Knowledge Geometry

2015 ◽  
Vol 14 (04) ◽  
pp. 1550028 ◽  
Author(s):  
Flávio Luis de Mello ◽  
Roberto Lins de Carvalho
Keyword(s):  
Knowledge Management ◽  
Information Processing ◽  
Knowledge Acquisition ◽  
Information Management ◽  
Spatial Representation ◽  
Geometric Approach ◽  
Alternative Theory ◽  
Acquisition Process ◽  
Evaluation Systems ◽  
Processing Information

This paper aims to present what we call knowledge geometry, an alternative theory for spatial representation of features related to information processing, information management, and knowledge management. It is a unique geometric approach for representing intuition, reification, interpretation, and deduction processes, as well as their relations. We employ the concept of cultural filter and use what we call real, conceptual, and symbolic planes in order to support transformations which occur along the perception of a phenomenon. After that, we discuss the use of evaluation systems to judge concepts and also the use of semantic systems as a communication language. Finally, a framework of the knowledge acquisition process in the field of the proposed theory is offered, proving the feasibility of its automation.

Nested Ripple Down Rules (NRDR) as a Design Assistant in Mechanical Dimensional Tolerancing

2010 ◽  
Author(s):  
Ramsey F. Hamade ◽  
Ali H. Ammouri ◽  
G. Beydoun
Keyword(s):  
Knowledge Management ◽  
Knowledge Acquisition ◽  
Management System ◽  
Knowledge Management System ◽  
Design Knowledge ◽  
Mathematical Functions ◽  
Acquisition Process ◽  
Engineering Standards ◽  
To Receive ◽  
Ripple Down Rules

The dimensional tolerancing knowledge management system presented in this paper uses Nested Ripple down Rules (NRDR) targeted towards incrementally capturing expert design knowledge. A demonstrated example of such captured knowledge is that which human designers utilize in order to specify dimensional tolerances on shafts and mating holes in order to meet desired classes of fit as set by relevant engineering standards. In doing so, NRDR interface was designed to receive mathematical functions with their specifications prior and during the KA process. This is necessary to be able to exploit relationships among several classes with respect to certain numerical features of the cases in order to accelerate the convergence of the NRDR knowledge acquisition process by generating artificial cases which are likely to trigger the addition of exception rules. The incorporation of equations constitutes a novel contribution to the field of knowledge acquisition with NRDR. The developed dimensional tolerancing knowledge management system would help mechanical designers become more effective in the time-consuming tolerancing process of their designs in the future.

ON THE CLASSIFICATION OF DIGITAL TECHNOLOGIES IN CIVIL PROCESS

2019 ◽  
pp. 27-35
Author(s):  
Alexandr Neznamov
Keyword(s):  
Information Processing ◽  
Scientific Community ◽  
Digital Technologies ◽  
Significant Feature ◽  
Legal Proceedings ◽  
Civil Process ◽  
Civil Proceedings ◽  
Processing Information ◽  
The Impact

Digital technologies are no longer the future but are the present of civil proceedings. That is why any research in this direction seems to be relevant. At the same time, some of the fundamental problems remain unattended by the scientific community. One of these problems is the problem of classification of digital technologies in civil proceedings. On the basis of instrumental and genetic approaches to the understanding of digital technologies, it is concluded that their most significant feature is the ability to mediate the interaction of participants in legal proceedings with information; their differentiating feature is the function performed by a particular technology in the interaction with information. On this basis, it is proposed to distinguish the following groups of digital technologies in civil proceedings: a) technologies of recording, storing and displaying (reproducing) information, b) technologies of transferring information, c) technologies of processing information. A brief description is given to each of the groups. Presented classification could serve as a basis for a more systematic discussion of the impact of digital technologies on the essence of civil proceedings. Particularly, it is pointed out that issues of recording, storing, reproducing and transferring information are traditionally more «technological» for civil process, while issues of information processing are more conceptual.

Politikvermittlung an der Schnittstelle von Unterhaltung und Information : Political communication at the interface of entertainment and information

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider
Keyword(s):  
Information Processing ◽  
Political Participation ◽  
Knowledge Acquisition ◽  
Political Communication ◽  
Information Seeking ◽  
Process Model ◽  
Political Information ◽  
Process Models ◽  
Dual Process ◽  
Dual Process Model

This article presents an extended dual-process model of entertainment effects on political information processing and engagement. We suggest that entertainment consumption can either be driven by hedonic, escapist motivations that are associated with a superficial mode of information processing, or by eudaimonic, truth-seeking motivations that prompt more elaborate forms of information processing. This framework offers substantial extensions to existing dual-process models of entertainment by conceptualizing the effects of entertainment on active and reflective forms of information seeking, knowledge acquisition and political participation.

