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Knowledge Technologies
TL;DR: Knowledge Acquisition in Practice as mentioned in this paper describes a step-by-step procedure for acquiring and implementing expertise, which is aimed at students, researchers and practitioners interested in knowledge management, Artificial Intelligence, Design Engineering and Web Technologies.
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Abstract: Several technologies are emerging that provide new ways to capture, store, present and use knowledge. This book is the first to provide a comprehensive introduction to five of the most important of these technologies: Knowledge Engineering, Knowledge Based Engineering, Knowledge Webs, Ontologies and Semantic Webs. For each of these, answers are given to a number of key questions (What is it? How does it operate? How is a system developed? What can it be used for? What tools are available? What are the main issues?). The book is aimed at students, researchers and practitioners interested in Knowledge Management, Artificial Intelligence, Design Engineering and Web Technologies. During the 1990s, Nick worked at the University of Nottingham on the application of AI techniques to knowledge management and on various knowledge acquisition projects to develop expert systems for military applications. In 1999, he joined Epistemics where he worked on numerous knowledge projects and helped establish knowledge management programmes at large organisations in the engineering, technology and legal sectors. He is author of the book "Knowledge Acquisition in Practice", which describes a step-by-step procedure for acquiring and implementing expertise. He maintains strong links with leading research organisations working on knowledge technologies, such as knowledge-based engineering, ontologies and semantic technologies.
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Citations
Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design
TL;DR: The programming approach, which is a distinctive aspect of state-of-the-art KBE systems, is discussed in detail, to illustrate its effectiveness in capturing and re-using engineering knowledge to automate large portions of the design process.
366
Knowledge elicitation techniques in a knowledge management context
TL;DR: It is proposed that the special agent (analyst) might be needed to elicit knowledge from individuated individuals in knowledge management tasks.
A meta-model for knowledge configuration management to support collaborative engineering
TL;DR: This paper describes a model called KCModel to specify knowledge configuration used in engineering project and proposes an approach to manage knowledge using configurations synchronized with expert models which enable designers to use parameters consistently in a collaborative context.
59
Knowledge-based engineering to support aircraft multidisciplinary design and optimization
G. La Rocca,M. J. L. van Tooren +1 more
- 01 Sep 2010
TL;DR: The proposed KBE application has demonstrated to be a valuable solution for some of the critical needs indicated by the multidisciplinary design and optimization community, namely a flexible and robust generative tool to increase the level of automation in aircraft design, including the development of novel configurations.
58
An ontology-oriented knowledge methodology for process planning in additive layer manufacturing
TL;DR: The differences between geometric and dimensional tolerance fabrication is considered in the generated methodology and the knowledge needed to aid all decisions is expressed utilizing the proposed ontology.
56
References
A translation approach to portable ontology specifications
TL;DR: This paper describes a mechanism for defining ontologies that are portable over representation systems, basing Ontolingua itself on an ontology of domain-independent, representational idioms.
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Knowledge Engineering and Management: The CommonKADS Methodology
Guus Schreiber,Hans Akkermans +1 more
- 17 Dec 1999
TL;DR: The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used and makes as much use as possible of the new UML notation standard.
1.9K
Enabling distributed multi-disciplinary design of complex products: a knowledge based engineering approach
G. La Rocca,M. J. L. van Tooren +1 more
TL;DR: This system, called Design and Engineering Engine (DEE), demonstrated its capability to support designers in performing what-if studies and accelerate Multi-disciplinary Design and Optimisation (MDO), through the automation of those lengthy and repetitive activities typically hampering the design process.
133
CS AKTive Space, or how we learned to stop worrying and love the semantic Web
TL;DR: This talk discusses about the CS AKTive Space which addresses many core semantic Web challenges to offer an integrated information overview of who's doing what and where in UK computer science research.
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