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Keynote Presentation
Bio Mária Bieliková received her Master degree (with summa cum laude) in 1989 and her PhD. degree in 1995, both from the Slovak University of Technology in Bratislava. Since 2005, she has been a full-time professor at the same university. Her research interests are in the areas of ambient intelligence and web-based adaptive systems, user modeling, and especially the social dimension of personalized web-based systems. She leads Personalized Web research group at the Institute of Informatics and Software Engineering since 2004. The group is concerned to the new trends in design, development and use of adaptive social web-based systems with semantics, which allow personalized presentation of information in various domains. Mária Bieliková has (co-) authored five books, several teaching materials, more than 200 scientific papers mostly in international scientific journals and conferences. She is a member of the Editorial Board of the Journal of Web Engineering and Int. Journal of Intelligent Information and Database Systems. She has been the editor of 35 proceedings of scientific conferences, five of them published by Springer. She is senior member of ACM, senior member of IEEE and its Computer Society and a member of the executive committee of the Slovak Society for Computer Science.
The current Web has many aspects. It is no longer only a place for content presentation. The Web is more and more a place where we actually spend time performing various tasks, a place where we look for interesting information based on discussions, opinions of others, as well as a place where we spend part of our recreation and leisure time. In addition, the Web provides an infrastructure for applications that offer various services. In this paper we concentrate on representation and acquisition of lightweight semantics for the “wild” Web, which is a must if we want to shift to a “smarter” Web and web applications, which cope with dynamic content and take into account user features to deliver personalized experience. We already have mechanisms that infer recommendations for a particular user where the context is known and the content is described using a particular form of semantics (which is a case of only a few islands in the vast ocean of the Web). In moving to the “wild Web” we do not have many clues about the content itself. More often we have a picture of activities performed within particular content, which can help at least as well as the content itself. We present our proposal of lightweight semantics models together with their social enhancements and discuss some aspects of lightweight semantics acquisition on the “wild Web” as large and dynamic information space. We discuss examples of approaches to towards an improvement of fulfilling our information needs based on reasoning on semantic description of the web content. These examples are recent results originated from the PeWe (Personalized Web, pewe.fiit.stuba.sk) research group at the Institute of Informatics and Software Engineering at the Slovak University of Technology in Bratislava.
Bio
Nivio Ziviani has a Ph.D. in Computer Science from the University of
Waterloo, Canada, 1982. He is a Professor Emeritus at the Department
of Computer Science of the Federal University of Minas Gerais (UFMG),
Brazil, where he coordinates the Laboratory for Treating Information
(LATIN). He is a member of the Brazilian Academy of Sciences and of
the National Order of the Scientific Merit in the class Comendador. He
is a co-founder of Miner Technology Group, sold to Folha de São Paulo
/ UOL group in 1999, and Akwan Information Technologies, sold to
Google Inc. in 2005. He has co-authored of over 100 refereed papers
and 2 books in the areas of algorithm design and information
retrieval, the latter his primary area of research. He was General
Co-Chair of the 28th ACM SIGIR Conference on Research and Development
in Information Retrieval and co-founder of the International
Conference on String Processing and Abstract
In this talk we present the National Institute of
Science and Technology for the Web (InWeb). The InWeb mission is to
develop models, algorithms and technologies to contribute to the
integration of the Web with our society. As a result, we expect more
efficient and useful applications, so that the Web can become a vector
for social and economic changes in our country. In the InWeb
Institute, we see the Web as a system composed of multiple layers of
complex, dynamic and interdependent networks, where the term networks
refers to sets of relationships among people, information,
applications, software and hardware.
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