Achieving structured knowledge management with a novel online group decision support system

2020 ◽  
pp. 026666692096984
Author(s):  
Wesley Shu ◽  
Songquan Pang ◽  
Minder Chen
Keyword(s):  
Knowledge Management ◽  
Knowledge Acquisition ◽  
Ad Hoc ◽  
Group Decision Support System ◽  
Face To Face ◽  
Knowledge Conversion ◽  
Group Problem Solving ◽  
The People ◽  
Mixed Factorial Design ◽  
Better Than

Knowledge management (KM) is a complicated process that involves socialization, externalization, combination, and internalization and requires close collaboration among the people involved. Although Nonaka proposed the SECI (Socialization, Externalization, Combination, Internalization) model and the concept of Ba, which provides a process-oriented view of knowledge creation and transfer, practicing it is rather ad hoc. COVID-19 has provided a chance for practitioners to find a new method for KM. In this study, we adapted a group problem-solving system called TeamSpirit and structured it as a Ba for the SECI model. We then compared TeamSpirit with two other implementations of Ba, email and face-to-face communication, to evaluate their effects on knowledge externalization, knowledge combination, and knowledge internalization. Then, we evaluated whether these knowledge-conversion processes could improve knowledge acquisition and intention to share knowledge. A 3 × 2 mixed factorial design experiment was conducted. The results show that (a) TeamSpirit was better than the others, and face-to-face was better than email for each of the three knowledge conversion processes (externalization, combination, and internalization) and (b) the better the team’s knowledge conversion process lead, the stronger its knowledge acquisition and knowledge-sharing intention.

Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge

2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Knowledge Acquisition ◽  
Reference Materials ◽  
Explicit Knowledge ◽  
Experimental Methodology ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Use Of Knowledge ◽  
The Impact

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.

The Knowledge Management Information Landscape — Awareness, Access, Use and Value of Sources

2015 ◽  
Vol 14 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Denise A. D. Bedford
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Critical Component ◽  
Management Information ◽  
Specific Knowledge ◽  
Public Survey ◽  
Knowledge Organisation ◽  
Information Awareness ◽  
Information Valuation ◽  
Information Landscape

Information landscape is a critical component of professional and scholarly disciplines. Established disciplines have a managed information foundation covering primary, secondary and tertiary sources, targeted search capabilities, discipline-specific knowledge organisation tools and services, and quality controlled review processes. The information landscapes of emerging disciplines may be more chaotic and unsettled, and present challenges for professionals. This research considers the information landscape of the knowledge management discipline. An open public survey of knowledge professionals provides insights into three factors that affect the landscape including: (1) information awareness; (2) information use and access; and (3) information valuation. Findings highlight key information management challenges, and offer suggestions for solutions.

A Law Firm Librarian's Guide to KM

2016 ◽  
Vol 16 (3) ◽  
pp. 131-137 ◽  
Author(s):  
Hélène Russell
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Law Firm ◽  
Business Goals ◽  
Information Professionals

AbstractThis article is written by Hélène Russell, author and teacher in the field of legal sector Knowledge Management. It presents an easy to read foundation level guide to legal sector Knowledge Management for law firm Information Professionals. It explains what Knowledge is, what Knowledge Management (KM) is, how it differs from Information Management (IM) and how law firm Information Professionals can expand their roles to help their organisations meet business goals through strategic KM as well as IM, or manage an imposed transition from IM to IM+KM.

scholarly journals A META-TOOL TO SUPPORT THE DEVELOPMENT OF KNOWLEDGE ENGINEERING METHODOLOGIES AND PROJECTS

2012 ◽  
Vol 22 (08) ◽  
pp. 1055-1083
Author(s):  
JOSÉ ELOY FLÓREZ ◽  
JAVIER CARBÓ ◽  
FERNANDO FERNÁNDEZ
Keyword(s):  
Knowledge Acquisition ◽  
Ad Hoc ◽  
Knowledge Engineering ◽  
Domain Specific ◽  
Advantages And Disadvantages ◽  
Knowledge Based ◽  
Combined Application ◽  
Processing Information ◽  
Knowledge Acquisition Methods ◽  
Applied Knowledge

Knowledge-based systems (KBSs) or expert systems (ESs) are able to solve problems generally through the application of knowledge representing a domain and a set of inference rules. In knowledge engineering (KE), the use of KBSs in the real world, three principal disadvantages have been encountered. First, the knowledge acquisition process has a very high cost in terms of money and time. Second, processing information provided by experts is often difficult and tedious. Third, the establishment of mark times associated with each project phase is difficult due to the complexity described in the previous two points. In response to these obstacles, many methodologies have been developed, most of which include a tool to support the application of the given methodology. Nevertheless, there are advantages and disadvantages inherent in KE methodologies, as well. For instance, particular phases or components of certain methodologies seem to be better equipped than others to respond to a given problem. However, since KE tools currently available support just one methodology the joint use of these phases or components from different methodologies for the solution of a particular problem is hindered. This paper presents KEManager, a generic meta-tool that facilitates the definition and combined application of phases or components from different methodologies. Although other methodologies could be defined and combined in the KEManager, this paper focuses on the combination of two well-known KE methodologies, CommonKADS and IDEAL, together with the most commonly-applied knowledge acquisition methods. The result is an example of the ad hoc creation of a new methodology from pre-existing methodologies, allowing for the adaptation of the KE process to an organization or domain-specific characteristics. The tool was evaluated by students at Carlos III University of Madrid (Spain).

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