Semantic integrity constraints in knowledge-based database design systems

Abstract The goal of “intelligent” computer-aided-design (CAD) systems is to provide greater support for the process of design, as distinguished from drafting and analysis. More supportive design systems should provide a quick and simple means of creating and modifying design configurations, automating evaluation procedures (e.g., for manufacturing), and automating interfaces to analysis procedures. In this paper we are concerned with the issues of representing in-progress designs so that such goals can be met. A feature-based representation is proposed in which features are defined as possessing not only form but also certain designer intentions regarding geometric relationships. A working experimental version of a design-with-features system using this representation for thin-walled components illustrates its use in composing a design as a configuration of feature-forms, in modifying the design geometry through automatic, intelligent incorporation and propagation of designer-initiated geometry changes, and in providing for the generation of user-defined features. In contrast to constraint-driven simultaneous equation solving methods, this system uses an intent-driven knowledge-based method to propagate and incorporate geometry modifications not only in fully-constrained designs, but also in over- and under-constrained designs. Issues of manageability, extensibility, and computationally efficiency were considered in the development of the core services of the system.

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Knowledge-Based Diagnostics and Design Systems

ASME 1991 Computers in Engineering Conference: Volume 1 — Artificial Intelligence; Expert Systems; CAD/CAM/CAE; Computational Fluid/Thermal Engineering ◽

10.1115/cie1991-0003 ◽

1991 ◽

Author(s):

Sherman S. Wang

Keyword(s):

Disk Drive ◽

Industrial Applications ◽

Survey Study ◽

New Techniques ◽

Knowledge Based ◽

Industrial Companies ◽

Intelligent Software ◽

Design And Manufacturing ◽

Tightly Coupled ◽

Design Systems

Abstract Substantial literature using knowledge-based system techniques has been accumulated over the past few years in the fields of diagnostics, modeling and design. Many of these techniques have been successfully used by a wide variety of industrial companies. The purpose of this paper is to present a summary of these new techniques, and an examination of their advantages and limitations for industrial applications. These techniques will help to insure the integrity of future concurrent design and manufacturing development. The purpose of our survey study is to show that the design and modeling of product functions and their associated diagnostic processes should be tightly coupled. The design and diagnostic tasks should be supported by integrated and intelligent software. Many examples of knowledge-based systems for disk drive diagnostics and design will also be included.

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Incremental Learning for Improved Decision Support in Knowledge Based Design Systems

Artificial Intelligence in Design ’92 ◽

10.1007/978-94-011-2787-5_36 ◽

1992 ◽

pp. 719-738 ◽

Cited By ~ 2

Author(s):

K. Milzner ◽

A. Harbecke

Keyword(s):

Decision Support ◽

Incremental Learning ◽

Knowledge Based ◽

Design Systems ◽

Knowledge Based Design

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Biography as Scenario

Advances in Web Technologies and Engineering - Dynamic Knowledge Representation in Scientific Domains ◽

10.4018/978-1-5225-5261-1.ch011 ◽

2018 ◽

pp. 261-269

Author(s):

Maria Mandrik ◽

Sergey Arustamov

Keyword(s):

Knowledge Representation ◽

Database Design ◽

Knowledge Based System ◽

Knowledge Based ◽

Primary Key ◽

Descriptive Knowledge ◽

Data Scheme

Purely descriptive knowledge appears to have a structure that can be formalized using the newly developed tool of dynamic knowledge representation, the event bush. In its framework, a singular biography can be transformed into a knowledge-based system with an opportunity of creation of a database. However, the very approach to the database design may undergo quite a change thereafter. This change may concern the concept of primary key, composition of data scheme, and other fundamental issues of database design.

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Methodical Spatial Database Design with Topological Polygon Structures

International Journal of Applied Geospatial Research ◽

10.4018/jagr.2012010102 ◽

2012 ◽

Vol 3 (1) ◽

pp. 21-30

Author(s):

Jean Damascène Mazimpaka

Keyword(s):

Design Process ◽

Spatial Data ◽

Spatial Databases ◽

Early Stage ◽

Spatial Database ◽

Database Design ◽

Integrity Constraints ◽

Data Types ◽

Data Infrastructure ◽

Database Development

Spatial databases form the foundation for a Spatial Data Infrastructure (SDI). For this, a spatial database should be methodically developed to accommodate its role in SDI. It is desirable to have an approach to spatial database development that considers maintenance from the early stage of database design and in a flexible way. Moreover, there is a lack of a mechanism to capture topological relations of spatial objects during the design process. This paper presents an approach that integrates maintenance of topological integrity constraints into the whole spatial database development cycle. The approach is based on the concept of Abstract Data Types. A number of topological classes have been identified and modelling primitives developed for them. Topological integrity constraints are embedded into maintenance functions associated with the topological classes. A semi-automatic transformation process has been developed following the principles of Model Driven Architecture to simplify the design process.

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Knowledge-Based Systems as Database Design Tools

Intelligent Support Systems ◽

10.4018/978-1-931777-00-1.ch004 ◽

2002 ◽

pp. 43-71 ◽

Cited By ~ 3

Author(s):

W. Amber Lo ◽

Joobin Choobineh

Keyword(s):

Database Design ◽

Practical Experience ◽

Support Tool ◽

Knowledge Based ◽

Learning Techniques ◽

Knowledge Intensive ◽

Design Support Tool ◽

Term Maintenance ◽

Database Schemata

Database design process is a knowledge intensive task that requires expertise, practical experience, and judgment. It is not surprising, therefore, that over the last few years many research prototype database design expert systems have been reported in the literature. This paper is a survey of such tools. These tools are compared with respect to four major aspects: database design support, tool flexibility, expert system features, and implementation characteristics. This study reveals that, in general, there is lack of 1) support for all the phases of the design, 2) support for group database design, 3) graphic support, 4) empirical verification of effectiveness of the tools, 5) long-term maintenance of the tool and database schemata, and 6) specialized knowledge representation schemes, inference, and learning techniques.

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Knowledge-based geometric modelling of aircraft structures

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1243/0954410971532677 ◽

1997 ◽

Vol 211 (4) ◽

pp. 273-284

Author(s):

J P Bates ◽

A J Morris ◽

P N Payne

Keyword(s):

Aerospace Engineering ◽

Geometric Modelling ◽

Test Environment ◽

Aircraft Structures ◽

Knowledge Based ◽

Extended Application ◽

Design Systems ◽

Strategic Market ◽

Engineering Programme

Aerospace engineering offers a challenging test environment for advanced design systems and methods. Focusing particularly on knowledge-based engineering (KBE) systems, this paper demonstrates their application in automating the solid modelling of aircraft structures. The principles are illustrated through a case study example in which a description is given of the knowledge-based geometric modelling of light alloy fuselage frame sectors. The business benefits of using KBE systems in an aerospace engineering programme are quantified. Recommendations for the extended application of the technology to achieve strategic market advantage are also given.

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