reputation systems. Social networks and probabilistic estimation techniques operate on so called probabilistic behavior, while game-theoretic models are suitable for rational behavior. Probabilistic techniques normally imply smaller implementation overheads than social networks and enable a more intuitive transition of reputation to trust, while social networks are believed to be able to better detect misbehavior in a broader range of settings. Game-theoretic models, as appropriate for rational economic agents maximizing their utilities, can under specific circumstances enforce trustworthy behavior.
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata together with computer vision analysis of i...
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Detachable user interfaces consist of graphical user interfaces whose parts or whole can be detached at run-time from their host, migrated onto another computing platform while carrying out the task, possibly adapted ...
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This paper presents the integration of haptic and visual modalities in a multimodal application for planning total hip replacement. It focuses on the creation of the surgical access since that plays a fundamental role...
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This paper presents the integration of haptic and visual modalities in a multimodal application for planning total hip replacement. It focuses on the creation of the surgical access since that plays a fundamental role in the success of the complete intervention and is also a perfect candidate for multimodal integration, since both the assessment of the surgical access and of the potential damage to the structures involved can benefit from combining these complementary sources of information.
Coalescing is a data restructuring operation applicable to temporal databases. It merges timestamps of adjacent or overlapping tuples that have identical attribute values. The likelihood that a temporal query employs ...
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Coalescing is a data restructuring operation applicable to temporal databases. It merges timestamps of adjacent or overlapping tuples that have identical attribute values. The likelihood that a temporal query employs coalescing is very high. However, coalescing is an expensive and time consuming operation. In this paper, we present a novel temporal relational model through which coalescing becomes quite simple. The basic idea is to augment each time-varying attribute in a temporal relation with two additional attributes that trace changes in values of the corresponding time-varying attribute. One attribute traces changes in values with respect to each individual instance (i.e. tuples having the same key value), while the other attribute traces changes in values globally for all instances (i.e. all tuples in the temporal relation). Using these tracing attributes, coalescing could be easily implemented through a quite simple join-free group-by query. The coalescing query is fully processed and optimized by the underlying database management system.
This paper describes an approach to enterprise application integration (EAI) using extensible Web services. The approach is demonstrated by building a real-world application for EAI in the financial services domain. B...
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This paper describes an approach to enterprise application integration (EAI) using extensible Web services. The approach is demonstrated by building a real-world application for EAI in the financial services domain. Business drivers for and approaches to EAI are presented first. The manifestation of Web services in general and their role in EAI are discussed next. Financial services domain characteristics are presented. Business drivers that entail a strong need for functional extensibility in the financial services domain are described. Our proposed architecture for EAI which addresses functional extensibility is described. This architecture is based on the notion of extensible Web services. We then present our implementation of the architecture and practical challenges encountered in EAI. A brief discussion of how our work relates to the current research in service-oriented computing (SOC) and semantic Web concludes the paper.
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