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KP-LAB Knowledge Practices Laboratory -- Specification of the SWKM Knowledge Evolution, Recommendation, and Mining services Smrz, P., Sklenak, V., Svatek, V., Kavalec, M., Svihla, M., Paralic, J., Furdik, K., Bednar, P., Smatana, P., Spyratos, N., Belhajfrej, H., Nguer, M., Christophides, V., Kotzinos, D., Tzitzikas, Y., Flouris, G., Markakis, G. deliverables (2007) - http://hal.archives-ouvertes.fr/hal-00593214

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PDF SpecificationSWKM.pdf(484.2 KB)

Type de publication	Autres publications
Auteur(s)	Pavel Smrz1, Vilem Sklenak1, Vojtech Svatek1, Martin Kavalec1, Martin Svihla1, Jan Paralic2, Karol Furdik2, Peter Bednar2, Peter Smatana2, Nicolas Spyratos3, Hanen Belhajfrej3, Mamadou Nguer3, Vassilis Christophides4, Dimitris Kotzinos5, Yannis Tzitzikas4, Giorgos Flouris5, Giorgos Markakis5
Laboratoire	1 :  UEP – University of Economics http://www.vse.cz/index-en.php Knowledge Engineering Group W. Churchill Sq. 4 130 67 Prague 3 Czech Republic Tchèque, République 2 :  TUK Technical University of Košice Slovaquie 3 :  LRI – Laboratoire de Recherche en Informatique http://www.lri.fr/ CNRS : UMR8623 – Université Paris XI - Paris Sud LRI - Bâtiment 490 Université Paris-Sud 91405 Orsay Cedex France 4 :  Institute of Computer Science Foundation for Research and Technology - Hellas (FORTH-ICS) Grèce 5 :  FORTH-ICS – Institute of Computer Science, Foundation for Research and Technology - Hellas University of Crete Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH-ICS) and Department of Computer Science, University of Crete Heraklion, Crete, Greece Grèce
Domaine	Informatique/Environnements Informatiques pour l'Apprentissage Humain Sciences de l'Homme et Société/Education
Titre	KP-LAB Knowledge Practices Laboratory -- Specification of the SWKM Knowledge Evolution, Recommendation, and Mining services
Résumé	This deliverable presents the deep-level specification for the second release (M24) of the components responsible for advanced manipulation with the knowledge stored in the KP-Lab Semantic Web Knowledge Middleware (SWKM). The two components were defined in [D5.1] as Knowledge Mediator and Knowledge Matchmaker. The Knowledge Mediator services (change, comparison, versioning and registry) aim at providing functionalities to support evolving ontologies and RDF Knowledge Bases (KBs). Upon a change request, the change service will automatically determine the effects and side-effects of the request and present it to the caller for validation. A comparison service is necessary to allow one to compare two versions of an ontology or RDF KB and identify their differences. The above functionalities are coupled with a versioning system, which is used to make different versions of the same ontology (or RDF KB) persistent, and with the registry service, which allows the user to classify the stored ontologies, using some related metadata for easy access and manipulation. The Knowledge Matchmaker supports advanced mining and notification services for knowledge artefacts. It essentially enables to cluster/classify available information resources with respect to the employed ontologies, as well as, to notify about changes to content items produced/consumed within a group of learners according to explicitly subscribed preferences [DoWB]. The Notification service supports access to the knowledge repository for KP-Lab users (i.e. individual human users as well as various tools or software components) by keeping them aware of changes. Users will be able to subscribe their preferences to the KP-Lab system in order to be notified about the changes in the knowledge repository. Events (modifications) in the repository are matched with the subscriptions and notifications are propagated automatically to the users. Text Mining services are used to assist users when creating or updating the semantic descriptions of KP-Lab knowledge artefacts. The Classification Service, after a software-training period, will classify the artefacts under some pre-defined set of categories (e.g., ontology concepts), resulting in a semi-automatic generation of semantic descriptions. The Clustering Service will look for clusters of similar artefacts and automatically acquire conceptual maps from knowledge artefacts. This can lead to the update or even the creation of (new) KP-Lab ontologies managed in the sequel by the Knowledge Mediator. The services are described along with the proposed functionality for each one, based upon the motivating scenarios and the subsequent functional requirements. The functionality of the services is presented from the end-user perspective and divided into parts that form the major components of the SWKM knowledge evolution, recommendation and mining services architecture.
Langue du texte intégral	Anglais
Date de publication	2007
Description	deliverables
Mots Clés	collaborative knowledge building
Thésaurus EIAH	Virtual learning environment
Projet(s), collaboration(s)	KP-LAB Knowledge Practices Laboratory

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Contributeur : Jerome Zeiliger <>

Soumis le : Vendredi 13 Mai 2011, 15:52:43

Dernière modification le : Lundi 16 Mai 2011, 10:16:04