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Alumni Member

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Research Associate (Urban Data Mining)
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I started my PhD in KMi in October 2007.

My PhD research is in the Semantic Web field. In particular, I have investigated how to make explicit semantic relations between ontologies and evaluate their effects of "finding the most appropriate ontologies" through the Semantic Web search engine such as Watson.

My supervisors are Dr. Mathieu D'Aquin and Prof. Enrico Motta.

Keys: Semantic Web, Ontologies, Ontology Evolution, Semantic Relation Management, Semantic Web search engine, Background Knowledge, Knowledge Acquisition, Knowledge Reuse, Networked OntologiesTechnologies

Projects

NeOn

Technologies

DiscOU

KANNEL

Publications

 

Liu, S., Allocca, C., d'Aquin, M. and Motta, E. (2017) TAA: A Platform for Triple Accuracy Measuring and Evidence Triples Discovering, Demo at The International Semantic Web Conference 2017

Publications | Download PDF Publications | Visit External Site for Details  

Allocca, C., Adamou, A., d'Aquin, M. and Motta, E. (2016) SPARQL Query Recommendations by Example, Demo at Extended Semant Web Conference, The ESWC 2016 proceedings, Crete, Greece Demo at Extended Semant Web Conference, in eds. Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone Paolo Ponzetto, Christoph Lange​, The Semantic Web. Latest Advances and New Domains.

Publications | Download PDF  

d'Aquin, M., Allocca, C. and Collins, T. (2012) DiscOU: A Flexible Discovery Engine for Open Educational Resources Using Semantic Indexing and Relationship Summaries, Demo at International Semantic Web Conference, ISWC 2012

Publications | Visit External Site for Details  

Allocca, C., d'Aquin, M. and Motta, E. (2012) Impact of Using Relationships Between Ontologies to Enhance the Ontology Search Results, Extended Semantic Web Conference, In the Proceeding of the 9th Extended Semantic Web Conference, Crete, Greece

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

Allocca, C. (2011) Automatic Identification of Ontology Versions Using Machine Learning Techniques, Extended Semantic Web Conference

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