An Ontological Approach to Enterprise Knowledge Modeling in a Shipping Company

2013 ◽  
pp. 351-363
Author(s):  
Sung-kwan Kim ◽  
Joe Felan ◽  
Moo Hong Kang
Keyword(s):  
Knowledge Management ◽  
Organizational Knowledge ◽  
Modeling Language ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Holistic View ◽  
Knowledge Resources ◽  
Shipping Company ◽  
Knowledge Models ◽  
Ontological Approach

Modeling approaches are gaining popularity in knowledge management (KM), especially in specifying knowledge contents. This paper addresses the enterprise knowledge modeling. An enterprise knowledge model provides users with an integrated, holistic view of organizational knowledge resources. Employing a reliable methodology is critical to building successful enterprise knowledge models. A good methodology provides an effective and efficient mechanism for developing a model. This paper first reviews the enterprise knowledge modeling (EKM) and its methodologies. An ontology-based EKM (OBEKM) methodology is proposed. Its products, procedures, and modeling language are described. The methodology is then applied to the construction of a shipping company’s knowledge model for demonstration.

An Ontological Approach to Enterprise Knowledge Modeling in a Shipping Company

2011 ◽  
Vol 7 (4) ◽  
pp. 70-84
Author(s):  
Sung-kwan Kim ◽  
Joe Felan ◽  
Moo Hong Kang
Keyword(s):  
Knowledge Management ◽  
Organizational Knowledge ◽  
Modeling Language ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Holistic View ◽  
Knowledge Resources ◽  
Shipping Company ◽  
Knowledge Models ◽  
Ontological Approach

Modeling approaches are gaining popularity in knowledge management (KM), especially in specifying knowledge contents. This paper addresses the enterprise knowledge modeling. An enterprise knowledge model provides users with an integrated, holistic view of organizational knowledge resources. Employing a reliable methodology is critical to building successful enterprise knowledge models. A good methodology provides an effective and efficient mechanism for developing a model. This paper first reviews the enterprise knowledge modeling (EKM) and its methodologies. An ontology-based EKM (OBEKM) methodology is proposed. Its products, procedures, and modeling language are described. The methodology is then applied to the construction of a shipping company’s knowledge model for demonstration.

A Method for Knowledge Modeling with Unified Modeling Language (UML)

2011 ◽  
pp. 228-242 ◽  
Author(s):  
Sung-kwan Kim ◽  
Seongbae Lim ◽  
Robert B. Mitchell
Keyword(s):  
Knowledge Management ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Shipping Company ◽  
Unified Modeling ◽  
Vessel Scheduling ◽  
Maritime Shipping ◽  
Successful Business

Since knowledge management (KM) is considered to be an important function of the successful business operation, many organizations are embracing KM. The success of a KM project is dependent upon its contents. This paper presents a method for building an effective knowledge model which can help businesses analyze and specify knowledge contents. The method takes a decision-oriented view. For the modeling language of the method, Unified Modeling Language (UML) has been chosen. The method is applied to the vessel scheduling process in a maritime shipping company. The steps and rules are explained using an example, and the strengths and weaknesses of the method are discussed.

Legal Ontologies in ICT and Law

2011 ◽  
pp. 51-66
Author(s):  
Witold Abramowicz ◽  
Piotr Stolarski ◽  
Tadeusz Tomaszewski
Keyword(s):  
Knowledge Management ◽  
General Theory ◽  
Theory Of Knowledge ◽  
Ontology Engineering ◽  
Knowledge Modeling ◽  
Specialized Knowledge ◽  
General Application ◽  
Knowledge Models ◽  
Usability Issue ◽  
Legal Ontologies

As discussed in the fouth chapter, re-usability is frequently declared as sine qua non feature of modern ontology engineering. Although thoroughly examined in general theory of knowledge management models the re-usability issue is still barely a declaration in the domain of legal ontologies. The similar situation also applies to statute-specific ontologies. Those knowledge modeling entities are well described especially as an opposition to the general application legal ontologies. Yet it is trivial to say that most of the developed legal ontologies so far are those generic ones. And this sole fact should not surprise as the very specialized knowledge models – usually harder to develop – are at the same time narrowed with their utility. Of course in terms of re-usability this simply means that this feature may be largely disabled in this kind of knowledge models. In this chapter the authors face both challenges, i.e. as an excuse for presentation of the most interesting in their opinion trends and works in the field the authors demonstrate the practical approach to modeling copyright law case by re-using statute-specific ontologies.

Knowledge Management Systems Diffusion in Chinese Enterprises

2010 ◽  
pp. 1370-1385 ◽  
Author(s):  
One-Ki ("Daniel") Lee ◽  
Mo ("Winnie") Wang ◽  
Kai H. Lim ◽  
Zeyu ("Jerry") Peng
Keyword(s):  
Knowledge Management ◽  
Diffusion Process ◽  
Social Factors ◽  
Organizational Knowledge ◽  
Cultural Factors ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Chinese Enterprises ◽  
Holistic View ◽  
Practical Guidance

With the recognition of the importance of organizational knowledge management (KM), researchers have paid increasing attention to knowledge management systems (KMS). However, since most prior studies were conducted in the context of Western societies, we know little about KMS diffusion in other regional contexts. Moreover, even with the increasing recognition of the influence of social factors in KM practices, there is a dearth of studies that examine how unique social cultural factors affect KMS diffusion in specific countries. To fill in this gap, this study develops an integrated framework, with special consideration on the influence of social cultures, to understand KMS diffusion in Chinese enterprises. In our framework, we examine how specific technological, organizational, and social cultural factors can influence the three-stage KMS diffusion process, that is, initiation, adoption, and routinization. This study provides a holistic view of the KMS diffusion in Chinese enterprises with practical guidance for successful KMS implementation.

THE EFFECTIVENESS OF INNOVATION: A KNOWLEDGE MANAGEMENT APPROACH

2004 ◽  
Vol 08 (03) ◽  
pp. 261-274 ◽  
Author(s):  
EL-SAYED ABOU-ZEID ◽  
QIANZHEN CHENG
Keyword(s):  
Knowledge Management ◽  
Innovation Process ◽  
Organizational Knowledge ◽  
Management Approach ◽  
Cognitive Fit ◽  
Knowledge Resources ◽  
Management Concepts ◽  
Cognitive Fit Theory ◽  
The Impact ◽  
The Relationship

With the emergence of knowledge management (KM) as a new discipline for studying what needs to be done in order to get the most out of organizational knowledge resources, linking knowledge management and innovation becomes a necessity. Nevertheless, there are few studies that address the relationship between KM and innovation. While the thing- and process-oriented approaches adopted in these studies are helpful in understanding the relationship between knowledge management concepts and innovation concepts, they have failed to account for the impact of this relationship on the effectiveness of the innovation process. In order to study this impact, cognitive fit theory is used to develop a model that describes how the compatibility between knowledge manipulating activities and the type of knowledge associated with innovation will affect the success of the innovation process.

Knowledge Management Systems Diffusion in Chinese Enterprises

2011 ◽  
pp. 117-132
Author(s):  
One-Ki ("Daniel") Lee ◽  
Mo ("Winnie") Wang ◽  
Kai H. Lim ◽  
Zeyu ("Jerry") Peng
Keyword(s):  
Knowledge Management ◽  
Diffusion Process ◽  
Social Factors ◽  
Organizational Knowledge ◽  
Cultural Factors ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Chinese Enterprises ◽  
Holistic View ◽  
Practical Guidance

With the recognition of the importance of organizational knowledge management (KM), researchers have paid increasing attention to knowledge management systems (KMS). However, since most prior studies were conducted in the context of Western societies, we know little about KMS diffusion in other regional contexts. Moreover, even with the increasing recognition of the influence of social factors in KM practices, there is a dearth of studies that examine how unique social cultural factors affect KMS diffusion in specific countries. To fill in this gap, this study develops an integrated framework, with special consideration on the influence of social cultures, to understand KMS diffusion in Chinese enterprises. In our framework, we examine how specific technological, organizational, and social cultural factors can influence the three-stage KMS diffusion process, that is, initiation, adoption, and routinization. This study provides a holistic view of the KMS diffusion in Chinese enterprises with practical guidance for successful KMS implementation.

