Claudia d'amato

Claudia d'Amato's Home Page



Research interests:
Machine Learning - Knowledge Graphs - Semantic Web - Ontology Mining - Similarity and Dissimilarity Measures - Knowledge Representation - Approximate Reasoning - Description Logics



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Associate Professor

Dipartimento di Informatica - Room 520
Università degli Studi di Bari
Via Orabona,4 I-70125 Bari - Italy 

phone: +39 080 5443142
email: claudia.damato@uniba.it
ORCID:0000-0002-3385-987X
Foaf: Foaf View my Foaf profile (edited with FOAF-a-Matic)


Curriculum Vitae et Studiorum

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(updated on September 7th, 2016)

General Info

Since December 2019, I am associate professor in Computer Science at the University of Bari. I obtained the Italian Habilitation for the functions of Full Professor for the Scientific Sector "09/H1 - Information Processing Systems " on April 14th, 2021 and for the Scientific Sector "01/B1 - Informatics" on April 29th, 2021. Before I have been appointed as assistant professor at the University of Bari on January 2016 and as tenure track associate professor in Computer Science on December 2016. I have been research fellow at the University of Bari since May 2007 to December 2015. Along the years, I have been also invited researcher in several universities and international research institutes such as the University of Koblenz-Landau, the University of Oxford, INRIA, the University of Poznan, FBK among the others (click here for mode details). My research activity targets the integration of inductive and deductive reasoning in order to discover useful patterns in data sets with rich background knowledge (Knowledge Graphs and ontologies). In particular, I have pioneered the formalization and application of Machine Learning methods to Description Logics, with the final goal of improving ontology mining as used in the Semantic Web. I started my research on January 2004 at the University of Bari, where I obtained my Ph.D. on May 4th 2007, defending the dissertation titled "Similarity-based Learning Methods for the Semantic Web" (slides of presentation downloadable), supervised by Prof. Floriana Esposito.



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For more information, please do not hesitate to email me.



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