Basic Concepts of Knowledge-Based Image Understanding

2008 ◽  
pp. 42-52 ◽  
Author(s):  
R. Tadeusiewicz ◽  
P. S. Szczepaniak
Keyword(s):  
Image Understanding ◽  
Knowledge Based ◽  
Basic Concepts ◽  
Concepts Of Knowledge

“Smart” Concepts of Knowledge-Based Economy: Interdisciplinary Research

2020 ◽  
Vol 26 (7) ◽  
pp. 730-738
Author(s):  
A. V. Altoukhov ◽  
Z. N. Afinskaya ◽  
N. P. Ivashchenko
Keyword(s):  
Interdisciplinary Research ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Concepts Of Knowledge

A Knowledge Based Approach for Image Understanding

1988 ◽  
pp. 137-145
Author(s):  
S. Losito ◽  
G. Pasquariello ◽  
G. Sylos-Labini ◽  
A. Tavoletti
Keyword(s):  
Image Understanding ◽  
Knowledge Based

scholarly journals Knowledge in the business strategy context

2012 ◽  
Vol 52 (No. 1) ◽  
pp. 7-11 ◽  
Author(s):  
I. Tichá ◽  
J. Hron
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Strategic Management ◽  
Business Strategy ◽  
Ministry Of Education ◽  
Knowledge Based ◽  
Concepts Of Knowledge ◽  
Knowledge Support ◽  
Management Thinking

The paper builds on the resource-based approach to the firm and develops it further towards the knowledge-based approach by exploring the importance of knowledge in a modern firm. Various concepts explaining characteristics of knowledge are compared and contrasted in order to contribute to the current strategic management thinking and to stimulate adoption of the concepts of knowledge management in modern businesses. The paper draws from the literature review made within the project Information and Knowledge Support for Strategic Management financed by the Czech Ministry of Education, Youth and Sports.

Intelectual Capital in Knowledge-Based Organization. Implications for the Military Environment

2017 ◽  
Vol 23 (1) ◽  
pp. 461-466
Author(s):  
Leontin Stanciu ◽  
Cristian-Lucian Stanciu
Keyword(s):  
Intellectual Capital ◽  
Knowledge Society ◽  
Knowledge Based ◽  
Theoretical Approaches ◽  
Concepts Of Knowledge ◽  
The Military ◽  
Near Future ◽  
Scientific Arguments

Abstract The near future, but also the farther future, in the knowledge society, will belong to the intelligent knowledge-based organizations that, in order to be sustainable, make efficient use of their available intellectual capital. This will play an active and determining role in any kind of organization, including the military ones. The authors’ intention is that, by using the power of the scientific arguments, to identify the main theoretical approaches of the concepts of knowledge-based organization and intellectual capital, to highlight their role in the knowledge era and to provide solutions for them to become realities in the Romanian economic and military environments.

Modern Cartography and GIS

2019 ◽  
pp. 22-38 ◽  
Author(s):  
Mulalu I. Mulalu
Keyword(s):  
Developing Country ◽  
Rapid Change ◽  
Public Domain ◽  
Work Environments ◽  
Professional Certification ◽  
Conceptual Frameworks ◽  
The Public ◽  
Knowledge Based ◽  
Technological Concepts ◽  
Basic Concepts

This paper presents the view that with the rapid change in technology, which necessitates the constant rethinking of the supporting conceptual frameworks, spatial science practitioners need to be well grounded in the basic technological concepts and research arguments in order to perform their varied tasks with knowledge based integrity. Cartography has now been placed in the public domain as well as in GIS. GIS in turn has introduced GIS Cartography and is also practiced in the public domain. In both cases, there are situations where people do cartography and GIS without understanding their basic concepts and principles. The paper seeks to shed light on the varied exemplification of the cartography and GIS disciplines with a bias in developing country contexts where there is still a piecewise treatment of these disciplines in education and work environments and a shortage of professional bodies and certification routines. By discussing basic concepts and conceptual frameworks, the practice environments, education and accreditation as well as professional certification, the paper highlights some of the basic requirements of spatial science practitioners. The paper is written from the Botswana context as an example of a developing country context, but most issues should relate to other developing country contexts too.

Knowware-Based Software Engineering

2014 ◽  
pp. 567-596
Author(s):  
RuQian Lu ◽  
Zhi Jin
Keyword(s):  
Software Engineering ◽  
Domain Knowledge ◽  
Web Search ◽  
Knowledge Modeling ◽  
New Techniques ◽  
J2ee Platform ◽  
The Third ◽  
Knowledge Based ◽  
Basic Concepts ◽  
Further Development

The first part of this chapter reviews the origin of knowware-based software engineering. It originates from the authors' experiences in finding new techniques for knowledge-based software engineering while performing PROMIS, a continuing project series from the 1990s. The key point of PROMIS is to generate applications automatically by separating the development of domain knowledge from that of software architecture, with an important innovation of acquiring and summarizing domain knowledge automatically based on the pseudo-natural language understanding techniques. However, during PROMIS development, the authors did not find an appropriate form for the separated domain knowledge. The second part of the chapter briefly describes how the authors came to the concept of knowware. They stated that the essence of knowware is its capacity as a commercialized form of domain knowledge. It is also the third major component of IT after hardware and software. The third part of the chapter introduces the basic concepts of knowware and knowware engineering. Three life cycle models of knowware engineering and the design of corresponding knowware implementations are given. The fourth part of the chapter introduces object-oriented mixware engineering. In the fifth part of the chapter, two recent applications of knowware technique regarding smart room and Web search are reported. As a further development of PROMIS, the sixth part of the chapter discusses knowware-based redesign of its framework. In the seventh part of the chapter, the authors discuss automatic application generation and domain knowledge modeling on the J2EE platform, which combines techniques of PROMIS, knowware, and J2EE, and the development and deployment framework (i.e. PROMIS/KW**).

USING EXPERT SYSTEMS FOR IMAGE UNDERSTANDING

1987 ◽  
Vol 01 (02) ◽  
pp. 237-250 ◽  
Author(s):  
P. SUETENS ◽  
A. OOSTERLINCK
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Review Paper ◽  
Image Understanding ◽  
Interested Reader ◽  
Knowledge Based ◽  
Survey Papers ◽  
Application Fields

Expert systems and image understanding have traditionally been considered as two separate application fields of artificial intelligence (AI). In this paper it is shown, however, that the idea of building an expert system for image understanding may be fruitful. Although this paper may serve as a framework for situating existing works on knowledge-based vision, it is not a review paper. The interested reader will therefore be referred to some recommended survey papers in the literature.

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