Practical Use of Formal Concept Analysis in Service-Oriented Computing

Chollet, Stéphanie; Lestideau, Vincent; Maurel, Yoann; Gandrille, Etienne; Lalanda, Philippe; Raynaud, Olivier

doi:10.1007/978-3-642-29892-9_11

Cited by 5 publications

(2 citation statements)

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“…In [9], [10], we propose to apply FCA to service selection in pervasive environment. The usability of the FCA is based on the computation of the interesting concepts of the concept lattice.…”

Section: B Computation Of Decision Structurementioning

confidence: 99%

fANFARE: Autonomic Framework for Service-Based Pervasive Environment

Maurel

Chollet

Lestideau

et al. 2012

2012 IEEE Ninth International Conference on Services Computing

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The ability to react quickly to unpredictable changes in the environment is a key requirement in pervasive computing. This paper presents fANFARE, a framework for the autonomic management of service-oriented applications in pervasive environments. Specifically, it focuses on the configuration and optimization of pervasive applications deployed on OSGi platforms. We propose to handle runtime administration through a hierarchy of autonomic managers, that is a platform manager and a number of application managers and dependency managers. Our approach has been implemented and validated on pervasive use cases within the MEDICAL project funded by the French Ministry of Industry.

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Section: B Computation Of Decision Structurementioning

confidence: 99%

fANFARE: Autonomic Framework for Service-Based Pervasive Environment

Maurel

Chollet

Lestideau

et al. 2012

2012 IEEE Ninth International Conference on Services Computing

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“…Context distribution mechanisms have to cope with the dynamicity that characterizes MANETs and also prevent context information to be delivered to nodes (and applications) that are not interested in it. FCA can provide interesting mechanisms; it has also been applied successfully to pervasive applications in (Chollet et al, 2012).…”

Section: Fca-based Contextual Searchmentioning

confidence: 99%

Advances in FCA-based Applications for Social Networks Analysis

Aufaure

Grand

2013

International Journal of Conceptual Structures and Smart Applications

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Concept lattices have been widely used for various purposes in many different applications since the 1980s. Recent applications of Formal Concept Analysis include extensions of traditional FCA applications such as data and text mining, machine learning and knowledge management. Progress has also recently been made in software engineering, Semantic Web and databases. New applications have also emerged in the fields of healthcare, ecology, biology, agronomy, business and social networks. This article presents example of successful applications of FCA for Social Networks Analysis. We show the benefit of FCA solutions, as well as their combination with semantics and topology-based approaches. We conclude by presenting FCA-based visualization solutions and open challenges for FCA in the context of large and dynamic data.

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