Databases and information systems II : fifth International Baltic Conference, Baltic DB&IS'2002, Tallinn, Estonia, June 3-6, 2002 : selected papers
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| 001 | 000000823229 | |
| 005 | 20030729113739 | |
| 008 | 021204s2002 ne a 000 0 eng | |
| 015 | ▼a GBA3-Z9388 | |
| 020 | ▼a 1402010389 | |
| 040 | ▼a UKM ▼c UKM ▼d OHX ▼d 211009 | |
| 049 | ▼a KUBA ▼l 121082130 ▼f 과학 | |
| 072 | 7 | ▼a QA ▼2 lcco |
| 082 | 0 4 | ▼a 005.74 ▼2 21 |
| 090 | ▼a 005.74 ▼b D2323 | |
| 245 | 0 0 | ▼a Databases and information systems II : ▼b fifth International Baltic Conference, Baltic DB&IS'2002, Tallinn, Estonia, June 3-6, 2002 : selected papers / ▼c edited by Hele-Mai Haav and Ahto Kalja. |
| 260 | ▼a Dordrecht : ▼a London : ▼b Kluwer Academic, ▼c 2002. | |
| 300 | ▼a xiv, 331 p. : ▼b ill. ; ▼c 25 cm. | |
| 504 | ▼a Includes index. | |
| 650 | 0 | ▼a Database management ▼v Congresses. |
| 650 | 0 | ▼a Information technology ▼v Congresses. |
| 700 | 1 | ▼a Haav, Hele-Mai. |
| 700 | 1 | ▼a Kalja, Ahto. |
| 711 | 0 | ▼a International Baltic Conference ▼n (5th : ▼d 2002 : ▼c Tallinn, Estonia) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.74 D2323 | 등록번호 121082130 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
Fifth International Baltic Conference, Baltic DB&IS'2002, Tallinn, Estonia, June 3-6, 2002
Selected Papers
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.
정보제공 :
목차
Conference Committee. Preface. Distributed Databases. Fragmentation of Object Oriented and Semi-structured Data; K.-D. Schewe. Value Reconciliation in Mediators of Heterogeneous Information Collections Applying Well-Structured Context Specifications; D.O. Briukhov, et al. Reactive Load Balancing in Distributed Database Management Systems; J.M. Muixi, et al. Undeniable Database Queries; A. Buldas, et al. TOLAP: Temporal Online Analytical Processing; O. Herden. XML and Databases. XML Data Warehouse: Modelling and Querying; J. Pokorny. The XML Query Execution Engine (XEE); D. Scheffner, J.-C. Freytag. Offering User Profile as an XML Web Service; A.M. Hartvigsen, et al. Information Systems Development. Shared Conceptualisation of Business Systems, Information Systems and Supporting Software; A. Caplinskas, et al. Concept of Intelligent Enterprise Memory for Integration of Two Approaches to Knowledge Management; J. Grundspenkis. Knowledge Representation in Advisory Information System of Crime Investigation Domain; D. Dzemydiene, et al. Information Systems and Software Engineering. Semantics for Managing Systems in Heterogeneous and Distributed Environment; G. Arnicans, G. Karnitis. Ontological Intermediation between Business Process Models and Software Components; T. Teschke. Extended Use of a Traceability Tool Within Software Development Project; M. Gills, M. Bogdanovs. Measurements and Risks Based Method to Support Software Development Process Planning; B. Apine. Reduction of UML Class Diagrams; G. Linde. Mobile Computing, Databases, and Agents. Incorporating Mobility into an Agent Interoperability-based Environment; M. Matskin, A. Zaslavsky. An ExtensibleStorage Manager for Mobile DBMS; E. Buchmann, et al. Towards Multi-Agent Models of Domain-Specific Languages; M. Meriste, et al. E-MATE: An Open Architecture to Support Mobility of Users; D. Carboni, et al. Specification and Implementation of Mobile-Agent-Based Data Integration; P. Ahlbrecht, J. Rover. Data Mining. Data Mining Techniques in Predicting Default Rates on Customer Loans; J. Zurada. Efficient Constraint-Based Sequential Pattern Mining Using Dataset Filtering Techniques; T. Morzy, et al. A Parametrizable Task-adaptive NE-Recognition System; J. Piskorski, et al. Author Index. Subject Index.
정보제공 :
