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George A. Vouros

Researcher at University of Piraeus

Publications -  212
Citations -  2668

George A. Vouros is an academic researcher from University of Piraeus. The author has contributed to research in topics: Ontology (information science) & Process ontology. The author has an hindex of 25, co-authored 202 publications receiving 2304 citations. Previous affiliations of George A. Vouros include University of the Aegean.

Papers
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Journal ArticleDOI

Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids

Panagiotis Kofinas, +3 more
- 01 Jun 2018 - 
TL;DR: Experimental results highlight both the effectiveness of individual agents to control system components, as well as the effective of the multi-agent system to guarantee electricity supply and increase the reliability of the microgrid.
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Summarization system evaluation revisited: N-gram graphs

George Giannakopoulos, +3 more
- 13 Oct 2008 - 
TL;DR: A novel automatic method for the evaluation of summarization systems, based on comparing the character n-gram graphs representation of the extracted summaries and a number of model summaries, which appears to hold a level of evaluation performance that matches and even exceeds other contemporary evaluation methods.
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Towards automatic merging of domain ontologies: The HCONE-merge approach

Konstantinos Kotis, +2 more
- 01 Jan 2006 - 
TL;DR: The level of human involvement required for mapping concepts of the source ontologies to their intended meanings is explored and it is concluded that, although an effective fully automated process is not attainable, the process can be carried out efficiently with minimum human involvement.
Proceedings Article

Results of the ontology alignment evaluation initiative 2009

Jérôme Euzenat, +18 more
TL;DR: Ontology matching consists of finding correspondences between ontology entities OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases Test cases can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modalities.
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A reinforcement learning approach for MPPT control method of photovoltaic sources

Panagiotis Kofinas, +4 more
- 01 Aug 2017 - 
TL;DR: In this article, a Markov Decision Process (MDP) model for the maximum power point tracking (MPPT) photovoltaic process is defined and an RL algorithm is proposed and evaluated on a number of photivoltaic sources.