Grammar of Dynamic Knowledge for Collaborative Knowledge Engineering and Representation

2015 ◽  
pp. 326-353 ◽  
Author(s):  
Cyril Pshenichny ◽  
Dmitry Mouromtsev
Keyword(s):  
Knowledge Representation ◽  
Collaborative Research ◽  
Knowledge Engineering ◽  
Shared Understanding ◽  
Mathematical Foundation ◽  
Engineering Knowledge ◽  
Changing Environments ◽  
Constructive Discussion ◽  
Collaborative Knowledge

Constructive discussion must lead to a shared understanding. This understanding is commonly expressed as text; however, for the purposes of collaborative research, the tools of knowledge engineering/knowledge representation look more appropriate. The problem with them is that, to the present day, they are developed largely for the tasks that imply fixed relations between things and their properties, termed here as static. However, collaborative research often deals with fields of knowledge that represent changing environments where these relations cannot be considered fixed, and the tools to capture scenarios of evolution (i.e. the dynamic tools of knowledge engineering) are far from that evolved as static ones, mainly due to the lack of strict logical or mathematical foundation for representation of dynamic knowledge. This chapter presents an attempt to formulate a unified grammar to encode the knowledge of changing environments in any field of science.

Constructing Historical Knowledge through Graphic Boundary Objects

2015 ◽  
pp. 354-370 ◽  
Author(s):  
Konstantin Solomin ◽  
Maria Mandrik
Keyword(s):  
Knowledge Representation ◽  
Knowledge Engineering ◽  
Boundary Objects ◽  
Reference Points ◽  
Historical Knowledge ◽  
Apparent Contradiction ◽  
Engineering Knowledge ◽  
Common Reference ◽  
Collaborative Studies ◽  
Descriptive Knowledge

Ironically, collaborative studies are often most needed exactly in those fields in which they are least feasible. This fully refers to history. Descriptive knowledge requires comparison, incorporation, and even merging of views, concepts, and viewpoints that either do not intersect or are in apparent contradiction. A solution could be found if one manages to suggest some kind of common reference points, the so-called boundary objects, but the way these objects have been created precludes their usefulness in history. This chapter presents an experiment of creating graphic boundary objects for historical studies by means of a dynamic tool of knowledge engineering/knowledge representation, the event bush.

Engineering knowledge: philosophy and ponstructive meanig

2018 ◽  
pp. 10-16
Author(s):  
V. I. Onoprienko
Keyword(s):  
Information Technologies ◽  
Knowledge Engineering ◽  
Practical Rationality ◽  
Engineering Knowledge ◽  
World Today ◽  
The World ◽  
Technological Area

An expansion of information technologies in the world today is caused by progress of instrumental knowledge. It has been arisen a special technological area of knowledge engineering, which is related to practical rationality and experts’ knowledge for solving urgent problems of science and practice.

Puzzling and powering in the city: two case studies on collaborative research

2021 ◽  
Author(s):  
Robert Duiveman
Keyword(s):  
Case Studies ◽  
Collaborative Research ◽  
Knowledge Development ◽  
Power Dynamics ◽  
Research Practices ◽  
Research Findings ◽  
Living Labs ◽  
Urban Issues ◽  
Policy Problems ◽  
Collaborative Knowledge

Abstract Cities are turning to urban living labs and research consortia to co-create knowledge that can better enable them to address pervasive policy problems. Collaborations within such practices help researchers, officials and local stakeholders find new ways of dealing with urban issues and developing new relations with one another. Interestingly, success in the latter is often closely related to accomplishing the former. Besides of analysing this phenomenon in terms of learning—as is common—this paper also delves into the power dynamics involved in collaborative knowledge development. This perspective contributes to a better understanding of how puzzling and powering are simultaneously involved in making research relevant to policy-making. By presenting two collaborative research consortia in the Netherlands, we demonstrate how developing knowledge involves both re-structuring problems and the urban practices involved in governing such problems. Collaborative research practices are predominantly concerned with learning as long as restructuring the problem leads to research findings that are meaningful to all actors. Power becomes manifest when one actor insists on restructuring (often reproducing) problems in a manner judged unacceptable by others. Analysis of two case studies will show how the familiar three faces of power express themselves in collaborative knowledge development. It is recommended that these new practices also require methods for better orchestrating power besides a methodology for successful structuring learning through collaborative research practices.

