Zlatan Dragisic defended his PhD Thesis on Completion of Ontologies and Ontology Networks

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Yesterday, on September 26, our PhD candidate Zlatan Dragisic defended successfully his thesis with the title “Completion of Ontologies and Ontology Networks.” The thesis makes several contributions: First, the problem of completing the is-a structure in ontologies is formalized as an abductive reasoning problem and the thesis introduces algorithms as well as systems for dealing with the problem. Regarding the completion of alignments between ontologies, the thesis provides a performance study of systems that participated in the Ontology Alignment Evaluation Initiative, and an approach to reduce the search space when generating such alignments. Next, the thesis reports a broad study of state-of-the-art ontology alignment systems in terms of user involvement during the completion process and, in particular, the impact of user errors in this process. Finally, the thesis introduces an approach to integrate ontology completion and ontology alignment into an existing ontology development methodology.

Zlatan’s work on the thesis was supervised by Patrick Lambrix, and co-supervised by Nahid Shahmehri, Marco Kuhlmann, and Fang Wei-Kleiner. The opponent was Erhard Rahm from the University of Leipzig, Germany. The examination committee consisted of Asuncion Gomez-Perez from Universidad Politecnica de Madrid, Jerome Euzenat from INRIA and Graham Kemp from Chalmers University of Technology. Magnus Bång from Linköping University was backup examination committee member.

Find the thesis in the Diva portal.

Well done Zlatan! Congratulations!

Emanuele Della Valle (Politecnico di Milano) will talk at LiU about Stream Reasoning

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On October 5 (Thursday), Emanuele Della Valle of Politecnico di Milano, Italy, will give a Semantic Web related talk at LiU. The title of his talk is:

Stream Reasoning: A Summary of Ten Years of Research and a Vision for the Next Decade

Abstract: Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.

Time and date: 9.00am, October 5, 2017

Location: Campus Valla, Building E, Room “Alan Turing”