Objetivo In this proposal we will offer a unified view of graph mining systems and recommender systems. We propose a system that monitors the time evolution of graph entities (such as customer-product graphs) and allows for a broad set of knowledge extraction operators. The proposed system will feature advanced collaborative tagging techniques, which we call 'auto-tagging' that aim at automating information extraction about the monitored graph entities from various web sources, such as RSS feeds, blog posts and news events. The system will offer several exhiting innovations such as:- Incorporation of Ontologies and hierarchies on top of the graph structure- Automatic expansion of entity information from diverse web sources- Interactive Exploration of the graph space- Knowledge extraction algorithms, including clustering and bi-clustering, recommendations, anomaly detection and prediction. Ámbito científico natural sciencescomputer and information sciencesknowledge engineeringontology Programa(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Tema(s) FP7-PEOPLE-2009-RG - Marie Curie Action: "Reintegration Grants" Convocatoria de propuestas FP7-PEOPLE-2009-RG Consulte otros proyectos de esta convocatoria Régimen de financiación MC-IRG - International Re-integration Grants (IRG) Coordinador IBM RESEARCH GMBH Aportación de la UE € 100 000,00 Dirección SAEUMERSTRASSE 4 8803 Rueschlikon Suiza Ver en el mapa Región Schweiz/Suisse/Svizzera Zürich Zürich Tipo de actividad Private for-profit entities (excluding Higher or Secondary Education Establishments) Contacto administrativo Catherine Trachsel (Ms.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos
