Ontology

2017 ◽  
pp. 79-102
Author(s):  
Syed Raiyan Ghani
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Information Systems ◽  
Cognitive Process ◽  
Information Overload ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Library Users

Library requires mighty technologies to support, sort and categorize information in the shortest span of time for better knowledge-tasks and decision-making. Ontology is one of the needs and adroitness which helps library users in acquiring better standardized vocabulary, better routes and better search. The chapter discusses how ontology libraries can process as a connection in modifying versatile users and diligence to reveal, judge, utilize, and disseminate the information overload. The Ontology–based Information Systems (IS) and Knowledge Management Systems (KMS) helps cognitive process of reaching a decision which are used to draw out user information and fuzzy ontologies are applied to store the accumulated knowledge.

Stages of Information Systems in E-Government for Knowledge Management

2011 ◽  
pp. 270-280
Author(s):  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Police Officers ◽  
Growth Models ◽  
Knowledge Work ◽  
Management Systems ◽  
Financial Crime ◽  
Knowledge Management Systems ◽  
Knowledge Intensive ◽  
Direction Information

A stage model for knowledge management systems in policing financial crime is developed in this chapter. Stages of growth models enable identification of organizational maturity and direction. Information technology to support knowledge work of police officers is improving. For example, new information systems supporting police investigations are evolving. Police investigation is an information-rich and knowledge-intensive practice. Its success depends on turning information into evidence. This chapter presents an organizing framework for knowledge management systems in policing financial crime. Future case studies will empirically have to illustrate and validate the stage hypothesis developed in this paper.

Semantic Integration of Structured and Unstructured Data in Data Warehousing and Knowledge Management Systems

2011 ◽  
pp. 81-105
Author(s):  
Liane Haak
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Data Warehousing ◽  
Semantic Integration ◽  
Unstructured Data ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Application Area ◽  
Ontology Integration ◽  
Basic Ideas

Nowadays, increasing information in enterprises demands new ways of searching and connecting the existing information systems. This chapter describes an approach for the integration of structured and unstructured data focusing on the application to Data Warehousing (DW) and Knowledge Management (KM). Semantic integration is used to improve the interoperability between two well-known and established information systems in the business context of nowadays enterprises. The objective is to introduce a semantic solution in the field of Business Intelligence based on ontology integration. The main focus of this chapter is not to provide a complete literature review of all existing approaches or just to point put the motivation for such an approach. In fact, it presents, under consideration of the most important research approaches, a solution for how a Semantic Integration could be technically achieved in this specific application area. After pointing out the motivation, a short introduction to Semantic Integration, the problems and challenges occurring from it, and the application area of Knowledge Management and Data Warehousing are given. Besides the basic ideas of ontologies and ontology integration are introduced. The approach itself starts with a short overview on the determined requirements, followed by a concept for generating an ontology from a Data Warehouse System (DWS) to be finally integrated with Knowledge Management Systems (KMS) ontology. Finally SENAGATOR, an exemplarily system for semantic navigation based on integrated ontologies, is shortly introduced.

Knowledge Management Systems Characteristics That Support Knowledge Sharing and Decision-Making Processes in Organizations

2021 ◽  
pp. 182-200
Author(s):  
Mahmoud Abdelrahman ◽  
Firas Masri ◽  
Dimitra Skoumpopoulou
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Conceptual Framework ◽  
Knowledge Sharing ◽  
Management Systems ◽  
Management Decision ◽  
Knowledge Management Systems ◽  
Structured Interviews ◽  
Public And Private ◽  
Management Decision Making

With the advent of the knowledge economy and the growing importance of knowledge societies, organizations are constantly seeking new ways of leveraging and sharing knowledge to support decision-making (DM) processes. This chapter presents an initial insight to the little-researched phenomenon of how knowledge management systems (KMSs) can facilitate knowledge sharing (KS) to support DM processes in organizations. In this chapter, authors aim to extend the existing literature of knowledge management, decision making, and knowledge sharing by proposing a new conceptual framework, namely “ECUA” (easiness, communication, unification, and analytics characteristics). In this study, 42 semi-structured interviews have been conducted. The proposed conceptual framework will benefit managers in both public and private sectors in finding new ways of leveraging and sharing knowledge to support DM processes via using KMSs. This framework can be used to explore KMSs characteristics that can support DM processes by facilitating knowledge sharing in organizations.

scholarly journals (Neg)Entropic Scenarios Affecting the Wicked Design Spaces of Knowledge Management Systems

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 169
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Information Overload ◽  
Current Knowledge ◽  
Design Science ◽  
Knowledge Workers ◽  
Science Research ◽  
General Purpose ◽  
Management Systems ◽  
Management Approach ◽  
Knowledge Management Systems

