Modern Technologies for Web-based Adaptive Systems
J.UCS Special Issue
Ngoc Thanh Nguyen (Institute of Control and
Systems Engineering, Wroclaw University of Technology, Poland)
thanh@pwr.wroc.pl
Janusz Sobecki (Institute of Applied Informatics,
Wroclaw University of Technology, Poland)
sobecki@pwr.wroc.pl
Abstract: The 1th Workshop on Modern Technologies for
Web-based Adaptive took place in Krakow, Poland, in June 2004. This
workshop was organized as a part of International Conference on
Computational Science. The Co-Chairs, and organizers of this workshop,
were Ngoc Thanh Nguyen and Janusz Sobecki. Adaptive systems are
nowadays used for continuous adjustment to changes in the
environment. The web-based systems environment contains users, system
platforms, and other elements to be controlled by the system. These
elements are not stable. Their characteristics change over time and
new elements appear in the scope of systems of this kind. As a
consequence, ordinary systems tend to be ineffective in such
circumstances. So there is a great need for systems that can adapt to
changes in the environment, especially users. Depending on the
characteristics of the system, different technologies for adaptability
can be used.
The aim of this workshop was to present and discuss the new
technologies being applied in web-based adaptive systems. The topics
were mainly related to adaptive techniques and theories applied in the
following areas: web browsing, information retrieval, user interfaces,
information management and e-Learning.
The scope of the workshop and this special issue also concerns some
theoretical methods that are applied in many adaptive web-based such
as systems of consensus methods in inconsistency of knowledge
processing and Petri nets approach for modeling and control of dynamic
systems.
The contributions were presented at the workshop by authors from
Europe, Asia and New Zealand. Authors of six selected papers have been
proposed to extend their papers and submit for this special
issue. Besides two other papers related to the subject also have been
considered. Each of submitted papers has been reviewed by at least two
reviewers and revised according two the reviewers' comments. Their
characteristics can be presented as follows:
Collaborative Web Browsing Based on Semantic Extraction of User
Interests with Bookmarks by Jason J. Jung (Intelligent E-Commerce
Systems Laboratory, School of Computer and Information Engineering,
Inha University, Korea). It presents a user-support mechanism based on
the sharing of knowledge with other users through the collaborative
Web browsing, focusing specifically on the user's interests extracted
from his or her own bookmarks. This system is composed of a
facilitator agent and multiple personal agents.
RankFeed - Recommendation as Searching without Queries: New Hybrid
Method of Recommendation by Maciej Kiewra (Fujitsu Services,
Spain). The paper describes RankFeed an adaptive method of
recommendation that benefits from similarities between searching and
recommendation. The principal factors determining the method's
behavior are: the quality document ranking, navigation patterns,
textual similarity and the list of recommended pages that have been
ignored during the navigation. In the paper the method RankFeed was
compared with PageRank and other classical approaches.
Consensus-Based Hybrid Adaptation of Web Systems User Interfaces by
Janusz Sobecki (Institute of Applied Informatics, Wroclaw University
of Technology, Poland). It this paper a hybrid adaptation of web-based
system user interfaces that uses consensus methods is presented. The
hybrid recommendation is a combination of the following methods:
demographic, content-based, and collaborative. Each of this method has
its specific advantages and disadvantages. The hybrid adaptation
enables overcoming disadvantages of each separate solution.
Creation of Information Profiles in Distributed Databases as a Game
Problem by Juliusz L. Kulikowski (Institute of Biocybernetics and
Biomedical Engineering Polish Academy of Sciences) In the paper a
problem of information profiles and information resources collection
formed in distributed data- and/or knowledge bases as a result of an
attempt to satisfy the information requirements of the customers
represented by their information profiles is considered. It is shown
that the interests of managers of data- and knowledge bases are not
fully convergent and that they participate in composite, partially
co-operative, partially non-co-operative n-persons games.
Processing Inconsistency of Knowledge on Semantic Level by Ngoc Thanh
Nguyen (Institute of Technical Computer Science, Wroclaw University of
Technology, Poland). In the paper problems of resolution of knowledge
inconsistency in many practical applications of computer systems are
addressed. The reason of this kind of inconsistency is included in the
possibilities of using varied resources of knowledge in realizing
practical tasks. Consensus methodology has been proved to be useful in
solving conflicts and should be also effective for knowledge
inconsistency resolution.
An Application of the DEDS Control Synthesis Method by Frantisek
Capkovic (Institute of Informatics, Slovak Academy of Sciences,
Bratislava, Slovakia) The paper presents an application of the method
suitable for modeling and control of general discrete event dynamic
systems (DEDS) to special kinds of communication systems is presented
in this paper. The approach is based on Petri nets (PN) and directed
graphs (DG).
Structural Tendencies in Complex Systems Development and their
Implication for Software Systems by Andrzej Gecow (Institute of
Paleobiology Polish Academy of Science, Poland), Mariusz Nowostawski
and Martin Purvis (University of Otago, Dunedin, New Zealand). In the
paper adaptive model inspired by biological phenomena is
presented. This model represents a generic complex system subjected to
long sequences of adaptive changes. The model was used for analysis of
development processes and also structural tendencies.
Some of these tendencies are not desirable, for example bloat of
the system. Some of the phenomena, however, show characteristics of
changes that improve the system. These characteristics can be applied
to optimization of self-producing and self-adapting algorithms of
self-maintaining complex software systems.
At last, The Language Grounding Problem and its Relation to the
Internal Structure of Cognitive Agents by Radoslaw Katarzyniak
(Institute of Control and Systems Engineering, Wroclaw University of
Technology, Poland). This paper presents an original approach to
modeling internal structure of artificial cognitive agents and the
phenomenon of language grounding. Some aspects of knowledge
consistency have been analyzed.
February, 2005
Ngoc Thanh Nguyen,Wroclaw, Poland
Janusz Sobecki, Wroclaw, Poland
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