A UML Profile for Knowledge-Based Systems Modelling

Abdullah, Mohd Syazwan; Paige, Richard F.; Kimble, Chris; Benest, Ian

doi:10.1109/sera.2007.36

Cited by 11 publications

(9 citation statements)

References 18 publications

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“…First, since RMTs are designed for a range of operation requirements, restraining aspects of tolerance requirements will Several works have described how Information and knowledge structure aid to support manufacturing decisions, and how this knowledge can be modeled with the UML tool. The design diagrams included in UML aid to construct the software that supports any decision process [21]. Besides UML demonstrates how to acquire the knowledge and integrate it within this technological tool, configuration of manufacture system as well a machine tool.…”

Section: Rms Rmts and Knowledge And Modeling For Manufacturingmentioning

confidence: 99%

Development of a software application for machine tool reconfiguration using a knowledge-based engineering system approach

Hincapié

Guemes

Contero

et al. 2016

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IOS PressHincapie, M.; Guemes, D.; Contero González, MR.; Ramirez, M.; Diaz, C. (2016). Development of a software application for machine tool reconfiguration using a knowledgebased engineering system approach. AbstractThe automation processes industry has become increasingly expensive, which is why some small and medium sized enterprises are incapable of buying machine tools with automatic systems. This means that their processes are manual in many cases, and as a result they often have to rework their developed products due to the lack of precision and efficiency in their production processes. Considering that current manufacturing systems with variable machining and turning centers are gradually replacing dedicated systems for medium lot size production, the production systems' basic element, the machine tool, must be capable of working at high speeds with precision, and it must be reconfigurable. These systems must also be compatible and convertible in order to create economic benefits for customers. This article describes a specific software architecture designed to record all the data, information and knowledge concerning manufacturing systems. The software allows for the creation of a new knowledge database and works with it in the reconfiguration of machine tools depending on the rules, requirements and parameters needed to effectively modify production processes or products.

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Section: Rms Rmts and Knowledge And Modeling For Manufacturingmentioning

confidence: 99%

Development of a software application for machine tool reconfiguration using a knowledge-based engineering system approach

Hincapié

Guemes

Contero

et al. 2016

KES

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“…In recent years, several research studies have focused on developing UML profiles to enhance UML to adapt to different application domains. In , a model‐driven development approach was introduced to the development of access control policies for distributed systems.…”

Section: Related Workmentioning

confidence: 99%

Extending UML to model Web 2.0‐based context‐aware applications

Hsu

2011

Softw Pract Exp

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SUMMARY Web 2.0 Mashups offer entirely new opportunities for context‐aware application (CAA) developers by integrating Web 2.0 technologies to facilitate interoperability among heterogeneous context‐aware systems. From a software engineering perspective, a visualized approach for Web 2.0‐based CAA modeling is crucial. Current CAA development, however, cannot provide a conceptual model for Web 2.0‐based CAA. Therefore, the development efficiency and potential for reuse are decreased. The UML is a general purpose modeling language with potential for use in many application domains. However, UML often lacks elements needed to model concepts in specific domains, such as Web 2.0‐based CAA modeling. To address the above issues, this study presents the Web 2.0‐based CAA UML profile, a UML profile for modeling Web 2.0‐based CAA. Copyright © 2011 John Wiley & Sons, Ltd.

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“…It can be compared to the UML Profile proposed in (Abdullah et al, 2007) or to the JavaDON architecture (Tomic et al, 2006). Both stand at he same meta level of KBS representation as BLOCKS also with a clear software engineering perpective.…”

Section: Related Workmentioning

confidence: 99%

Component-Based Support for Knowledge-Based Systems

Moisan¹

2008

Proceedings of the Tenth International Conference on Enterprise Information Systems

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Abstract:Software development of knowledge-based systems is difficult. To alleviate this task we propose to apply software engineering techniques. This paper investigates BLOCKS, a component framework for designing and reengineering knowledge-based system inference engines. BLOCKS provides reusable building blocks common to various engines, independently on their task or application domain. It has been used to build several engines for various tasks (planning, classification, model calibration) in different domains. The approach appears well fitted to knowledge-based system generators; it allows a significant gain in time, as well as it improves software legibility and safeness. MOTIVATIONOur objective is to facilitate operational knowledgebased system (KBS) implementation and evolution. Knowledge-based systems are mainly composed of three parts: a knowledge base storing expertise in a particular domain, a fact base containing facts about an end-user problem in this domain, and an engine, written by a software designer, performing inferences to solve the end-user problem based on the expert knowledge. For instance, if the task is to classify objects within a taxonomy, the knowledge base contains a description of the class hierarchy and features, the fact base a set of observed features concerning yet unclassified objects, and the engine implements an algorithm that infers the classes of the objects by traversing the class hierarchy. Building a KBS means to develop all the tools for both experts and end-users to interact with the system, such as inference engine, knowledge representation schemes, knowledge editors/verificators, etc. Each element by itself represents a great amount of code. Moreover, all elements must work together, although every one may evolve independently. So, not only developing new KBSs but also modifying them is a software engineering challenge. For both activities, designers have to convert a cognitive model, as expressed by experts, into a software model and eventually an operational system. This implies to bridge a large conceptual gap and recent software engineering techniques seem good candidates to support this task. Indeed, KBS software designers have little adapted support, much effort has been devoted to facilitate experts and end-users' tasks. Since the major modifications usually concern engines (changes in reasoning strategy) we focus this paper on a solution to allow easier building and reconfiguration of KBS engines by means of an extensible and reusable component framework.For a long time now, frameworks have been considered as a powerful tool for designing and building complex software systems in a rather economical and flexible way. Following this line, our framework, named BLOCKS, provides designers with building blocks to create engines at a level of abstraction higher than ordinary programming languages. It helps cope with model changes, ensuring programming security and rapid code production. Moreover, it provides a way to compare different reasoning strategies.After th...

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A UML Profile for Knowledge-Based Systems Modelling

Cited by 11 publications

References 18 publications

Development of a software application for machine tool reconfiguration using a knowledge-based engineering system approach

Development of a software application for machine tool reconfiguration using a knowledge-based engineering system approach

Extending UML to model Web 2.0‐based context‐aware applications

Component-Based Support for Knowledge-Based Systems

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