The envisioned embracing of thriving knowledge societies is increasingly compromised by threatening perceptions of information overload, attention poverty, opportunity divides, and career fears. This paper traces the roots of these symptoms back to causes of information entropy and structural holes, invisible private and undiscoverable public knowledge which characterize the sad state of our current knowledge management and creation practices. As part of an ongoing design science research and prototyping project, the article’s (neg)entropic perspectives complement a succession of prior multi-disciplinary publications. Looking forward, it proposes a novel decentralized generative knowledge management approach that prioritizes the capacity development of autonomous individual knowledge workers not at the expense of traditional organizational knowledge management systems but as a viable means to foster their fruitful co-evolution. The article, thus, informs relevant stakeholders about the current unsustainable status quo inhibiting knowledge workers; it presents viable remedial options (as a prerequisite for creating the respective future generative Knowledge Management (KM) reality) to afford a sustainable solution with the generative potential to evolve into a prospective general-purpose technology.

MEASURING THE CONTRIBUTIONS OF KNOWLEDGE MANAGEMENT SYSTEMS TO THE STRATEGIC COMPETITIVENESS OF ORGANIZATIONS: A REVIEW AND A MODEL

2010 ◽  
Vol 07 (02) ◽  
pp. 89-107 ◽  
Author(s):  
ELIE GEISLER
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Absorptive Capacity ◽  
Knowledge Systems ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Multi Stage ◽  
Intermediate Outcomes ◽  
Stage Process ◽  
The Relationship

Why and how do Knowledge Management Systems (KMS) contribute to the strategic competitiveness of organizations? This paper reviews the literature and proposes a model in which KMS is viewed from three different perspectives: (1) crucial resource; (2) driver of absorptive capacity; and (3) innovation adopted by the organization. The paper critiques the method used by KMS researchers whereby co-variation of KMS and competitiveness is utilized to study the relationship between these variables. The model proposed here is a multi-stage process. The successful use of KMS generates intermediate outcomes that in turn impact the organization and produces improved strategic competitiveness. The different approaches to KMS and the stage-process allow for the unique attributes of knowledge systems, different from information systems. The advantages and limitations of the model are discussed.

Application of Web Based Knowledge Management System in University Libraries

2013 ◽  
Vol 336-338 ◽  
pp. 2572-2576
Author(s):  
Du Jing ◽  
Xiang Rong Gao ◽  
Yong Cui Yuan
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Knowledge Management System ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
University Libraries ◽  
Model Framework ◽  
Web Based ◽  
Library Users ◽  
Digital Knowledge

Web based knowledge management systems have opened new arrays in the present web based world. This paper proposed a web based knowledge management system (WBKMS) for university libraries that will support the creation, organization, storage, dissemination and utilization of the institutions digital knowledge assets. Existing web based knowledge management systems were surveyed and a model framework was developed keeping in view the prevailing loopholes in the present systems. This research will improve staff professionalism and will help in achieving coordination with other libraries and library users.

Knowledge Management Systems

2011 ◽  
pp. 442-450 ◽  
Author(s):  
Ronald Maier ◽  
Thomas Hadrich
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Content Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Future Trends ◽  
E Learning ◽  
Abstract Level ◽  
State Of Practice ◽  
Content Management Systems

Knowledge management systems (KMSs) are seen as enabling technologies for an effective and efficient knowledge management (KM). However, up to date the term knowledge management system has often been used ambiguously. Examples are its use for specific KM tools, for KM platforms, or for (a combination of) tools that are applied with KM in mind. So far, investigations about the notion of KMS remain on the abstract level of what a KMS is used for, for example, “a class of information systems applied to managing organizational knowledge” (Alavi & Leidner, 2001, p. 114). The following two sections define the term KMS and obtain a set of characteristics that differentiates KMS from traditional information systems, such as intranet infrastructures, document- and content-management systems, groupware, or e-learning systems. Then, two ideal architectures for KMS are contrasted. It is discussed which KMS architecture fits what type of KM initiatives, and some empirical findings on the state of practice of KMS are summarized. The last sections give an outlook on future trends and conclude the article.

Assessing Knowledge Management Systems Usage in Supporting Decision Making Processes in Organizations

2014 ◽  
pp. 326-340 ◽  
Author(s):  
Mahmoud Abdelrahman ◽  
K. Nadia Papamichail ◽  
Simon French
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Knowledge Economy ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Critical Factors ◽  
Public And Private ◽  
Decision Making Processes ◽  
Support Decision Making

With the advent of the knowledge economy and the growing importance of knowledge societies, organizations are constantly seeking new ways of leveraging knowledge assets to support Decision Making (DM) processes. This chapter presents an initial insight to the little-researched phenomenon of how Knowledge Management Systems (KMSs) can support DM processes in organizations. A synthesis of ideas from a literature review suggests a new conceptual framework with several critical factors that organizations should take into account to assess the usage of KMSs tools in supporting DM processes in organizations. The proposed framework, “USUQ,” will benefit managers in both public and private sectors in knowing how the Usage, Satisfaction, Usefulness, and the Quality of using KMSs can support DM processes.

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