Publié le 18/12/2011 à 13:29:59
Guest Speakers/ Conférenciers invités :
· For Conferences: 3 guest speakers
· For Tutorials: 3 guest speakers
By:
· Sihem AMER-YAHIA (QCRI - Qatar Computing Research Institute, Qatar & LIG - CNRS Grenoble, France)
· Jonathan CALOF (Telfer School of Management – University of Ottawa, Canada)
· Marie-Christine FAUVET (LIG - Université Joseph Fourier, France)
· Fabien GANDON (INRIA Sophia Antipolis, France)
· Anne LAURENT (LIRMM - Université Montpellier 2, France)
· Mokhtar AMAMI (Business Administration - Royal Military College of Canada, Kingston. Ontario, Canada)
Talk Information:
· Sihem AMER-YAHIA, QCRI - Qatar Computing Research Institute, Qatar & LIG - CNRS Grenoble, France.
Title: User and Topic Analytics on the Social Web of News.
Abstract:
The proliferation of social media is undoubtedly changing the way people produce and consume news online. Editors and publishers in newsrooms need to understand user engagement and audience sentiment evolution on various news topics. News consumers want to explore public reaction on articles relevant to a topic and refine their exploration via related entities, topics, articles and tweets. I will present SPAUE and MAQSA, two systems for social analytics on news. SPAUE analyzes traffic while MAQSA is content-centric. The core data model in SPAUE is a graph formed by the collective behavior of users represented as a set of actions such as browsing, posting an opinion and sharing news stories. SPAUE implements path traversal primitives that aggregate topics and actions for a given time period and along four dimensions: traffic source, visits, visitors, and geographic location. MAQSA provides an interactive topic-centric dashboard that summarizes social activity around news articles. The dashboard contains an annotated comment timeline, a social graph of comments, and maps of comment sentiment and topics. Both SPAUE and MAQSA rely on scalable algorithms that enable an interactive specification of topics, actions, and dates and dynamically process large collections of relevant articles.
Biography:
Sihem Amer-Yahia is Principal Research Scientist at Qatar Computing Research Center (QCRI) where she leads the Social Computing group. The mandate of the group is to develop scalable algorithms for organizing, mining and managing large volumes of social breadcrumbs left by millions of users online. One of the key projects is a collaboration with Al Jazeera and MIT to help news consumers and journalists organize and understand user-generated input in the form of comments on articles, tweets, Facebook likes and shares. Sihem has over 80 publications in major Web data management and social conferences. Her interests are at the intersection of large-scale data management and analytics, and social content at large. Prior to joining QCRI in May 2011, she was Senior Scientist at Yahoo! Research for 5 years and worked on revisiting relevance models and top-k processing algorithms on datasets from Delicious, Yahoo! Personals and Flickr. Before that, she spent 7 years at AT&T Labs in NJ, working on XML query optimization and XML full-text search. Sihem is editor of the W3C XML full-text standard. She is a member of the VLDB Endowment and the ACM SIGMOD executive committee. She is a senior ACM member and member of IEEE. Sihem regularly teaches graduate level courses, participates in research panels and chairs conferences. She also serves on the editorial boards of ACM TODS, the VLDB Journal and the Information Systems Journal. Sihem received her Ph.D. in Computer Science from Univ. Paris-Orsay and INRIA in 1999, and her Diplome d’Ingenieur from INI, Algeria in 1994.
· Jonathan CALOF, Telfer School of Management – University of Ottawa, Canada.
Title: Where competitive intelligence is going in North America – new frameworks and approaches.
Abstract:
Where competitive intelligence is going in North America – new frameworks and approaches. Combining Competitive Intelligence, Market Intelligencet, Foresight, and Business Analytics.
Competitive intelligence is evolving in North America and in other parts of the world. According to a recent Global Intelligence Study, the proportion of major companies around the world with systematic market intelligence has grown to 76%. Meanwhile related fields such as foresight and business intelligence are similarly growing and adopting within North America competitive intelligence terminology and techniques. Gartner group estimated that BI and Analytics was a 10.5 Billion dollar market and McKinsey estimated a shortage of 140,000-190,000 deep analysts and 1.5 million data savvy managers in the USA alone. The growth of these domains has led tdevelopment of an insight model that incorporates all these fields within the context of an outcome and decision making approach. The presentation will focus on how describing this integrated approach and how it is assisting with making better decisions. In addition, other CI trends in North America such as use of social networks and events will be discussed.
