Ranking with Ties of OWL Ontology Reasoners Based on Learned Performances

2016 ◽  
pp. 234-259
Author(s):  
Nourhène Alaya ◽  
Sadok Ben Yahia ◽  
Myriam Lamolle
Keyword(s):  
Owl Ontology

OWLPath: An OWL Ontology-Guided Query Editor

2011 ◽  
Vol 41 (1) ◽  
pp. 121-136 ◽  
Author(s):  
Rafael Valencia-Garcia ◽  
Francisco Garcia-Sanchez ◽  
Dagoberto Castellanos-Nieves ◽  
Jesualdo Tomas Fernandez-Breis
Keyword(s):  
Owl Ontology

An Interactive Diagnosis and Repair of OWL Ontology

2007 ◽  
Author(s):  
Lu Lu ◽  
Nandan Parameswaran ◽  
Pradeep Kumar Ray
Keyword(s):  
Owl Ontology

scholarly journals An Extended Rule of the SysML Requirement Diagram Transformation into OWL Ontologies

2021 ◽  
Vol 14 (1) ◽  
pp. 506-515
Author(s):  
Ahmad Ashari ◽  
◽  
Anny Sari ◽  
Helna Wardhana ◽  
◽  
...  
Keyword(s):  
Response Time ◽  
System Modeling ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Functional Requirements ◽  
Unified Modeling ◽  
Object Property ◽  
Transformation Rules ◽  
Owl Ontology ◽  
Time Required

The System Modeling Language (SysML) used the Requirement Diagram to model non-functional requirements, such as response time, size, or system functionality, which cannot be accommodated in the Unified Modeling Language (UML). SysML Requirement Diagram, in its implementation, integrates with several diagrams describing the requirements, which are referred to as additional elements. The absence of transformation rules for these additional elements to become OWL ontology causes difficulties in reading, understanding, and tracking the requirements. In this research, an extended rule of the Requirement Diagram transformation is proposed to solve the problems. First, some transformation rules are defined to make requirements easier to trace and realize the ontology generation's automatic transformation. Second, the time required during transformation processing to prepare and generate the OWL file shows the proposed model's performance. The ontology components produced from this research, such as class, subclass, object property, and data property, can be viewed in Protégé.

scholarly journals MỘT TIẾP CẬN TRONG VIỆC CHUYỂN ĐỔI MÔ HÌNH QUAN HỆ SANG OWL ONTOLOGY

2017 ◽  
Vol 126 (2A) ◽  
pp. 103
Author(s):  
Dương Kiều Nga ◽  
Võ Hoàng Liên Minh ◽  
Hoàng Quang
Keyword(s):  
Owl Ontology

Minerva: A Scalable OWL Ontology Storage and Inference System

2006 ◽  
pp. 429-443 ◽  
Author(s):  
Jian Zhou ◽  
Li Ma ◽  
Qiaoling Liu ◽  
Lei Zhang ◽  
Yong Yu ◽  
...  
Keyword(s):  
Inference System ◽  
Ontology Storage ◽  
Owl Ontology

Ontology-Based Travel Recommender System

2021 ◽  
pp. 460-476
Author(s):  
Shi Pu ◽  
Isibor Kennedy Ihianle
Keyword(s):  
Recommender Systems ◽  
Recommender System ◽  
Web Ontology Language ◽  
Satisfaction Rate ◽  
Semantic Data ◽  
Ontology Language ◽  
Overall Evaluation ◽  
Owl Ontology ◽  
Travel Recommendation

Recommender systems are designed to suggest information to users according to their preferences. The items could be movies, books, or various kinds of products. Most of the existing recommender systems are based on a database with limited advantages. However, in this chapter, the authors propose a knowledge-driven travel recommender system to integrate semantic data built using web ontology language (OWL) ontology to allow users to find suitable destinations that fulfil users' travel preferences. This work aims to develop a travel recommendation tool and to examine the reliability, the usability of the system, and satisfaction rate of users. They are also able to demonstrate that users can obtain desired results through queries on the ontology-based system. The overall evaluation of the system shows that users are happy and satisfied with the recommendation results.

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