Databases and information systems IV : selected papers from the Seventh International Baltic Conference, DB & IS'2006

301 Pages·2007·4.022 MB·English

by  Olegas Vasilecas, J Eder, Albertas Caplinskas

Databases and Information
Systems IV
Selected Papers from the Seventh International Baltic Conference
DB&IS’2006
Edited by
Olegas Vasilecas
Vilnius Gediminas Technical University, Lithuania
Johann Eder
University of Vienna, Austria
and
Albertas Caplinskas
Institute of Mathematics and Informatics, Lithuania
Amsterdam • Berlin • Oxford • Tokyo • Washington, DC
© 2007 The authors and IOS Press.
All rights reserved. No part of this book may be reproduced, stored in a retrieval system,
or transmitted, in any form or by any means, without prior written permission from the publisher.
ISBN 978-1-58603-715-4
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v
Conference Committee
Advisory Committee
Janis Bubenko, Royal Institute of Technology, Sweden
Arne Solvberg, Norwegian University of Science and Technology, Norway
Programme Co-Chairs
Albertas Caplinskas, Institute of Mathematics and Informatics, Lithuania
Johann Eder, University of Vienna, Austria
Olegas Vasilecas, Vilnius Gediminas Technical University, Lithuania
Programme Committee
Witold Abramowicz, Poland Marite Kirikova, Latvia
Viktor Aleksejev, Byelorussia Gábor Knapp, Hungary
Majed Al-Mashari, Saudi Arabia Christian Koncilia, Austria
Marko Bajec, Slovenia Manolis Koubarakis, Greece
Janis Barzdins, Latvia John Krogstie, Norway
Maria Bielikova, Slovakia Rein Kuusik, Estonia
Juris Borzovs, Latvia Sergej Kuznetsov, Russia
Sjaak Brinkkemper, The Netherlands Patrick Lambrix, Sweden
Bostjan Brunen, Slovenia Michael Lang, Ireland
Janis A. Bubenko, Sweden Pericles Loucopoulos, UK
Rimas Butleris, Lithuania Audrone Lupeikiene, Lithuania
Sharma Chakravarthy, USA Kalle Lyytinen, USA
Lawrence Chung, USA Leszek Maciaszek, Australia
Cesar Alberto Collazos, Colombia Yannis Manolopoulos, Greece
Jose Cordeiro, Portugal Rainer Manthey, Germany
Heitor Augustus Xavier Costa, Brazil Saulius Maskeliunas, Lithuania
Bogdan Czejdo, USA Mihhail Matskin, Sweden
Oguz Dikenelli, Turkey Kai Mertins, Germany
Dale Dzemydiene, Lithuania Audris Mockus, USA
Hans-Dieter Ehrich, Germany Lina Nemuraite, Lithuania
Andre Flory, France Jorgen Fischer Nilsson, Denmark
Maria Grazia Fugini, Italy Kjetil Norvag, Norway
Franca Garzotto, Italy Boris Novikov, Russia
Janis Grundspenkis, Latvia Algirdas Pakstas, UK
Giancarlo Guizzardi, Italy Oskar Pastor, Spain
Hele-Mai Haav, Estonia Jaan Penjam, Estonia
Juhani Iivari, Finland Klaus Pohl, Germany
Mirjana Ivanovic, Montenegro Jaroslav Pokorny, Czech Republic
Leonid Kalinichenko, Russia Henrikas Pranevicius, Lithuania
Ahto Kalja, Estonia Boris Rachev, Bulgaria
Audris Kalnins, Latvia Daniela Rosca, USA
Gunter Saake, Germany Ernest Teniente, Spain
Simonas Saltenis, Denmark Bernhard Thalheim, Germany
vi
Klaus Dieter Schewe, New Zealand Enn Tyugu, Estonia
Joachim Schmidt, Germany Irma Valatkaite, Lithuania
Timothy K. Shih, Taiwan Gottfried Vossen, Germany
Rimvydas Simutis, Lithuania Benkt Wangler, Sweden
Guttorm Sindre, Norway Robert Wrembel, Poland
Eva Söderström, Sweden Mudasser Wyne, USA
Arne Solvberg, Norway Tatyana Yakhno, Turkey
William Song, UK Arkady Zaslavsky, Australia
Janis Stirna, Sweden Roberto Zicari, Germany
Julius Stuller, Czech Republic
Additional Referees
Raman Adaikkalavan, USA Marion Lepmets, Estonia
Rose-Mharie Ahlfeldt, Sweden Carolin Letz, Germany
Andrzej Bassara, Poland Alexandros Nanopoulos, Greece
Sebastian Bossung, Germany Apostolos Papadopoulos, Greece
Xiaofeng Du, United Kingdom Bronius Paradauskas, Lithuania
Silke Eckstein, Germany Aida Pliuskeviciene, Lithuania
Hugo Estrada, Mexico Regimantas Pliuskevicius, Lith.
