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Article
Publication date: 1 July 1992

Oded Maimon and Daniel Braha

The problem of design is to find the best mapping between specifications and a solution space. A key operation that is involved in the early stages of the design process is the…

Abstract

The problem of design is to find the best mapping between specifications and a solution space. A key operation that is involved in the early stages of the design process is the synthesis operation. This short communication employs a framework previously published by the authors, to formulate a simple variant of the synthesis problem of the design. The problem is proved to be computationally intractable, thus leading to a practical conclusion that heuristics should be searched for.

Details

Kybernetes, vol. 21 no. 7
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 12 February 2018

Parvin Hashemi, Ameneh Khadivar and Mehdi Shamizanjani

The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of…

1045

Abstract

Purpose

The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them.

Design/methodology/approach

The study applies NOY methodology – named after Natalya F. Noy who initiated this methodology. Protégé software and ontology web language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM technologies by experts.

Findings

All the main concepts in the scope of KM technologies are extracted from existing literature. There are 241 words, 49 out of them are domain concepts, eight terms are about taxonomic and non-taxonomic relations, one term relates to data property and 183 terms are instances. These terms are used to develop KM technologies’ ontology based on three factors: facilitating KM processes, supporting KM strategies and the position of technology in the KM technology stage model. The presented ontology is created a common understanding in the field of KM technologies.

Research limitations/implications

Lack of specific documentary about logic behind decision making and prioritizing criteria in choosing KM technologies.

Practical implications

Uploading the presented ontology in the web environment provides a platform for knowledge sharing between experts from around the world. In addition, it helps to decide on the choice of KM technologies based on KM processes and KM strategy.

Originality/value

Among the many categories of KM technologies in literature, there is no classifying according to several criteria simultaneously. This paper contributes to filling this gap and considers KM processes, KM strategy and stages of growth for KM technologies simultaneously to choice the KM technologies and also there exists no formal ontology regarding KM technologies. This study has tried to propose a formal KM technologies’ ontology.

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