Validating Your OWL Ontology

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.

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

HUE UNIVERSITY JOURNAL OF SCIENCE TECHNIQUES AND TECHNOLOGY ◽

10.26459/hueuni-jtt.v126i2a.4441 ◽

2017 ◽

Vol 126 (2A) ◽

pp. 103

Author(s):

Dương Kiều Nga ◽

Võ Hoàng Liên Minh ◽

Hoàng Quang

Keyword(s):

Owl Ontology

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Minerva: A Scalable OWL Ontology Storage and Inference System

The Semantic Web – ASWC 2006 - Lecture Notes in Computer Science ◽

10.1007/11836025_42 ◽

2006 ◽

pp. 429-443 ◽

Cited By ~ 39

Author(s):

Jian Zhou ◽

Li Ma ◽

Qiaoling Liu ◽

Lei Zhang ◽

Yong Yu ◽

...

Keyword(s):

Inference System ◽

Ontology Storage ◽

Owl Ontology

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A Vital Approach for Smart Home System Using OWL Ontology

Lecture Notes in Networks and Systems - Proceedings of 3rd International Conference on Computing Informatics and Networks ◽

10.1007/978-981-15-9712-1_4 ◽

2021 ◽

pp. 33-44

Author(s):

Ria Rawal ◽

Kartik Goel ◽

Preeti Arora

Keyword(s):

Smart Home ◽

Owl Ontology

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Ontology-Based Travel Recommender System

Handbook of Research on 5G Networks and Advancements in Computing, Electronics, and Electrical Engineering - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-7998-6992-4.ch019 ◽

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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NOTEWORTHY: ESPReSSO Single Sign-On Authentication Recommended Practice Published; IEEE Standards Education E-zine Lauanches Inaugural Issue; EPUB3 Becomes Final IDPF Specification; W3C Library Linked Data Incubator Group Issues Final Report; New VRA Core 4.0 Implementation Registry; The Library of Congress Issues Initial Plan for its Bibliographic Framework Transition Initiative; NISO Issues COUNTER-SUSHI Implementation Profile for Public Comment; PREMIS OWL Ontology Available; JISC Collections Issues Journal Transfer Guidelines

Information Standards Quarterly ◽

10.3789/isqv23n4.2011.08 ◽

2011 ◽

Vol 23 (4) ◽

pp. 26

Author(s):

Cynthia Hodgson

Keyword(s):

Linked Data ◽

Final Report ◽

Library Of Congress ◽

Single Sign On ◽

Public Comment ◽

Ieee Standards ◽

Owl Ontology

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From Databases to Ontologies

Database Technologies ◽

10.4018/978-1-60566-058-5.ch145 ◽

2009 ◽

pp. 2360-2383

Author(s):

Guntis Barzdins ◽

Janis Barzdins ◽

Karlis Cerans

Keyword(s):

Conceptual Model ◽

Relational Database ◽

Relational Databases ◽

Database Design ◽

Database Schema ◽

Design Problems ◽

Uml Profile ◽

Domain Experts ◽

Owl Ontology ◽

Rdf Database

This chapter introduces the UML profile for OWL as an essential instrument for bridging the gap between the legacy relational databases and OWL ontologies. We address one of the long-standing relational database design problems where initial conceptual model (a semantically clear domain conceptualization ontology) gets “lost” during conversion into the normalized database schema. The problem is that such “loss” makes database inaccessible for direct query by domain experts familiar with the conceptual model only. This problem can be avoided by exporting the database into RDF according to the original conceptual model (OWL ontology) and formulating semantically clear queries in SPARQL over the RDF database. Through a detailed example we show how UML/OWL profile is facilitating this new and promising approach.

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