Miguel Garcia, Germany Ingo Schmitt, Germany
Joe Geldart, United Kingdom Joachim Schwieren, Germany
Martin Henkel, Sweden Hans-Werner Sehring, Germany
Jesper Holgersson, Sweden Mattias Strand, Sweden
Maik Kollmann, Germany Aditya Telang, USA
Andreas Kupfer, Germany Roland Turba, Germany
Dejan Lavbič, Slovenia Karol Wieloch, Poland
Marek Lehmann, Austria Damjan Vavpotič, Slovenia
Kira Vyatkina, Russia
Organising Chair
Olegas Vasilecas, Information Systems Research Laboratory, Vilnius Gediminas
Technical University, Lithuania
Organising Committee
Algirdas Ciucelis, Vilnius Gediminas Technical University, Lithuania
Juris Borzovs, Institute of Mathematics and Computer Science, Latvia
Ahto Kalja, Institute of Cybernetics at TTU, Estonia
Virgilijus Sakalauskas, Vilnius University Kaunas Faculty of Humanities, Lithuania
Algirdas Pakstas, London Metropolitan University, UK
Adomas Svirskas, Vilnius University, Lithuania
Diana Bugaite, Vilnius Gediminas Technical University, Lithuania
Dale Dzemydiene, Institute of Mathematics and Informatics, Lithuania
Dalia Kriksciuniene, Vilnius University Kaunas Faculty of Humanities, Lithuania
Audrone Lupeikiene, Institute of Mathematics and Informatics, Lithuania
Saulius Maskeliunas, Institute of Mathematics and Informatics, Lithuania
Arunas Ribikauskas, Vilnius Gediminas Technical University, Lithuania
Rimvydas Simutis, Vilnius University Kaunas Faculty of Humanities, Lithuania
Sergejus Sosunovas, Vilnius Gediminas Technical University, Lithuania
Databases and Information Systems IV vii
O. Vasilecas et al. (Eds.)
IOS Press, 2007
© 2007 The authors and IOS Press. All rights reserved.
Preface
This volume contains the best papers presented at the 7th International Baltic Confer-
ence on Databases and Information Systems (BalticDB&IS’2006). The series of Baltic
DB&IS conferences has been initiated by Janis Bubenko jr. and Arne Solvberg in 1994.
The conferences are highly international and bring together academics and practitioners
from the entire world. They are organized by the Baltic countries in turn. The first con-
ference was held in Trakai (1994), then followed conferences in Tallinn (1996), Riga
(1998), Vilnius (2000), Tallinn (2002), Riga (2004), and again in Vilnius. The confer-
ence BalticDB&IS’2006 took place on July 3–6, 2006. It was organized by the De-
partment of Information Systems (Vilnius Gediminas Technical University) and Soft-
ware Engineering Department (Institute of Mathematics and Informatics). The confer-
ence has been approved by the IEEE Communication Society for Technical Co-
sponsorship.
The call for papers attracted 84 submissions from 21 countries. In a rigorous re-
viewing process the international program committee selected 48 papers for the presen-
tation at the Conference and 27 for publishing in the Proceedings published by IEEE.
After the Conference the program committee selected 20 best papers to be published in
this volume. All these papers have been extended significantly and rewritten com-
pletely. They have been reviewed by at least 3 reviewers from different countries who
evaluated their originality, significance, relevance, and presentation and found their
quality suitable for the publication in this volume. These papers present original results
in business modeling and enterprise engineering, database research, data engineering,
data quality and data analysis, IS engineering, Web engineering, and application of AI
methods. We hope that the presented results will contribute to the further development
of research in DB and IS field.
We would like to express our warmest thanks and acknowledgements to all the
people who contributed to BalticDB&IS’2006:
− the authors, who submitted papers to the conference,
− the members of the international program committee and the additional refe-
rees, who voluntarily reviewed the submitted papers in order to ensure the
quality of the scientific program,
− the sponsors of the conference, who made this conference possible,
− all the local organizing team voluntarily giving their time and expertise to en-
sure the success of the conference.