Biography:
Dr. Calof is recognized as one of the leaders in intelligence and business insight. An associate professor of International Business and Strategy at the Telfer School of Management at University of Ottawa, Dr. Calof combines research and consulting in competitive intelligence, technical foresight and management insight in the creation of the Universities management insight program. As well, he is a Board member for CASIS (Canadian Association of Security and Intelligence Studies and is also co-director of the Foresight Synergy Network.
Jonathan has given over 1000 speeches, seminars and keynote addresses around the world on intelligence and insight and has helped several companies and government agencies around the world enhance their intelligence capabilities. In recognition of his contribution to the competitive intelligence field, Jonathan was presented with Frost and Sullivan’s life time achievement award and was made a Fellow of the Society of Competitive Intelligence Professionals. He has also named Honorary Professor at Yunnan Normal University in China. He was appointed to the advisory board for the Russian Foresight Nanotechnology Committee and also was made an honorary member of the Russian Society of Competitive Intelligence Professionals. In Morocco he was recently appointed to the board of advisors for the newly created Centre en Intelligence Economique et Management Stratégique(CIE'MS/Center for Competitive Intelligence and Strategic Management.
Interest in his work has also resulted in several interviews on radio and in print around the world and has been featured in national publications as Forbes, Business Week, CIO Magazine, Financial Times, The National Post, Globe and Mail, Canadian Business, and others.
He is a prolific author with over 150 publications to his credit. As well, Jonathan is the author and co-editor of several books on competitive intelligence including co-editor of the Competitive Intelligence Foundation’s Conference and Trade Show Intelligence book. He also pens a column on event intelligence for competitive intelligence magazine. In addition to his involvement in the consulting and academic world, Dr. Calof is also a director with Success Nexus, a Malaysian biodiesel Company, RoboCoder, a Canadian software company, an Associate with the Estey Centre, and on the advisory board of Mempore, a Canadian cleantech company.
· Fabien GANDON, INRIA Sophia Antipolis, France.
Title: Semantic and social intraweb for corporate intelligence and watch.
Abstract:
Monitoring science and technological changes is a vital ability of today's organizations, yet the growing diversity of sources to track in each domain of interest remains a challenge for any organization. On the open web, online communities emerge and build directories of references in their domains of interest at an impressive speed and with very agile responses to changes in these domains. Inside companies there is a growing interest in importing the tools and practices that made the success of these online communities inside corporate information systems. Blogs and wikis are being set up in more and more intranets.
But, on the one hand, Web 2.0 tools exhibit limits when it comes to automating some tasks or controlling some processes, as usually required in a corporate environment. On the other hand, more structured information systems often suffer from usability and knowledge capture issues.
This talk will report on results of the ISICIL project studying and to experimenting with the usage of new tools for assisting corporate intelligence tasks. These tools rely on web 2.0 advanced interfaces (blog, wiki, social bookmarking) for interactions and on semantic web technologies for interoperability and information processing.
Biography:
Dr. Fabien Gandon is Senior Research Scientist in Informatics and Computer Science at INRIA and he is the deputy Leader for the Edelweiss project-team at the Sophia-Antipolis Research Center. He is also a member of the World-Wide Web Consortium where he participates in several standardization groups. His professional interests include: Web, Semantic Web, Social Web, Ontologies, Knowledge Engineering and Modelling, Mobility, Privacy, Context-Awareness, Semantic Social Network / Semantic Analysis of Social Network, Intraweb. He previously worked for the Mobile Commerce Laboratory of Carnegie Mellon in Pittsburgh. He published more than 40 articles in journals, books or conferences and has been a reviewer for more than 30 journals, conferences or workshops.
· Marcello La Rosa, NICTA Queensland Lab - Queensland University of Technology, Brisbane, Australia.
& Marie-Christine FAUVET, LIG - Université Joseph Fourier, France.
Title: The APROMORE Initiative.
Abstract:
Organizations put considerable e_orts in describing their operations in the form of business process models. Such models can be applied, for communication purposes, as blueprints for performance improvement projects, to guide the development of IT systems, and to check compliance with relevant quality standards. As organizations mature in their uptake of business process management, this leads to increasing numbers of business process models within organizations. The availability of large process model collections forms both a challenge and an opportunity. The challenge is how to keep track of the various models within the same collection, as they may refer to each other, mutually overlap, supersede one another, and evolve. The opportunity lies in exploiting this potentially rich source of information to create new models and support application scenarios that were unforeseen at the time of their conception.
