Databases and Information Systems II
Fifth International Baltic Conference, Baltic DB&IS'2002 Tallinn, Estonia, June 3-6, 2002 Selected Papers
Published on 1. December 2010
Book
Paperback/Softback
XIV, 332 pages
978-90-481-6182-9 (ISBN)
Description
Databases and database systems in particular, are considered as kerneIs of any Information System (IS). The rapid growth of the web on the Internet has dramatically increased the use of semi-structured data and the need to store and retrieve such data in a database. The database community quickly reacted to these new requirements by providing models for semi-structured data and by integrating database research to XML web services and mobile computing. On the other hand, IS community who never than before faces problems of IS development is seeking for new approaches to IS design. Ontology based approaches are gaining popularity, because of a need for shared conceptualisation by different stakeholders of IS development teams. Many web-based IS would fail without domain ontologies to capture meaning of terms in their web interfaces. This volume contains revised versions of 24 best papers presented at the th 5 International Baltic Conference on Databases and Information Systems (BalticDB&IS'2002). The conference papers present original research results in the novel fields of IS and databases such as web IS, XML and databases, data mining and knowledge management, mobile agents and databases, and UML based IS development methodologies. The book's intended readers are researchers and practitioners who are interested in advanced topics on databases and IS.
More details
Edition
Softcover reprint of the original 1st ed. 2002
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XIV, 332 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
528 gr
ISBN-13
978-90-481-6182-9 (9789048161829)
DOI
10.1007/978-94-015-9978-8
Schweitzer Classification
Other editions
Additional editions
Hele-Mai Haav | Ahto Kalja
Databases and Information Systems II
Fifth International Baltic Conference, Baltic DB&IS'2002 Tallinn, Estonia, June 3-6, 2002 Selected Papers
E-Book
03/2013
Springer
€149.79
Available for download
Hele-Mai Haav | Ahto Kalja
Databases and Information Systems II
Fifth International Baltic Conference, Baltic DB&IS'2002 Tallinn, Estonia, June 3-6, 2002 Selected Papers
Book
11/2002
Kluwer Academic Publishers
€160.49
Shipment within 15-20 days
Content
Distributed Databases.- Fragmentation of Object Oriented and Semi-structured Data.- Value Reconciliation in Mediators of Heterogeneous Information Collections Applying Well-Structured Context Specifications.- Reactive Load Balancing in Distributed Database Management Systems.- Undeniable Database Queries.- TOLAP: Temporal Online Analytical Processing.- XML and Databases.- XML Data Warehouse: Modelling and Querying.- The XML Query Execution Engine (XEE).- Offering User Profile as an XML Web Service.- Information Systems Development.- Shared Conceptualisation of Business Systems, Information Systems and Supporting Software.- Concept of Intelligent Enterprise Memory for Integration of two Approaches to Knowledge Management.- Knowledge Representation in Advisory Information System of Crime Investigation Domain.- Information Systems and Software Engineering.- Semantics for Managing Systems in Heterogeneous and Distributed Environment.- Ontological Intermediation between Business Process Models and Software Components.- Extended Use of a Traceability Tool within Software Development Project.- Measurements and Risks Based Method to Support Software Development Process Planning.- Reduction of UML Class Diagrams.- Mobile Computing, Databases, and Agents.- Incorporating Mobility into an Agent Interoperability-based Environment.- An Extensible Storage Manager for Mobile DBMS.- Towards Multi-Agent Models of Domain-Specific Languages.- E-MATE: an Open Architecture to Support Mobility of Users.- Specification and Implementation of Mobile-Agent-Based Data Integration.- Data Mining.- Data Mining Techniques in Predicting Default Rates on Customer Loans.- Efficient Constraint-Based Sequential Pattern Mining Using Dataset Filtering Techniques.- A Parametrizable Task-adaptive NE-Recognition System.- Author Index.