We express our special thanks to Audrone Lupeikiene for all his assistance during
the preparation of this volume.
Olegas Vasilecas
Johann Eder
Albertas Caplinskas
ix
Contents
Conference Committee v
Preface vii
Olegas Vasilecas, Johann Eder and Albertas Caplinskas
Invited Papers
Events and Rules for Java: Using a Seamless and Dynamic Approach 3
Sharma Chakravarthy, Rajesh Dasari, Sridhar Varakala and
Raman Adaikkalavan
On Ontology, Ontologies, Conceptualizations, Modeling Languages, and
(Meta)Models 18
Giancarlo Guizzardi
Pattern Repositories for Software Engineering Education 40
Hans-Werner Sehring, Sebastian Bossung, Patrick Hupe, Michael Skusa
and Joachim W. Schmidt
Business Modeling and Enterprise Engineering
A Technique for the Prediction of Deadline-Violations in Inter-Organizational
Business Processes 57
Johann Eder, Horst Pichler and Stefan Vielgut
Interactions at the Enterprise Knowledge Management Layer 72
Saulius Gudas and Rasa Brundzaite
Databases
Methods for a Synchronised Evolution of Databases and Associated Ontologies 89
Andreas Kupfer, Silke Eckstein, Britta Störmann, Karl Neumann and
Brigitte Mathiak
A Heuristic Approach to Fragmentation Incorporating Query Information 103
Hui Ma, Klaus-Dieter Schewe and Markus Kirchberg
Introducing Softness into Inductive Queries on String Databases 117
Ieva Mitasiunaite and Jean-François Boulicaut
Data Engineering
A Multiple Correspondence Analysis to Organize Data Cubes 133
Riadh Ben Messaoud, Omar Boussaid and Sabine Loudcher Rabaséda
x
Model-Driven Development for Enabling the Feadback from Warehouses and
OLAP to Operational Systems 147
Lina Nemuraite, Jurgita Tonkunaite and Bronius Paradauskas
Data Quality and Data Analysis
A Time-Series Representation for Temporal Web Mining Using a Data Band
Approach 161
Mireille Samia and Stefan Conrad
The Framework for Business Rule Based Software Modeling: An Approach
for Data Analysis Models Integration 175
Olegas Vasilecas and Aidas Smaizys
IS Engineering
Aspect-Oriented Use Cases and Crosscutting Interfaces for Reconfigurable
Behavior Modeling 189
Lina Nemuraite and Milda Balandyte
Integrated Enterprise Information Systems: Thinking in Component Concepts 203
Audrone Lupeikiene
Web Engineering
A Web Service-Oriented Architecture for Implementing Web Information
Systems 219
Flavius Frasincar, Geert-Jan Houben and Peter Barna
Adaptive Support of Inter-Domain Collaborative Protocols Using Web Services
and Software Agents 233
Adomas Svirskas, Michael Wilson, Bob Roberts and Ioannis Ignatiadis
Using a Rule Language for Capturing Semantics in Web-Based Systems 249
Tanel Tammet, Hele-Mai Haav, Vello Kadarpik and Marko Kääramees
Application of AI Methods
A Concept Map Based Intelligent System for Adaptive Knowledge Assessment 263
Alla Anohina and Janis Grundspenkis
Semantic Interoperability Between Functional Ontologies 277
Nacima Mellal, Richard Dapoigny and Laurent Foulloy
Principles of Model Driven Architecture in Knowledge Modeling for the
Task of Study Program Evaluation 291
Oksana Nikiforova, Marite Kirikova and Natalya Pavlova
Author Index 305
Invited Papers
Databases and Information Systems IV 3
O. Vasilecas et al. (Eds.)
IOS Press, 2007
© 2007 The authors and IOS Press. All rights reserved.
Events and Rules for Java: Using a
Seamless and Dynamic Approach
Sharma CHAKRAVARTHYa, Rajesh DASARIa, Sridhar VARAKALAa and
Raman ADAIKKALAVANb, 1
aITLab & CSE Department, The University of Texas at Arlington
bCIS Department, Indiana University South Bend
Abstract: Proponents of active systems have proposed Event-Condition-Action
(ECA) rules, a mechanism where behavior is invoked automatically as a response
to events but without user or application intervention. The environment (the
programming language and the operating system) in which a system is built
influences how the event detector is designed and implemented. Sentinel provided
active capability to an object-oriented database environment implemented in C++.
