Advanced Topics in Database Research, Volume 5

Advanced Topics in Database Research, Volume 5

Copyright: © 2006 |Pages: 474

ISBN13: 9781591409359|ISBN10: 1591409357|EISBN13: 9781591409373|ISBN13 Softcover: 9781591409366

DOI: 10.4018/978-1-59140-935-9

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Siau, Keng, editor. Advanced Topics in Database Research, Volume 5. IGI Global, 2006. https://doi.org/10.4018/978-1-59140-935-9

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Siau, K. (Ed.). (2006). Advanced Topics in Database Research, Volume 5. IGI Global. https://doi.org/10.4018/978-1-59140-935-9

Chicago

Siau, Keng, ed. Advanced Topics in Database Research, Volume 5. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-935-9

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Advanced Topics in Database Research is a series of books on the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications.

Advanced Topics in Database Research, Volume 5 presents the latest research ideas and topics on database systems and applications, and provides insights into important developments in the field of database and database management. This book describes the capabilities and features of new technologies and methodologies, and presents state-of-the-art research ideas, with an emphasis on theoretical issues regarding databases and database management.

Table of Contents

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Front Materials

Title Page

Copyright Page

Book Series

Preface

Chapters

Analysis and Evaluation of Database Models

Chapter 1

A Rigorous Framework for Model-Driven Development (pages 1-27)

Liliana Favre

The model-driven architecture (MDA) is an approach to model-centric software development. The concepts of models, metamodels, and model transformations are at the core of MDA. Model-driven development (MDD) distinguishes different...

Chapter 2

Adoptng Open Source Development Tools in a Commercial Production Environment: Are We Locked In? (pages 27-40)

Anna Persson, Hendrik Gustavsson, Brian Lings, Bjorn Lundell, Anders Mattsson, Ulf Arlig

Many companies are using model-based techniques to offer a competitive advantage in an increasingly globalised systems development industry. Central to model-based development is the concept of models as the basis from which systems...

Chapter 3

Classification as Evaluation: A Framework Tailored for Ontology Building Methods (pages 41-62)

Sari Hakkarainen, Darijus Strasunskas, Lillian Hella, Stine Tuxen

Ontology is the core component in Semantic Web applications. The employment of an ontology building method affects the quality of ontology and the applicability of ontology language. A weighted classification approach for ontology...

Chapter 4

Exploring the Concept of Method Rationale: A Conceptual Tool to Understand Method Tailoring (pages 63-78)

Pär J. Aerfalk, Brian Fitzgerald

Systems development methods are used to express and communicate knowledge about systems and software development processes, that is, methods encapsulate knowledge. Since methods encapsulate knowledge, they also encapsulate rationale....

Chapter 5

Assessing Business Process Modeling Languages Using a Generic Quality Framework (pages 79-93)

Anna Gunhild Nysetvold, John Krogstie

We describe in this chapter an insurance company that has recently wanted to standardize on business process modeling language. To perform the evaluation, a generic framework for assessing the quality of models and modeling languages...

Chapter 6

An Analytical Evaluation of BPMN Using a Semiotic Quality Framework (pages 94-105)

Terje Wahl, Guttorm Sindre

Evaluation of modelling languages is important both to be able to select the most suitable languages according to the needs and to improve existing languages. In this chapter, business process modeling notation (BPMN) is presented...

Chapter 7

Objectification of Relationships (pages 106-123)

Terry Halpin

Some popular information-modeling approaches allow instances of relationships or associations to be treated as entities in their own right. Object-role modeling (ORM) calls this process “objectification” or “nesting.” In the unified...

Chapter 8

A Template-Based Analysis of GRL (pages 124-147)

Patrick Heymans, Germain Saval, Gautier Dallons

This chapter applies the template proposed by Opdahl and Henderson-Sellers to the Goal-oriented Requirements Engineering Language (GRL). It proposes a metamodel of GRL that identifies the constructs of the language and the links...

Database Designs and Applications

Chapter 9

Externalisation and Adaptation of Mult-Agent System Behavior (pages 148-169)

Liang Xiao, Des Greer

This chapter proposes the adaptive agent model (AAM) for agent-oriented system development. In AAM, requirements can be transformed into externalised business rules. These rules represent agent behaviours, and collaboration between...

