Knowledge Driven Data Exploitation (K-Drive) is a European Commission 7th Framework Programme project for Industry-Academia Partnerships and Pathways. The main goals of K-Drive are (1) the development of efficient and scalable query generation techniques with potential for dealing with streaming data and knowledge and (2) the investigation of methods and techniques for goal-driven data selection and reuse for exploiting both public data and private data. The project studies the future perspective of using such novel data analysis techniques as diagnostic and guidance tools for domain experts and end users.

Project Website

 http://kdrive-project.eu/

Relevant Papers

P. Alexopoulos, B. Villazon-Terrazas, J.Z. Pan (2013), “Towards Vagueness-Aware Semantic Data, In Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web, Sydney, Australia,  2013.

P. Alexopoulos, J.M. Gómez-Pérez (2013), “Towards Purposeful Reuse of Semantic Datasets Through Goal-Driven Summarization”, Proceedings of the 7th International Conference on Advances in Semantic Processing (SEMAPRO 2013), Porto, Portugal, September 29- October 3, 2013

Relevant Presentations

Categories: Projects

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