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Maria Vargas-Vera Member status icon

Research Fellow
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I received my PhD from The Department of Artificial Intelligence, Edinburgh University, Scotland UK.

I worked on the AKT Project (Advanced Knowledge Technologies). In particular, I worked in Information Extraction from text using domain specific templates, Ontology-Driven Question Answering, Automated Assessment of Student Essays and Semi-Automatic Construction of Ontologies from text.

I currently work in MCT http://www.computing.open.ac.uk/People/m.vargas-vera

Keys: Information Extraction, Question Answering, Automated Assessment, Semi-Automatic Construction of Ontologies from text and Ontology mapping.

Publications

 

Vargas-Vera, M. and Nagy, M. (2010) Towards Intelligent Ontology Alignment Systems for Question Answering: Challenges and Roadblocks, Journal of Emerging Technologies in Web Intelligence (JETWI), Vol. 2, Num. 3, pp. 244-257, ACADEMY PUBLISHER

 

Nagy, M. and Vargas-Vera, M. (2010) Reasoning Introspection and Visualisation Framework for Ontology Mapping on the Semantic Web, Studia Universitatis Babes-Bolyai Series Informatica, Volume LV, Number 2, pp. 57-68

 

Nagy, M. and Vargas-Vera, M. (2010) Towards an Automatic Semantic Data Integration: Multi-agent Framework Approach Towards an Automatic Semantic Data Integration: Multi-agent Framework Approach, in eds. Gang Wu, Book chapter in Semantic Web (ISBN:978-953-7619-54-1), pp. 107-134, In-Tech

 

Nagy, M. and Vargas-Vera, M. (2010) Multi-Agent Voting for Conflict Resolution - A Fuzzy Approach, Second International Conference on Agents and Artificial Intelligence (ICAART 2010), Valencia, Spain

 

Nagy, M. and Vargas-Vera, M. (2009) Reasoning Representation and Visualisation Framework for Ontology Mapping Using 3D modelling, The 4th edition of the Interdisciplinary in Engineering International Conference (Inter-Eng 2009), Targu Mures, Romania

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Knowledge Media Institute (KMi)
29,799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the...

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