Poznań University of Technology and the City of Poznań invite to an open lecture in English by Prof. Asunción Gómez Pérez from Technical University of Madrid called Maximising (Re) Usability of Resources using Linked Data, which is going to take place on 12 May 2015 at 11: 15 a.m. in the Lecture and Conference Centre PP, ul. Piotrowo 2, room CW 8.
Prof. Dr. Asunción Gómez-Pérez is a Professor at Technical University In Madrid, the head of the Artificial Intelligence Department, the head of the Research Group of Ontology Engineering and graduate studies related to Computer Science. Before she started working at the Technical University of Madrid, she had an academic visit in the Systems Laboratory of The Knowledge Management at Stanford University.
Prof. Asunción Gómez-Pérez was the coordinator of several European research projects (SEALS, SemSorGrid4Env, Ontogrid, LEADER), a participant of more than 15 European projects, (Ready4SmartCities, NeOn, Monnet projects, Admire, Knowledge Web (Esperonto) and more than 50 national research and development projects or projects financed by the industry.
Her main research interest include ontology, linked data, Semantic web, and multilingualism. She has published over 150 scientific articles and two books on Ontology Engineering. Her works on Ontology Engineering, including the Methontology methodology and NeOn, are well - known around the world. She has supervised 17 Ph.D. dissertations. In 2015, she was awarded with the Ada Byron Award for female scientists in Spain.
The lecture by Prof. Asunción Gómez-Pérez is going to be related to the technologies that have developed rapidly in recent times, the so-called Linked Data. These technologies make it possible to connect large volumes of scattered data in the scale of world wide web and to create a huge global graph of knowledge. The lecture is going to present the base of these technologies and applications using open data in the field of cultural heritage and geographical data.
Prof. Asunción Gómez-Pérez is also going to present the ways of combining open linked data with licensed linked data.