An engineering design process supported by knowledge retrieval from a spatial database

Manwaring, Mark L.; Jones, K.L.; Glagowski, T.G.

doi:10.1109/iceccs.1996.558476

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…This is due to the fact that especially in preliminary stages of the design, where much is unknown, or cases where the design cannot yet be accurately described in query, there is possibility for many applicable but not exact matches to be excluded from the query results. This scenario is well described in [42]. An algorithm is presented which has the purpose of allowing the search of a non-homogenous database, which contains engineering design information and other data relevant to the engineering design process.…”

Section: Fuzzy Search Methodsmentioning

confidence: 99%

Intelligent Data Storage and Retrieval for Design Optimisation – an Overview

Peebles¹,

Bil²,

Drack³

2005

Acta Polytech

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This paper documents the findings of a literature review conducted by the Sir Lawrence Wackett Centre for Aerospace Design Technology at RMIT University. The review investigates aspects of a proposed system for intelligent design optimisation. Such a system would be capable of efficiently storing (and compressing if required) a range of types of design data into an intelligent database. This database would be accessed by the system during subsequent design processes, allowing for search of relevant design data for re-use in later designs, allowing it to become very efficient in reducing the time for later designs as the database grows in size. Extensive research has been performed, in both theoretical aspects of the project, and practical examples of current similar systems. This research covers the areas of database systems, database queries, representation and compression of design data, geometric representation and heuristic methods for design applications.

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Section: Fuzzy Search Methodsmentioning

confidence: 99%

Intelligent Data Storage and Retrieval for Design Optimisation – an Overview

Peebles¹,

Bil²,

Drack³

2005

Acta Polytech

View full text Add to dashboard Cite

show abstract

Databases Modeling of Engineering Information

2009

Database Technologies

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Information systems have become the nerve center of current computer-based engineering applications, which hereby put the requirements on engineering information modeling. Databases are designed to support data storage, processing, and retrieval activities related to data management, and database systems are the key to implementing engineering information modeling. It should be noted that, however, the current mainstream databases are mainly used for business applications. Some new engineering requirements challenge today’s database technologies and promote their evolvement. Database modeling can be classified into two levels: conceptual data modeling and logical database modeling. In this chapter, we try to identify the requirements for engineering information modeling and then investigate the satisfactions of current database models to these requirements at two levels: conceptual data models and logical database models. In addition, the relationships among the conceptual data models and the logical database models for engineering information modeling are presented in the chapter viewed from database conceptual design.

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An engineering design process supported by knowledge retrieval from a spatial database

Cited by 2 publications

References 11 publications

Intelligent Data Storage and Retrieval for Design Optimisation – an Overview

Intelligent Data Storage and Retrieval for Design Optimisation – an Overview

Databases Modeling of Engineering Information

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