One of the most important technological changes due to the arrival of Industry 4.0, an initial, gradual, and complex process of technology transfer is taking place, which strongly relies on the integration of universities, industries, and governments. In this context, to make the Industry 4.0 approach a reality, several requirements need to be met. One of them is the need to qualify people to work in industries. This research paper aims to clarify the required knowledge and learning for a person to operate the manufacturing processes associated with some of the capabilities of Industry 4.0. Interviews were conducted with individuals who are Industry 4.0 employees, including experts of technology, education vendors, and employers who are eager to develop and improve their projects. This study provides several results, the most important of which is the focus on the rehabilitation of operators using modern technologies in alignment with the Fourth Industrial Revolution.

Cited by 12Open access

Inductive learning of knowledge-based planning operators

Timothy John Grant · 1996

Cited by 9Open access

Algebraic Mapping Operators for Knowledge Graph Generation

Sitt Min Oo, Ben De Meester, Ruben Taelman et al. · Semantic Web · 2025

Recent advancements in declarative knowledge graph generation have introduced multiple mapping languages and engines, causing a shift in studies towards optimizing the knowledge graph generation process. Although these engines commonly generate the knowledge graphs from heterogeneous data sources, sharing the optimization techniques and features remains challenging due to the lack of formal operational semantics. To address this, we propose a set of algebraic mapping operators that define operational semantics for general mapping processes. This algebra, based on the SPARQL algebra, enables reuse of established definitions and strengthens the link between knowledge graph generation and query engines. To evaluate language independence we translated mapping languages ShExML and the RDF Mapping Language (RML) into our algebraic mapping plan. Our completeness evaluation shows that our algebraic operators cover the operational semantics of RML and partially support ShExML. Additional analysis is required to cover additional features of ShExML such as joining data from two input sources. For performance evaluation, our proof-of-concept algebraic mapping engine exhibits consistent and low memory usage across workloads, getting second place in the Knowledge Graph Construction Workshop's performance challenge. Algebraic mapping operators decouple mapping engines from specific languages, enabling multilingual mapping engines and allowing optimization techniques to be applied independently of the mapping process. This work lays the foundation for theoretical analysis of complexity and expressiveness of mapping languages and enforces consistency in execution semantics of mapping engines. Furthermore, aligning our algebra with SPARQL opens the door to advanced methods such as virtualization for querying heterogeneous data sources.

Cited by 0Open access

Apprehending The Tour Operators Destination Brand Knowledge

Kirti Singh Dahiya, Dharminder Kumar Batra · SHILAP Revista de lepidopterología · 2019

The present study aims to understand and assess the tour operators destination brand knowledge of an Indian heritage tourism circuit the ‘Golden Triangle’. The concept has been measured utilizing Keller’s conceptual framework of the brand knowledge. The brand nodes in the framework are analysed in detail with reference to the tourist destination mainly the circuit as a tourism product. The viewpoints of tourists has also been considered from the lens of tour operators. Findings are contrasting for foreign tourists and their domestic counterparts. It was found that tour operators had adequate levels of brand knowledge about the tourism circuit that can be utilized in framing competitive strategies for the ‘Golden Triangle’ as a destination brand.

Cited by 0Open access

Pork free restaurants: Halal knowledge of the operators

M.I. Haroun, Mohd Salehuddin Mohd Zahari, Nur Adilah Md Zain et al. · 2016

Holding the status of multi religious and multi ethnic country, a new Islamic image known as Pork Free restaurants is rapidly emerging, especially in the large cities of Malaysia. The issue whether this Pork free restaurant is serving Halal food is one of the central issues in Malaysia, particularly among the Muslim customers. This paper thus reports the qualitative results looking at the knowledge of pork free restaurant operators with regard to halal food. From the information received, the Pork Free restaurants are basically one of the marketing tools to promote and attract the Muslim customers. The understanding of Halal varies among pork free restaurateurs and in some the Halal status is still in doubt. With no intention to pinpoint, there are still inefficient and inappropriate mechanisms with regard to Halal issues in the restaurant sector undertaken by the appointed religious authorities.

