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My PhD research was in the Semantic Web field, focusing on Ontology Evolution starting from domain data. The aim was to decrease user involvement during the process of ontology evolution, through the reuse of various sources of background knowledge. I was also working on modeling and publishing linked data within http://data.open.ac.uk

Keys: Semantic Web, Linked Data, Ontology Evolution, Background Knowledge, Knowledge Reuse, Knowledge Acquisition, Networked Ontologies








Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Zablith, F., Fernandez, M. and Rowe, M. (2015) Production and consumption of university Linked Data, Interactive Learning Environments, 23, 1, pp. 55-78

Publications | Download PDF Publications | Visit External Site for Details  

Zablith, F., Antoniou, G., d'Aquin, M., Flouris, G., Kondylakis, H. and Motta, E. (2013) Ontology Evolution: A Process Centric Survey, The Knowledge Engineering Review

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Motta, E., Mulholland, P., Peroni, S., d'Aquin, M., Gomez-Perez, J., Mendez, V. and Zablith, F. (2011) A Novel Approach to Visualizing and Navigating Ontologies, International Semantic Web Conference, ISWC 2011, Bonn, Springer-Verlag

Publications | Download PDF Publications | Visit External Site for Details  

Zablith, F., d'Aquin, M., Brown, S. and Green-Hughes, L. (2011) Consuming Linked Data within a Large Educational Organization, Workshop: Second International Workshop on Consuming Linked Data (COLD) at International Semantic Web Conference (ISWC), Bonn, Germany

Publications | Download PDF Publications | Visit External Site for Details  

d'Aquin, M., Zablith, F. and Motta, E. (2011) wayOU -- Linked Data-Based Social Location Tracking in a Large, Distributed Organisation, Demo at 8th Extended Semantic Web Conference

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Tech Reports

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Evolva: Towards Automatic Ontology Evolution
Techreport ID: kmi-08-04
Date: 2008
Author(s): Fouad Zablith

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Marie Curie Early Stage Researcher

Knowledge Media Institute (KMi)
£45,463 per year plus allowances
Based in Milton Keynes
Full-time, Fixed-term contract for 36 months

The Knowledge Media Institute invites applications for an Early Stage Researcher to work in the area of bias in Artificial Intelligence. The researcher will work within the interdisciplinary...


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