Biography: Prof. Ben-Othman received his B.Sc. and M.Sc. degrees both in Computer Science from the University of Pierre et Marie Curie, (Paris 6) France in 1992, and 1994 respectively. He received his PhD degree from the University of Versailles, France, in 1998. He is currently full professor at the University of Paris 13 since 2011 and member of L2S lab at CentraleSupélec. Dr. Ben-Othman's research interests are in the area of wireless ad hoc and sensor networks, VANETs, IoT, performance evaluation and security in wireless networks in general. He was the recipient of the IEEE comsoc Communication Software technical committee Recognition Award in 2016, the IEEE computer society Meritorious Service Award in 2016, and he is a Golden Core Member of IEEE Computer Society. He is currently in steering committee of IEEE Transaction on Mobile computing (IEEE TMC), an editorial board member of several journals (IEEE COMML, JCN, IJCS…). He has also served as TPC Co-Chair for IEEE Globecom and ICC conferences and other conferences as (IWCMC, VTC'14, ComComAp, ICNC, WCSP, Q2SWinet, P2MNET, WLN,....). He is the chair of the IEEE Ad Hoc and sensor networks technical committee since January 2016, he was previously the vice chair and secretary for this committee. He has been appointed as IEEE comsoc distinguished lecturer since 2015 where he did several tours all around the world. He is member of IEEE technical services board since 2016.
Abstract: Nowadays the organizations cannot create value without a efficient management of their knowledge and the development of their creativity and innovation processes. In a other hand, knowledge is created by people which have different roles, social position and point of views and most of the time work together in distributed environments by using Web technologies. In this talk, I will present how to model knowledge in the organizations in order to take into account of the social and cooperative aspects of the actors. I will also present how to build domain ontologies from such organizational models. These models are also used to design Multi-Agent Systems dedicated to knowledge management and capable to analyze, handle, explore and reuse knowledge thanks to Web technologies. I will describe the use of these research models in the context of industrial projects.
Biography: Davy Monticolo is an Associate Professor in the ERPI Laboratory, University of Lorraine, Nancy, France. He teaches Knowledge Engineering, Web Intelligence and Agile Project Management at the Department of Innovation and Industrial Engineering. He got his HDR in December 2015 at the University of Lorraine and he received his Ph.D. (2008) in the University of Technology of Belfort-Montbélaird (France). His research interests are: Web Intelligence, Multi-Agents Systems, Knowledge Engineering and Modeling, Semantic Web and Ontologies used to design knowledge based systems. He is a member of the board of the French Research Association to promote Artificial Intelligence (AFIA). He is also the chair of the IEEE International Workshop KARE (Knowledge Acquisition Reuse & Evaluation) in conjunction with the SITIS conference since 2008.
Abstract: Ultrasound reporting plays an important role in diagnosis as images produced during an ultrasound examination do not give the whole view of the medical conditions. However, in practice there are many issues that are inherent to ultrasound reporting and the most important was identified to be the lack of standardisation when producing these reports. There is a resistance to change from some radiologists preferring the free writing style, making any attempt to computerise the processing of these reports difficult. This research explores the possibility of using Rhetorical Structure Theory (RST) together with a domain ontology to transform free-form ultrasound reports into a structured form. It discusses a new approach in segmenting and identifying rhetorical relations that are more applicable to ultrasound reports from classical RST relations. The approach was evaluated on a sample ultrasound reports where the system’s parsing was compared to the manual parsing performed by experts. The results show that discourse parsing using RST in ultrasound reports can be performed effectively using the support of a domain ontology. The results also demonstrate that the transformation of free-form ultrasound reports into a structured form can be performed with the support of RST relations identified and the domain ontology.Biography: Professor Farid Meziane obtained a PhD in Computer Science from the University of Salford on his work on producing formal specification from Natural Language requirements. He is currently holding a chair in Data and Knowledge Engineering and is the director of the informatics research centre at the University of Salford, UK. He has authored over 100 scientific papers and participated in many national and international research projects. He is the co-chair of the international conference on application of Natural Language to information systems and in the programme committee of over ten international conferences and in the editorial board of three international journals. He was awarded the Highly Commended Award from the Literati Club, 2001 for his paper on Intelligent Systems in Manufacturing: Current Development and Future Prospects. His research expertise includes Natural Language processing, semantic computing, data mining and big data and knowledge Engineering.