Context Ontology Modeling for Mobile Petrol Station Recommendation

2013 ◽  
Vol 291-294 ◽  
pp. 2849-2852
Author(s):  
Hui Zuo ◽  
Dan Xiang Ai
Keyword(s):  
Domain Ontology ◽  
Use Case ◽  
Context Modeling ◽  
Petrol Station ◽  
Modeling Approach ◽  
Ontology Modeling ◽  
Ontology Model ◽  
Upper Ontology

To support the personalized mobile recommendation service, a context modeling approach based on ontology was proposed. The role of context ontologies in mobile recommenders was discussed, and under the application background of petrol station recommendation, a two-level context ontology model was designed. The model contains an upper ontology to describe general concepts, and a domain ontology extended from the upper ontology. The context ontology provides formalizations representing the mainly entities including users, objects and contexts, and their interactive relationships in mobile recommendation environments. Finally, a use case of the instantiated context ontology was demonstrated.

Ontology-Based Context Modeling for Mobile Catering Recommendation

2013 ◽  
Vol 662 ◽  
pp. 953-956
Author(s):  
Dan Xiang Ai ◽  
Hui Zuo ◽  
Jun Yang
Keyword(s):  
Recommender System ◽  
Layer Structure ◽  
Domain Ontology ◽  
Use Case ◽  
Context Aware ◽  
Context Modeling ◽  
Specific Context ◽  
Contextual Model ◽  
Ontology Model ◽  
Upper Ontology

To support context-aware mobile recommendation, an ontology-based context modeling approach was proposed. We analyzed the framework of the mobile recommender system based on contextual model and suggested designing the model with two-layer structure including an upper ontology layer and a domain ontology layer. The ontologies provides formalizations representing the main entities, including users, objects, contexts, and their interactive relationships in mobile recommendation environments. A specific context ontology model for catering recommendation was developed and a use case of the instantiated context ontology was demonstrated.

Intelligent Petrol Station Recommender Based on Context Ontology and Rule Inference

2013 ◽  
Vol 303-306 ◽  
pp. 1412-1415
Author(s):  
Hui Zuo ◽  
Dan Xiang Ai ◽  
Jun Yang
Keyword(s):  
Recommender System ◽  
Domain Ontology ◽  
Petrol Station ◽  
Ontology Modeling ◽  
Ontology Model ◽  
Rule Inference ◽  
Upper Ontology

An intelligent mobile petrol station recommender system based on context ontology and rule inference is deigned. The approach of context ontology modeling specific for mobile recommendation is discussed. And a two-level context ontology model including upper ontology and domain ontology used in petrol station recommender is developed. The generation of recommendation rules based on the context ontologies and the process of the rule inference for recommendation are also demonstrated.

Organisational aspects of spatial information infrastructure in Poland

2013 ◽  
Vol 62 (1) ◽  
pp. 85-95 ◽  
Author(s):  
Elzbieta Bielecka ◽  
Agnieszka Zwirowicz-Rutkowska
Keyword(s):  
Spatial Information ◽  
Information Infrastructure ◽  
Class Diagram ◽  
Use Case ◽  
Legal Regulations ◽  
Organisational Structure ◽  
Technical Aspects ◽  
Polish Law

Abstract One of the more important elements of spatial information infrastructure is the organisational structure defining the obligations and dependencies between stakeholders that are responsible for the infrastructure. Many SDI practitioners and theoreticians emphasise that its influence on the success or failure of activities undertaken is significantly greater than that of technical aspects. Being aware of the role of the organisational structure in the creating, operating and maintenance of spatial information infrastructure (SII), Polish legislators placed appropriate regulations in the Spatial Information Infrastructure Act, being the transposition of the INSPIRE Directive into Polish Law. The principal spatial information infrastructure stakeholders are discussed in the article and also the scope of cooperation between them. The tasks and relationships between stakeholders are illustrated in UML, in both the use case and the class diagram. Mentioned also are the main problems and obstructions resulting from imprecise legal regulations.

scholarly journals Development of ontology-based model to support learning process in LMS

2021 ◽  
Vol 24 (1) ◽  
pp. 507
Author(s):  
Hussein Ali Ahmed Ghanim ◽  
László Kovács
Keyword(s):  
Learning Process ◽  
Time Management ◽  
Application Programming Interface ◽  
Domain Ontology ◽  
Actual Process ◽  
Process Ontology ◽  
Support Mechanism ◽  
Ontology Language ◽  
Ontology Model ◽  
E Learning

<p>E-Learning is an important support mechanism for educational systems to increase the efficiency of the education process including students and teachers. The current e-learning systems typically lack the level of metacognitive awareness, adaptive tutoring, and time management skills and have not always met the expectations of the learners as required. In this study, we introduce a novel ontological model for the learning process in the e-learning domain. In the framework, we have built a domain ontology that represents knowledge of the learning, the outcome domain ontology covers the whole learning process. We focused on the learning process ontology model conceptualizing knowledge constructions, such as learning courses, and we present the created course and learning process ontology in detail. In this work, we considered three layers of learning process. The top layer defines a general framework of learning process, conceptual model layer, defines the framework of the actual process of the learning process and course ontology model contains the knowledge unit of the learning process. The prototype ontology is constructed in protégé and managed by Java web ontology language-application programming interface (OWL-API). As a result, our model can solve the problems of current e-tutor systems. Also, it can be used for different domain in e-tutor systems. It can reach the characteristics of standardization, reusability, flexibility, and open knowledge. By applying this model, we can avoid applying isolated databases. The constructed ontology can be used in the future to control adaptive intelligent e-tutor frameworks.</p>

scholarly journals Did Beliefs and Attitudes Influence Consumer Ethnocentrism Towards Domestic Products? Empirical Evidence of Klang Valley Petronas Petrol Station

2018 ◽  
pp. 207-210
Keyword(s):  
Consumer Decision Making ◽  
Petrol Station ◽  
Consumer Ethnocentrism ◽  
Or Groups ◽  
Klang Valley ◽  
Domestic Products ◽  
Self Administered Questionnaire ◽  
Valley Area ◽  
Beliefs And Attitudes

The concept of consumer ethnocentrism is used here to show that culture influences the perception of individuals or groups when they buy products or services. Though many studies have recognized the importance of culture in consumer decision-making, few have examined the significant role of culture in influencing consumer buying decision. Thus, the purpose of this study is to examine how the roles of consumer beliefs and attitudes affect the level of consumer ethnocentrism towards the purchase of domestic products concentrating on Petronas petrol stations in Klang Valley from the customers’ perspective. A self-administered questionnaire was distributed at Petronas Petrol Stations in Klang Valley area. The results indicated that the most significant factor influencing consumer ethnocentrism was belief followed by attitude and both belief and attitude had moderate and positive relationships with consumer ethnocentrism toward Petronas Petrol Stations in Klang Valley area.

Sign in / Sign up

Export Citation Format

Share Document