However, C++ environment had certain limitations that proved deterrent to
implementing some of the features of active capability. This paper discusses the
re-designing and implementation of the active subsystem in the Java environment.
Main motivations behind our objective of re-designing and implementing the
active subsystem in the Java environment include: i) to overcome the limitations of
the C++ environment, and ii) to exploit some of the capabilities provided by the
Java environment that are critical for an active system. It also provides a novel
approach for supporting the creation of rules, and composite and temporal events
dynamically at run time, which is inevitable for several classes of monitoring
applications. This avoids recompilation and restart of the system which are
inappropriate in many environments that require fine-tuning of rules on the fly. It
provides a generic set of classes that are designed to handle rules dynamically.
This set of generic classes is application-independent making the system a general-
purpose tool.
Keywords: ECA rules for Java, event detection graphs, dynamic events and rules
Introduction
Situations can be monitored by defining Event-Condition-Action rules on the events
that are of interest in the system. The imminent need for security in the real world has
led to the development of various applications ranging from Coast Patrolling
mechanisms to Network Management protocols. There is a need to continually monitor
some applications 24x7 which may be difficult if a user is in the loop. As an example,
radar personnel in a military environment have to constantly monitor air traffic.
Alternately, the ECA paradigm can be applied to monitor the radar and respond to
events without user intervention. An ECA rule consists of three components – an event,
a condition, and an action. According to the ECA rule semantics, whenever an event
occurs, a condition is checked and the action is carried out if the condition evaluates to
true. The behavior exhibited by applications by means of ECA rules, (i.e., an action

1 Corresponding Author: E-mail: [email protected]
4 S.Chakravarthyetal./EventsandRulesforJava
being carried out as a consequence of a certain event) is known as the active behavior.
Programming languages, database systems and GUIs are being enhanced to provide
explicit support for active behavior due to the large range of applications that naturally
express their semantics using this paradigm. Active behavior is also useful to those
applications that require monitoring situations and reacting to them without user or
application intervention. The process of incorporating active behavior entails the
following steps: i) defining the event and the rules associated with the event; ii)
detecting the event when it occurs; and iii) reacting to the event, i.e., executing rules
and carrying out the operations specified in the actions (rules) defined over the event.
As described in Anwar et al. [1], event detection is considerably complex for an object-
oriented environment and furthermore, compile and runtime issues need to be
addressed. Sentinel supports an expressive event specification language (termed Snoop
[2]), a Local Event Detector that detects events and a Rule Scheduler that schedules the
rules and executes them. Owing to the C++ implementation of OpenOODB (from
Texas Instruments), all the components of Sentinel were developed in C++. As a result,
it had a bearing on the active behavior supported, like the types of event parameters
allowed, how the condition and action parts of the rule were modeled.
The main aim of this paper is to design and develop a system that provides support
for events and rules in Java applications (whether it is a DBMS developed in Java or a
general Java application) using a seamless approach. This paper also discusses how
events and rules can be created and maintained dynamically. This paper addresses the
issues involved in the redesign of the subsystem that provides active capability while
moving from the C++ environment to the Java environment, as well as overcoming the
limitations of the C++ environment. Although both C++ and Java are object-oriented
programming languages, there are some fundamental differences in ideologies and
capabilities provided by them. For example, Java provides mechanisms to obtain some
dynamic information about the application objects during runtime whereas C++ does
not provide any such mechanism.
Outline: Section 1 summarizes the ECA rule semantics and event operators.
Section 2 describes related work. Section 3 explains the design issues, approach taken
and its rationale. Section 4 describes the implementation details and Section 5 has
conclusions.
1. ECA Rule Semantics
This section summarizes various Snoop event operators and rules and their associated
semantics described in [2, 3].
“An event is an instantaneous and atomic (happening completely or not at all)
occurrence”. For example, in the relational database domain, database operations such
as retrieve, insert, update, and delete can be defined as events. An event E is a function
from the time domain onto the Boolean values, True and False. The function is given
by
E(t) = True if an event of type E occurs at time point t
False otherwise
Aprimitive event is an event expression comprising a single event in the domain of
consideration. A composite event is defined recursively, as an event expression using
set of primitive event expressions, event operators, and composite event expressions
constructed up to that point. Furthermore, composite events can be detected in different