In the light of this background, the APROMORE initiative1 was started in 2009 with the aim to catalyze research on the management of process model collections. The APROMORE initiative kicked o_ as a collaboration among four academic institutions: Queensland University of Technology (Australia), Eindhoven University of Technology (Netherlands), University of Tartu (Estonia) and Humboldt University of Berlin (Germany).
Later on, other universities joined the initiative, including Joseph Fourier University of Grenoble (France), University of Karshrule (Germany) and Vienna University of Economics (Austria). Moreover, Suncorp-Metway, one of the major insurance providers in Australia, sponsored the initiative within the context of a project co-funded with the Australian Research Council, which aims to achieve standardization and reuse in large process model collections.
The main objective of the APROMORE initiative is to design and develop the open source platform APROMORE2 [LRRvdA+11, FRS+10].
Beyond the typical features of a process model repository (e.g. model import and export), the APROMORE platform aims to provide various advanced features speci_cally designed for the management of large process model collections. These include features to _lter the repository and perform searches (e.g. by looking for similarities to an input model), to enhance the presentation of process model collections (e.g. by refactoring the process models), to design new process models (e.g by merging existing models that are similar to each other) and to evaluate existing ones (e.g. along their soundness property). At the time of writing, some of these features have already been implemented (e.g. similarity search and merging) while others are available as separate prototypes (e.g. querying and clone detection) which will be incorporated in the platform in the future.
1 : www.apromore.org
2 : http://code.google.com/p/apromore
References
[FRS+10] M.-C. Fauvet, M. La Rosa, M. Sadegh, A. Alshareef, R.M. Dijkman, L. Garc__a-Ba~nuelos, H.A. Reijers, W.M.P. van der Aalst, M. Dumas, and J. Mendling. Managing process model collections with apromore. In ICSOC, volume 6470 of Lecture Notes in Computer Science, pages 699{701, 2010.
[LRRvdA+11] M. La Rosa, H. A. Reijers, W. M. P. van der Aalst, R. M. Dijkman, J. Mendling, M. Dumas, and L. Garcia-Banuelos. APro-MoRe: An Advanced Process Model Repository. Expert Systems with Applications, 38(6), 2011.
Biography:
Marcello La Rosa is a Senior Lecturer with the Business Process Management (BPM) discipline at the Queensland University of Technology (QUT), Brisbane, Australia, and Research Fellow at the NICTA Queensland Lab. He obtained his PhD in Computer Science with QUT in 2009. His research interests embrace various topics in BPM, such as management of large process model collections, process modeling, con_guration and automation. He published over 40 papers and served as a reviewer for prestigious journals in computer science. Marcello also delivered numerous corporate trainings on BPM to practitioners of Australian organizations.
Marie-Christine Fauvet is Full Professor at Joseph Fourier University in Grenoble (France). She received a PhD in Computer Science in 1988. Her research interests include: object-oriented databases (versioning, schema evolution), temporal databases, composition and integration of servicebased information systems, and more recently business process models. She published 80 papers in books, journals and conferences and she regularly acts as a reviewer for conferences, journals and academic research programs.
· Anne LAURENT, LIRMM - Université Montpellier 2, France.
Title: A Tour of Gradual Patterns: Definitions and Computational Challenges.
Abstract:
Gradual patterns are patterns of the form "the more/less X, ... the more/less Y, ... the more/less Z, ... as for instance "the higher the speed, the higher the danger".
They have been used for many years in expert systems but have recently gained interest by the data mining community to be automatically discovered from large databases. Many applications can benefit from such patterns, e.g., biology, psychology, ...
In this talk, we will explore both the various ways of handling graduality and the computation issues. For this purpose, we will discuss some of the extensions of gradual patterns and the associated definitions: frequency computation, closed gradual patterns, fuzzy gradual patterns. We will also present how parallelization can help.
This is a joint work with University Paris 6, LIP6 (Marie-Jeanne Lesot and Maria Rifqi), and University Joseph Fourier, LIG (Alexandre Termier and Benjamin Negrevergne) and EFREI, LRIE (Nicolas Sicard).
