Discovering Scientific Relationship Paths using Linked Open Data

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2016 (EN)
Discovering Scientific Relationship Paths using Linked Open Data (EN)

Chatzimanolis, Charisios (EN)

School of Science and Technology, MSc in Information & Communication Technology Systems (EL)
Berberidis, C (EN)
Peristeras, V (EN)
Assoc. Prof. Bassiliades, Nick (EN)

This dissertation was written as a part of the MSc in ICT Systems at the International Hellenic University. The application that was implemented is able to find scientific paths between computer scientists’ semantic web profiles. It was created in order to highlight the importance of this field and contribute in the next major evolution in connecting information. The fields that where studied for this dissertation were the Semantic Web, the Information Retrieval process, the Open Linked Data as well as the RDF format of data and the SPARQL querying language. It is about a web application where the user gives as an input the names of two computer scientists. A connection with the DBLP data resources allows SPARQL queries to try and retrieve information about the scientific relationships of these two. The level of the relationship between them is ranked in three levels. At this point I would like to thank my supervisor Dr. Nick Bassiliades for the trust that he showed by assigning me for this dissertation. I would like to thank him for his contribution, the guidance and the assisting bibliography. (EN)


Διεθνές Πανεπιστήμιο της Ελλάδος (EL)
International Hellenic University (EN)



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