Legal Ontologies in ICT and Law

2013 ◽  
pp. 34-49
Author(s):  
Witold Abramowicz ◽  
Piotr Stolarski ◽  
Tadeusz Tomaszewski
Keyword(s):  
Knowledge Management ◽  
General Theory ◽  
Theory Of Knowledge ◽  
Ontology Engineering ◽  
Knowledge Modeling ◽  
Specialized Knowledge ◽  
General Application ◽  
Knowledge Models ◽  
Usability Issue ◽  
Legal Ontologies

Re-usability is frequently declared as sine qua non feature of modern ontology engineering. Although thoroughly examined in general theory of knowledge management models the re-usability issue is still barely a declaration in the domain of legal ontologies. The similar situation also applies to statute-specific ontologies. Those knowledge modeling entities are well described especially as an opposition to the general application legal ontologies. Yet it is trivial to say that most of the developed legal ontologies so far are those generic ones. And this sole fact should not surprise as the very specialized knowledge models – usually harder to develop – are at the same time narrowed with their utility. Of course in terms of re-usability this simply means that this feature may be largely disabled in this kind of knowledge models. In this chapter we face both challenges, i.e. as an excuse for presentation of the most interesting in our opinion trends and works in the field we will demonstrate the practical approach to modeling copyright law case by re-using statute-specific ontologies.

Research on High-Pressure Hose Knitting Machine Knowledge Modeling Based on Ontology

2012 ◽  
Vol 482-484 ◽  
pp. 2535-2538
Author(s):  
Liang Wang ◽  
Xi Wei Wang ◽  
Xi Jing Wang
Keyword(s):  
High Pressure ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Product Design ◽  
Technical Support ◽  
Manufacturing Industries ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Organization And Management ◽  
Speed Up

In view of knowledge management problems for the manufacturing industries , this paper presents an approach of knowledge organization and management based on ontology. Knowledge model of high-pressure hose knitting machine is completed by the use of ontology modularization technology and ontology integration technology.It achieves a greater range of knowledge sharing and reusing ,provides a technical support for the enterprise to speed up product design , and has a certain significance on knowledge accumulations and innovations of manufacturers.

Concept Map-Based Knowledge Modeling: Perspectives from Information and Knowledge Visualization

2006 ◽  
Vol 5 (3) ◽  
pp. 192-201 ◽  
Author(s):  
John W Coffey ◽  
Robert Hoffman ◽  
Alberto Cañas
Keyword(s):  
Concept Maps ◽  
Weather Forecasting ◽  
Gulf Coast ◽  
The United States ◽  
Learning Resources ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Knowledge Resources ◽  
Other Information ◽  
Visualization Techniques

This article explores the idea of knowledge modeling as defined at the Florida Institute for Human and Machine Cognition. The notion of knowledge modeling is described to illustrate a particular method by which concept maps might be employed to create a useful structure and organization of other information and knowledge resources. Knowledge model structuring and navigational schemes afforded by the approach are described and illustrated. An example of a knowledge model pertaining to weather forecasting on the Gulf coast of the United States is presented to illustrate these ideas. Examples of how information visualization techniques have been and might be applied to the knowledge modeling scheme are discussed. Ideas pertaining to how knowledge models might serve as learning resources are briefly presented throughout. The article concludes with additional discourse regarding specific ways in which the knowledge modeling approach might be employed to create, present, and organize effective electronic learning resources.

scholarly journals Organizational knowledge management with Big Data. The foundation of using artificial intelligence

2017 ◽  
Vol 2 (1) ◽  
pp. 301-308 ◽  
Author(s):  
Daniel Paschek ◽  
Anca Mocan ◽  
Corina-Monica Dufour ◽  
Anca Draghici
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Organizational Knowledge ◽  
Knowledge Model ◽  
Core Component ◽  
Advantages And Disadvantages ◽  
The Core ◽  
Core Components ◽  
Framework Conditions

Abstract In the following paper the relevance of Knowledge Management (KM) as a foundation of Artificial Intelligence (AI) systems will be analyzed. The purpose of the work is the presentation of mandatory framework conditions for using AI with a special view on knowledge management for Big Data. Therefore the mandatory definitions of the core components will be described theoretically supported by practical examples. Based on literature, there will be done research and presentation of existing applications the relation between the knowledge management in the organization and big data as core component. To identify the relevant topics of using Big Data for knowledge management an analysis will be held up with digital companies. In addition, the main advantages and disadvantages will be depicted. The finding of the paper will be a recommendation of the developed Artificial Intelligence Knowledge Model for using Knowledge Management and Big Data for Artificial Intelligence decisions within the company.

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