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Software Prototyping in Data and Knowledge Engineering

Author: Giovanni Guida; Gianfranco Lamperti; Marina Zanella
Publisher: Dordrecht : Springer Netherlands, 1999.
Series: Mathematics and Its Applications, 497.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This monograph describes an innovative prototyping framework for data and knowledge intensive systems. The proposed approach will prove especially useful for advanced and research-oriented projects that aim to develop a traditional database perspective into fully-fledged advanced database approaches and knowledge engineering technologies. The book is organised in two parts. The first part, comprising chapters 1 to  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Giovanni Guida; Gianfranco Lamperti; Marina Zanella
ISBN: 9789401142670 940114267X
OCLC Number: 851378606
Description: 1 online resource (xvii, 408 pages).
Contents: 1 The Prototyping Approach to Software Development --
1.1 Linear Software Development --
1.2 Software Prototyping --
1.3 Iterative Software Development --
1.4 The Evolutionary Perspective of Software Development --
1.5 User-Centered Software Design and Development --
1.6 Software Prototyping Approaches --
1.7 Classification of Software Prototypes --
1.8 Software Prototyping and Prototypes. --
1.9 Goals of Software Prototyping. --
1.10 Prototyping and Software Evaluation. --
1.11 Involvement and Role of Users in Software Prototyping --
1.12 Misconceptions about Software Prototyping --
1.13 Rules of Software Prototyping --
1.14 Requirements for Software Prototyping Environments --
1.15 Object-Oriented Programming and Prototyping --
1.16 Object-Oriented CASE Tools for Prototyping --
2 Overview of Database Technology --
2.1 Extended Relational Databases --
2.2 Deductive Databases --
2.3 Object Databases --
2.4 Active Databases --
2.5 Temporal Databases --
2.6 Spatial Databases --
2.7 Multimedia Databases. --
2.8 Data Warehousing. --
2.9 Data Mining --
3 Overview of Knowledge-Based Technology --
3.1 Knowledge-Based Systems. --
3.2 The Challenge of Knowledge-Based Systems. --
3.3 Knowledge-Based Technology: Techniques, Tools and Methodologies --
3.4 KBS Techniques --
3.5 KBS Tools --
3.6 KBS Methodologies --
3.7 Beyond Knowledge-Based Technology: A knowledge Management Perspective --
4 Data and Knowledge Intensive Systems --
4.1 Computer Problem-Solving --
5 The Prototyping Hierarchy --
5.1 Approach and Architecture --
5.1.1 Star Architecture --
5.2 Reference Application. --
6 The Relational Layer --
6.1 Relational Paradigm --
6.2 Relational Prototyping Language --
6.3 Prototyping by Relational Techniques --
6.4 Prototyping the Relational Layer --
7 The Extended Relational Layer --
7.1 Extended Relational Paradigm --
7.2 Extended Relational Prototyping Language. --
7.3 Prototyping by Extended Relational Techniques --
7.4 Prototyping the Extended Relational Layer --
8 The Deductive Layer --
8.1 Deductive Paradigm --
8.2 Deductive Prototyping Language --
8.3 Prototyping by Deductive Techniques --
8.4 Prototyping the Deductive Layer --
9 The Object Layer --
9.1 Object Paradigm --
9.2 Object Prototyping Language. --
9.3 Prototyping by Object Techniques --
9.4 Prototyping the Object Layer. --
10 The Active Layer --
10.1 Active Paradigm --
10.2 Active Prototyping Language --
10.3 Prototyping by Active Techniques --
10.4 Prototyping the Active Layer --
11 Prototyping Techniques Integration --
11.1 Integrated Paradigm --
11.2 Integrated Prototyping Language --
12 Mapping Prototypes to Relational Databases --
12.1 Transforming Passive Rules into Active Rules --
12.2 Mapping Schemas. --
12.3 Mapping Declarative Expressions --
12.4 Mapping Procedural Code --
12.5 Mapping Nonrecursive Passive Rules --
12.6 Mapping Active Rules --
References.
Series Title: Mathematics and Its Applications, 497.
Responsibility: by Giovanni Guida, Gianfranco Lamperti, Marina Zanella.

Abstract:

Audience: This volume will be of interest to researchers in the field of databases and knowledge engineering in general, and for software designers and knowledge engineers who aim to expand their  Read more...

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