Knowledge representation and artificial intelligence in the control of the hierarchy production systems

2005 ◽  
pp. 631-637
Author(s):  
Ján Uličný ◽  
Oliver Moravčík ◽  
Zdenka Králová ◽  
Eugen Molnár ◽  
Ladislav Dráb
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Representation ◽  
Production Systems

INTERDISCIPLINARY LINKS, INTEGRATIVE APPROACH,HEURISTIC METHODS AND ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF INNOVATION - PART 1

2018 ◽  
Vol 28 (5) ◽  
pp. 1527-1532
Author(s):  
Hristo Patev
Keyword(s):  
Artificial Intelligence ◽  
Production Systems ◽  
Innovation Management ◽  
Integrative Approach ◽  
Heuristic Methods ◽  
Organizational Renewal ◽  
Innovation Activities ◽  
Management Of Innovation ◽  
Inventive Activity ◽  
High Degree

In this first work, out of the total of twenty-four, are considered: Integrative approach, interdisciplinary relations and transnational language in the technical and economic fundament of engineering and management, for the purpose of competitive innovation and successful business. Approaches to develop the innovation with a high degree of complexity. Interactive heuristic methods and algorithms for inventive activity, for inspiring and developing new industrial products and services for households and production systems. Implementing an effective business vocabulary for organizational renewal. Introduction of gaming and "art" methods in innovation management. Intensifying innovation activities through an attempt to introduce artificial intelligence into teamwork, with simultaneous implementation of an engineering and non-engineering approach.

scholarly journals Artificial Intelligence in General

2019 ◽  
pp. 1-16
Keyword(s):  
Artificial Intelligence ◽  
Computer Aided Design ◽  
Intelligent Systems ◽  
Production Systems ◽  
Knowledge Bases ◽  
Computer Integrated Manufacturing ◽  
Current Status ◽  
Computer Aided ◽  
Control Computer ◽  
History Of

There are many kinds of uses for artificial intelligence (AI) in almost every field. AI is quite often used for control, computer aided design (CAD) and computer aided manufacturing (CAM), machine control, computer integrated manufacturing (CIM), production spot control, factory control, intelligent control, intelligent systems, deep learning, the cloud, knowledge bases, database, management, production systems, statistics, to assist sales forces, environment examination, agriculture, art, livings, daily life, etc. The present AI uses will be reexamined whether there is any matter to be considered further or not in AI research directions and their purposes behind the current status by looking at the history of AI development.

scholarly journals Understanding the role of ICT in South African Sustainable Manufacturing Practice

10.29007/7dtj ◽  
2019 ◽  
Author(s):  
Mohammed Alhassan ◽  
Brenda Scholtz
Keyword(s):  
Artificial Intelligence ◽  
South Africa ◽  
South African ◽  
Review Process ◽  
Production Systems ◽  
Empirical Studies ◽  
Sustainable Manufacturing ◽  
Driving Factor ◽  
Key Drivers

Existing literature perceived Economic, Social and Environmental (ESE) factors as three key drivers of Sustainable Manufacturing Practice (SMP). ICT is not considered as a driving factor, but only as a tool that supports the achievement of SMP. The aim of this study is to investigate the role of ICT in achieving SMP in South Africa. A systematic literature review was conducted. The Google Scholar search engine was used to retrieve 1,352 articles that were analysed in this study. Themes and constructs were analysed based on the scope of the study. The findings revealed that South African manufacturing stakeholders are leveraging the advancement of ICT such as Artificial Intelligence and smart production systems to drive SMP through reduced waste and optimisation of resources. Also, the findings revealed that ICT plays a significant role that warrant its consideration as a fourth factor that drives SMP. This study emphasised the role of ICT as a driver in achieving SMP and presents the ESET model (ESE with the addition of Technology) to support the argument that ICT is a major driving factor for SMP. Understanding the role of ICT can influence how the issues of SMP are addressed and stakeholders can rethink strategies for SMP. Further empirical studies with a broader scope are encouraged because the review process and the scope of this study limits its generalisability

A Semantic Web Pragmatic Approach to Develop Clinical Ontologies, and thus Semantic Interoperability, based in HL7 v2.xml Messaging

2013 ◽  
pp. 205-214 ◽  
Author(s):  
David Mendes ◽  
Irene Pimenta Rodrigues
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Ontology Mapping ◽  
Knowledge Representation And Reasoning ◽  
Healthcare Applications ◽  
Current Trends ◽  
Web Tools ◽  
Ontology Population ◽  
Tools And Techniques

The ISO/HL7 27931:2009 standard intends to establish a global interoperability framework for healthcare applications. However, being a messaging related protocol, it lacks a semantic foundation for interoperability at a machine treatable level intended through the Semantic Web. There is no alignment between the HL7 V2.xml message payloads and a meaning service like a suitable ontology. Careful application of Semantic Web tools and concepts can ease the path to the fundamental concept of Shared Semantics. In this chapter, the Semantic Web and Artificial Intelligence tools and techniques that allow aligned ontology population are presented and their applicability discussed. The authors present the coverage of HL7 RIM inadequacy for ontology mapping and how to circumvent it, NLP techniques for semi-automated ontology population, and the current trends about knowledge representation and reasoning that concur to the proposed achievement.

Sign in / Sign up

Export Citation Format

Share Document