Biography:
Anne Laurent is Full Professor at the University Montpellier 2, France, at the LIRMM laboratory. As a member of the TATOO research group, she works on data mining, pattern mining, tree mining, both for trends and exceptions detections and is particularly interested in the study of the use of fuzzy logic to provide more valuable results, while remaining scalable.
Anne Laurent teaches in the Computer Science Department at Polytech’Montpellier Engineering School at the University Montpellier 2, which prepares a 5-year Masters in computer science and management.
Anne Laurent is the Vice President of the University Montpellier 2, in charge of the Information System, and the head of the HPC@LR center of competence for High Performance Computing.
· Mokhtar AMAMI, Business Administration - Royal Military College of Canada, Ontario Canada
Title: Web 2.0, Enterprise 2.1 and Supply chain Management
Abstract:
The social media phenomenon, known as Web 2.0 applications, rises to prominence and becomes an imperative for supply chain. It provides an open channel for consumers to express their opinions, shopping experiences and knowledge with each others.
Web 2.0 applications are increasingly used on a daily basis by consumers. In contrast business enterprises are facing difficulties to embrace fully Web 2.0 applications to support activities along the supply chain. Partners along the supply chain require investments in social media beyond the initial awareness, and lead initiatives to improve visibility, speed, agility, adaptability, and customer satisfaction. Web 2.0 applications extend visibility beyond internal boundaries of the organization. It extends visibility across organizational boundaries and consequently fosters collaboration, information sharing and minimizes the effect of the Bullwhip Effect.
The tutorial is organized as follows: first the tutorial characterizes and compares Web 1.0 and Web 2.0 technologies and then Enterprise 1.0 and Enterprise 2.0. Second, the tutorial defines and underlines the challenges of supply chain and how Information and Communication Technologies (ICT) impacts supply chain. Third, the tutorial focuses on social media, known as Web 2.0 applications and its impacts on value proposition, customer value, value of information and inter-organizational relationships. More precisely, the tutorial articulates and discusses the issues related to the following questions:
Where social media fits in supply chain?
How to leverage social media across the entire supply chain?
Why an integrated approach to social media will help customer integration?
Finally, the tutorial suggests Enterprise 2.1 as an organization that deploys proper Web 2.0 technologies for external integrating activities along the supply chain. The tutorial will recommend appropriate actions that organizations can design and implement to become Enterprise 2.1.
Biography:
Dr. Mokhtar Amami is a Professor of Strategic Management of Technology, Management Information Systems (MIS) and eSupply Chain Management at the School of Business Administration (RMC, Kingston, Ontario, Canada). Dr Amami holds a MSc from Tunis University, a degree of Principal Engineer from ENSAE (Paris) and Doctorat D’État ès Sciences Économiques (Université of Paris I, Sorbonne). He received a Post.Doc. Scholarships from Social Sciences and Humanities Research council of Canada. He was a Visiting Fellow in MIS at the Sloan School of Management (MIT, Boston, USA). He was professor of Economics & Management at University of Quebec (Canada) and visiting Professor of MIS at University of Dauphine (Paris), at University of Nantes (Nantes, France) and at École Supérieure des Affaires (University Pierre Mendes France, Grenoble, France). He is the founder and was the chair of Congrès International PME et Entrepreneuriat (1993). He is a founding member of Association Tunisienne des Sciences de Gestion, and Revue Systèmes Information Management. He is actually member of the Board of Revue Systèmes d’Information & Management, Revue Internationale PME, Information & Management, and Social Management. He was member of the Board of Logistics Information Management Review and Revue des Sciences de Gestion. He was also a Reviewer for National Science Foundation on Decision Risk and Management Science (Washington, D.C. 1987-1990) and Hong Kong University Grants Committee (1997-present). He was the chair of AIM Conference (2002) and program chair of CIMRE Conference (Montreal, 1998) and the Mediterranean Conference of Information Systems (2008). He published 4 books in Microeconomics, information economics and many articles in variety of Journals such as Project management, International Journal of Management, Management Sciences and regional Development, Revue Systèmes Information Management, Annales Telecommunications etc. Dr Amami has two forthcoming books in “Supply Chain Management and eBusiness Expansion” and “Strategic Management of Technology”. His actual research interests cover eSupply Chain Management, Technology Based Entrepreneurship, Strategic Management of Technology, Technology Based Creative Clustering, and eLearning.