Cited by 0

Intuitive robot programming based on operators' implicit knowledge

Charlotte Skourup, John Pretlove · 2002

Programming robots can be a time consuming and demanding task requiring a high degree of technical skills. Experienced operators have knowledge about programming robots and the specific application including robot kinematics. Such knowledge is irreplaceable and cannot easily be substituted by a computer. The operator and the computer as a whole make up a cognitive system with different strength. Operators programming robots mainly work at the knowledge-based level of behaviour. Trials of a robot programming concept based on advanced man-machine interaction have proven the concept of utilising the operators' knowledge about the robot application. The concept describes the first step of integrating the operator, as the robot programmer, in the programming process.

Cited by 5

Quota-based merging operators for stratified knowledge bases

G. R. Qi, Weiru Liu, David Bell · 2009

Abstract. Current merging methods for stratified knowledge bases are often based on the commensurability assumption, i.e. all knowledge bases share a common scale. However, this assumption is too strong in practice. In this paper, we propose a family of operators to merge stratified knowledge bases without commensurability assumption. Our merging operators generalize the quota operators, a family of important merging operators in classical logic. Both logical properties and computational complexity issues of the proposed operators are studied. 1

Cited by 0

Towards algebraic mapping operators for knowledge graph construction

Min Oo, Sitt, De Meester, Ben, Taelman, Ruben et al. · Ghent University Academic Bibliography (Ghent University) · 2023

Cited by 0Open access

Selection of Logical Operators for Inducing Comprehensible Knowledge

Pedro G. Espejo, César Hervás‐Martínez, Sebastián Ventura et al. · INTELIGENCIA ARTIFICIAL · 2006

Cited by 0Open access

Knowledge-based gluing operators for feature-based modelling

Rao, Nalluri SRP, Gurumoorthy, B · NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) · 1993

Cited by 0

Knowledge, skills, and abilities needed for UAS operators

Tatjana Ilić-Kosanović, Damir Ilić · Serbian Journal of Engineering Management · 2023

The use of combat and commercial drones is on the rise. In addition to the use of military drones for military purposes and commercial drones for civilian purposes, the recent conflicts in Nagorno-Karabakh and Ukraine also indicated the possibility of using commercial drones for military purposes. The profession of drone operator is becoming increasingly popular among young people interested in STEM education. Different tasks and activities require somewhat different drone operator skills, but the basics are the same. The aim of this paper is to analyze the knowledge, skills and abilities for UAS operators, both military and civilian. Based on the analysis of the literature and the results of the focus group discussion, the job descriptions were created with the job specifications for military and civilian UAS operators, along with recommendations for the future development of UAS operators in the Republic of Serbia.

Cited by 0Open access

Knowledge-based gluing operators for feature-based modelling

Suryarprakash Nalluri, B. Gurumoorthy · Computers in Industry · 1993

Cited by 3

Reasoning Method on Knowledge about Functions and Operators

V. Nhon, Dinh Cong Hien, T. Thanh · International Journal of Advanced Computer Science and Applications · 2015

In artificial intelligence, there are many methods for knowledge representation. One of the effective models is the Computational Object Knowledge Base model (COKB model), which can be used to represent the total knowledge and to design the knowledge base component of practical intelligent systems. Besides, reasoning methods also play an important role in knowledge base systems. In fact, a popular form of knowledge domain is knowledge about function and operations. These knowledge domains have many practical applications, especially in educational applications, such as Solid Geometry, Analytic Geometry. However, the current methods cannot reason on knowledge about Function and Operators. In this paper, we will present a reasoning method to solve problems on COKB model. These problems are related to knowledge about Functions and Operators. Also, this method has been applied to design some intelligent systems in education. Using this reasoning method, systems can solve problems in some educational knowledge domains automatically with their solutions are step-by-step.

Cited by 3Open access