Decision Retrieval and Storage Enabled Through Description Logic

2007 ◽  
Author(s):  
Gregory M. Mocko ◽  
David W. Rosen ◽  
Farrokh Mistree
Keyword(s):  
Knowledge Representation ◽  
Product Development ◽  
Cantilever Beam ◽  
Description Logic ◽  
Decision Models ◽  
Design Decision ◽  
Engineering Knowledge ◽  
Query Concepts ◽  
And Storage

The problem addressed in the paper is how to represent the knowledge associated with design decision models to enable storage, retrieval, and reuse. The paper concerns the representations and reasoning mechanisms needed to construct decision models of relevance to engineered product development. Specifically, AL[E][N] description logic is proposed as a formalism for modeling engineering knowledge and for enabling retrieval and reuse of archived models. Classification hierarchies are constructed using subsumption in DL. Retrieval of archived models is supported using subsumption and query concepts. In our methodology, design decision models are constructed using the base vocabulary and reuse is supported through reasoning and retrieval capabilities. Application of the knowledge representation for the design of a cantilever beam is demonstrated.

MY ARCHITECTURE: A KNOWLEDGE REPRESENTATION META-MODEL FOR SOFTWARE ARCHITECTURE

2008 ◽  
Vol 18 (07) ◽  
pp. 877-894 ◽  
Author(s):  
ADEL SMEDA ◽  
MOURAD OUSSALAH ◽  
TAHAR KHAMMACI
Keyword(s):  
Knowledge Representation ◽  
Software Architecture ◽  
Knowledge Engineering ◽  
Meta Model ◽  
Representation Model ◽  
Representation Of Architecture ◽  
Meta Modeling ◽  
Implementation Level ◽  
Representation Techniques

In this article we show how knowledge representation techniques can be applied to software architecture. We define a representation model for software architecture concepts. The model is based on MY model (meta modeling in Y), which is a knowledge engineering methodology. It represents software architecture concepts using three branches: component, connector, and architecture. The component branch represents concepts that are related to computations, the connector branch represents concepts that are related to interactions, and the architecture branch represents concepts that are related to the structure and the topology of the system described. We think that such a representation of architecture concepts aids in improving reusability not only at the implementation level, but also at the description level. The model assigns a hierarchical library for the four software architecture conceptual levels (meta-meta architecture level, meta architecture level, architecture level, application level).

scholarly journals Enabling Product Design Reuse by Long-term Preservation of Engineering Knowledge

2009 ◽  
Vol 4 (3) ◽  
pp. 17-28 ◽  
Author(s):  
Jörg Brunsmann ◽  
Wolfgang Wilkes
Keyword(s):  
Knowledge Representation ◽  
Product Information ◽  
Product Lifecycle Management ◽  
Engineering Industry ◽  
Formal Representation ◽  
Design Data ◽  
Engineering Knowledge ◽  
Future Design ◽  
Long Term Preservation

In the highly competitive engineering industry, product innovations are created with the help of a product lifecycle management (PLM) tool chain. In order to support fast-paced product development, a major company goal is the reuse of product designs and product descriptions. Due to the product’s complexity, the design of a product not only consists of geometry data but also of valuable engineering knowledge that is created during the various PLM phases. The need to preserve such intellectual capital leads engineering companies to introduce knowledge management and archiving their machine-readable formal representation. However, archived knowledge is in danger of becoming unusable since it is very likely that knowledge semantics and knowledge representation will evolve over long time periods, for example during the 50 operational years of some products. Knowledge evolution and knowledge representation technology changes are crucial issues since a reuse of the archived product information can only be ensured if its rationale and additional knowledge are interpretable with future software and technologies. Therefore, in order to reuse design data fully, knowledge about the design must also be migrated to be interoperable with future design systems and knowledge representation methods. This paper identifies problems, issues, requirements, challenges and solutions that arise while tackling the long-term preservation of engineering knowledge.

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