Information Retrieval: Analysing Models and Experiments
Associate Professor, Deputy Dean of Research
CentraleSupélec, Université Paris-Saclay, France
Abstract: The long history of Information Retrieval started in the late 1950s and is growing continuously with the increase in processor speed and storage capacity. Online news websites are becoming one of the most popular and influential social media platforms allowing people to easily access information about daily life topics, share their opinions on different issues, and give feedback on published content. Published news requires effective recommendation techniques that help users to find interesting news articles that match with their interests. We investigated a diversification model in order to exploit the user-generated-content and extract valuable information about the domains of interest of users, their political orientation, and their preferences. We are exploring new theoretical models using non classical vector spaces, such as quantum models, in order to capture the uncertain and probabilistic features behind the intention and the non-explicit semantics of text.
Biography: Dr. Bich-Liên DOAN received her PhD in Computer Science in 2000. Since 2001, she has been a teacher and researcher in Computer Science at CentraleSupélec, in Gif-sur-Yvette, France. Since 2008, she is Deputy Dean of Research at CentraleSupélec. Her main interest domain is information retrieval, particularly the structural and link analysis. Her current research is related to contextual and more particularly personalized information retrieval. She is interested in new models from semiotics and quantum mechanics that can help in representing information. She co-organized in 2005 and 2007 the context-based information retrieval workshop held in conjunction with the international “Context” conference. She co-organized in 2008, 2009, and 2010 the Contextual Information Access, Seeking and Retrieval Evaluation (CIRSE) Workshop in conjunction with the European Conference on Information Retrieval (ECIR). She has authored forty papers.
Smart Cities Need Smart Citizens: An Internet of Things Approach to Support Cyberphysical Learning of Digital Smart Citizens
University of Skövde, Sweden
Abstract: The concept of Smart Cities is an emerging social and technology innovation, attracting large public and private investments at a global scale, arguing for the effective exploitation of digital technologies to drive sustainable innovation and well-being for citizens. However, these investments in infrastructure have yet to be systematically complemented with efforts to prepare the human capital of such cities in terms of core competences needed for driving financial and societal sustainability. Therefore, currently, there is limited understanding on which approaches to use for cultivating such Digital Smart Citizenship competences, that are essential to holistically introduce Smart Cities in the fabric of society. In this context, this keynote introduces Cyberphysical learning as a generic overarching model to cultivate Digital Smart Citizenship competences, capitalizing and extending on an overview of existing case studies and approaches for developing such competences. The proposed approach exploits the potential of Internet of Things technologies and induced data streams to create authentic education experiences, where learning meets daily life in smart cities context. Proof-of-concept case studies of the proposed cyberphysical learning approach will be presented, to illustrate the transformation of energy management brought by IoT in the context of connected-households. Finally, the keynote reports on the findings of user surveys for eliciting their attitudes to engage with cyberphysical learning environments as a lever to enhance their digital smart citizenship competences.
Biography: Dr. Yacine ATIF is an Associate Professor at Skövde University in Sweden since January 2016. He received his PhD degree in Computer Science from Hong Kong University of Science and Technology (HKUST) in 1996. After graduation, he worked at Purdue University in USA as a Post-Doc and then joined a faculty position at Nanyang Technological University (NTU) in Singapore. Since 1999 he was affiliated with UAE University as a faculty, then Program Chair of Enterprise Systems at the College of Information Technology. Over the last decade, he led several initiatives that are designed to create a rich learning environment to help promote the transformation of education through the innovative use of Web technologies. He introduced the concept of “learning patterns”, bringing together ideas of educational design and architectural abstractions used in software engineering. Lately, his focus shifted towards the evolution of smart cities induced by the emergence of Internet of Things technologies. This evolution calls for new “cyberphysical learning” models in urban informatics environments, which instill new competences for the development of future digital smart citizens.