Chapter 10

Reuse a Repository of Conceptual Schemas in a Large Scale Project (pages 170-186)

Carlo Batini, Manuel F. Farasi, Riccardo Grosso

This chapter describes a methodology and a tool for the reuse of a repository of conceptual schemas. Large amounts of data are managed by organizations, with heterogeneous representations and meanings. Since data are a fundamental...

Chapter 11

The MAIS Approach to Web Service Design (pages 187-204)

Marzia Adorni, Francesca Arcelli, Carlo Batini, Marco Comerio, Flavio De Paoli, Simone Grega, Paolo Losi

This chapter presents a first attempt to realize a methodological framework supporting the most relevant phases of the design of a value-added service. A value-added service is defined as a functionality of an adaptive and...

Chapter 12

Toward Autonomic DBMSs: A Self-Configuring Algorithm for DBMS Buffer Pools (pages 205-226)

Patrick Martin, Wendy Powley, Min Zheng

This chapter introduces autonomic computing as a means to automate the complex tuning, configuration, and optimization tasks that are currently the responsibility of the database administrator. We describe an algorithm called the...

Chapter 13

Clustering Similar Schema Elements Across Heterogeneous Databases: A First Step in Database Integration (pages 227-248)

Huimin Zhao, Sudha Ram

Interschema relationship identification (IRI), that is, determining the relationships among schema elements in heterogeneous data sources, is an important first step in integrating the data sources. This chapter proposes a cluster...

Chapter 14

An Efficient Concurrency Control Algorithm for High-Dimensional Index Structures (pages 249-272)

Seok Il Song, Jae Soo Yoo

This chapter introduces a concurrency control algorithm based on link-technique for high-dimensional index structures. In high-dimensional index structures, search operations are generally more frequent than insert or delete...

Database Design Issues and Solutions

Chapter 15

Modeling Fuzzy Information in the IFO and Relational Data Model (pages 273-293)

Z. M. Ma

Computer applications in non-traditional areas have put requirements on conceptual data modeling. Some conceptual data models, being the tool of design databases, have been proposed. However, information in real-world applications is...

Chapter 16

Evaluating the Performance of Dynamic Database Applications (pages 294-319)

Zhen He, Jerome Darmont

This chapter explores the effect that changing access patterns has on the performance of database management systems. Changes in access patterns play an important role in determining the efficiency of key performance optimization...

Chapter 17

MAMADAS: A Mobile Agent-Based Secure Mobile Data Access System Framework (pages 320-347)

Yu Jiao, Ali R. Hurson

Creating a global information-sharing environment in the presence of autonomy and heterogeneity of data sources is a difficult task. When adding mobility and wireless media to this mix, the constraints on bandwidth, connectivity, and...

Chapter 18

Indexing Regional Objects in High-Dimensional Spaces (pages 348-373)

Byunggu Yu, Ratko Orlandic

Many spatial access methods, such as the R-tree, have been designed to support spatial search operators (e.g., overlap, containment, and enclosure) over both points and regional objects in multi-dimensional spaces. Unfortunately...

Semantic Database Analysis

Chapter 19

A Concept-Based Query Language Not Using Proper Association Names (pages 374-400)

Vladimir Ovchinnikov

This chapter is focused on a concept-based query language that permits querying by means of application domain concepts only. The query language has features making it simple and transparent for end-users: a query signature...

Chapter 20

Semantic Analytics in Intelligence: Applying Semantic Association Discovery to Determine Relevance of Heterogeneous Documents (pages 401-419)

Boanerges Aleman-Meza, Amit P. Sheth, Devanand Palaniswami, Matthew Eavenson, I. Budak Arpinar

We describe an ontological approach for determining the relevance of documents based on the underlying concept of exploiting complex semantic relationships among real-world entities. This research builds upon semantic metadata...

Chapter 21

Semantic Integration in Multidatabase Systems: How Much Can We Integrate? (pages 420-439)

Te-Wei Wang, Kenneth E. Murphy

This chapter reviews briefly the semantic integration issues in multidatabase development and provides a standardized representation for classifying semantic conflicts. We begin by summarizing the methods and issues in multidatabase...

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