The sixth issue of ComSIS is in
front of you. I am glad to say that we have gained a
trust of the authors not only from the region, but
all over the world. I believe that we will keep the
continuity and strengthen its international
character. Also, it is my great pleasure to announce
that a new member joined ComSIS Consortium. Since
September 2006, the School of Computing form the
Union University of Belgrade has joined us, and
Prof. Stevan Milinković, the Dean of the School, has
become a member of the Managing Board. We hope that
his support will significantly contribute to the
ComSIS mission.
This
issue of ComSIS contains two invited, and four
regular research papers. The invited papers come
from the distinguished authors, Miha Grčar, Dunja
Mladenič, and Marko Grobelnik from the Jožef Štefan
Institute from Slovenia, and Jozo Dujmović and
Haishi Bai from the Department of Computer Science
of San Francisco State University. The authors state
that we live in a society in which computers and the
Internet are widely used for accessing different
kinds of information. Therefore, it is not enough
that computers are capable of processing and storing
huge amounts of data, but they also need to be
accessible to a wider community. In this way, one of
the important and even more interesting research
areas in computer science is the development of
natural, adaptive and intelligent interfaces and
search engines for accessing data. Another one is
the evaluation and selection of software systems,
which is a complex problem characterized by a large
number of heterogeneous inputs.
Miha
Grčar, Dunja Mladenič, and Marko Grobelnik in their
paper "User Profiling for the Web" address the
problem of personalized information delivery related
to the Web that is based on using profiling. They
analyze three main groups of approaches to Web
personalization: content-based filtering,
collaborative filtering and Web usage mining. They
provide an overview of them including recent
research results in the area with the emphases on
user profiling in the context of Semantic Web
applications. One of the conclusions is that the
user models are built automatically or
semi-automatically using machine learning and data
mining methods. One of the most important challenges
for building user-models is an efficient
semi-automatic mode, where only limited amount of
human time is available for providing answers to
different questions.
During
the last ten years the search technology has made a
dramatic progress and currently search engines are
the most influential Web tools. Jozo Dujmović and
Haishi Bai in their paper "Evaluation and Comparison
of Search Engines Using the LSP Method" focus on
building a comprehensive model for evaluation and
comparison of search engines based on the general
proprietary search technology (PST). The model
reflects the capability of search engines to satisfy
user requirements. The experimental part of the
paper includes the evaluation of four leading PST
search engines: Yahoo! Search, Ask, Google, and MSN.
The authors stress that the evaluation of search
engines is a complex software evaluation problem. It
includes a spectrum of functionality, usability and
performance inputs, including more than 80
individual quality attributes. They indicate the
necessity of developing a specialized tool for
measurement of response times, resource consumption,
and the quality of information retrieval.
As
a rule, we have at least one paper in each regular
issue devoted to the research in AI. In the paper "A
Comparison of the Bagging and the Boosting Methods
Using the Decision Trees Classifiers", Kristína
Machová, Miroslav Puszta, František Barčák, and
Peter Bednár present an
improvement of the precision of the classification
algorithm results. The authors focus on the bagging
and boosting methods in combination with the
decision trees in the role of particular
classifiers. This paper describes a set of
experiments with bagging and boosting in the task of
text categorisation. The results of performance
tests are presented. The authors conclude that the
bagging and boosting algorithms are suitable for
increasing the efficiency of the classification
algorithms, where boosting achieves better results
than bagging, which is a simpler one.
Grey
System theory is a new multidisciplinary theory
dealing with systems for which we lack information.
It is widely applied to solve the problems with
uncertainty, where extracting and generating
valuable information is needed. In the paper "Data
Mining Techniques Based on Grey System Theories for
Time Sequence Data", Liu Bin, Zhang Hui, Liu Sifeng
and Dang Yaoguo propose data mining methods for time
sequence based on the Grey system theories, and
thoughts on data mining with embedded knowledge.
The
next two papers represent the research area of
security and protection, as an important discipline
in computer science and IT industry.
Constant increase in use of
wireless networks created a need for strong safety
mechanisms. Radomir Prodanović and Dejan Simić in
their paper "Holistic Approach to Wep Protocol in
Securing Wireless Network Infrastructure" argue that
traditional mechanisms for
physical protection of wired networks cannot be
applied to protection of wireless networks.
Therefore, it is a necessary to create new
mechanisms for protection of wireless networks in
order to enable using wireless networks in a safe
way, with respect to accuracy and privacy. They
describe the Wired Equivalent Privacy (WEP) protocol
for protection of wireless networks, its security
deficiencies, as well as various kinds of attacks
that can jeopardize security goals. A summary of
security improvements of WEP protocol is given, and
the advantages of the new 802.11i standard are also
discussed.
Bojan
Jovičić and Dejan Simić, the authors of the paper
"Common Web Application Attack Types
and Security Using ASP.NET" focus on the
attacks against Web applications, either to gain
direct benefit by collecting private information, or
to disable target sites. They discuss the two most
common Web application attacks: SQL Injection and
Cross Site Scripting, and propose how to use ASP.NET
to provide Web applications security.
On
behalf of the ComSIS Consortium, I would like to
take this opportunity to give great thanks to the
reviewers and all of the authors for their
high-quality work, great efforts, and remarkable
enthusiasm.
Editor-in-Chief
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