scholarly journals OOPS! (OntOlogy Pitfall Scanner!)

2014 ◽  
Vol 10 (2) ◽  
pp. 7-34 ◽  
Author(s):  
María Poveda-Villalón ◽  
Asunción Gómez-Pérez ◽  
Mari Carmen Suárez-Figueroa
Keyword(s):  
Empirical Analysis ◽  
Description Logics ◽  
Ontology Development ◽  
Evaluation Tools ◽  
Domain Experts ◽  
Development Platform ◽  
Ontology Evaluation ◽  
Modeling Errors

This paper presents two contributions to the field of Ontology Evaluation. First, a live catalogue of pitfalls that extends previous works on modeling errors with new pitfalls resulting from an empirical analysis of over 693 ontologies. Such a catalogue classifies pitfalls according to the Structural, Functional and Usability-Profiling dimensions. For each pitfall, we incorporate the value of its importance level (critical, important and minor) and the number of ontologies where each pitfall has been detected. Second, OOPS! (OntOlogy Pitfall Scanner!), a tool for detecting pitfalls in ontologies and targeted at newcomers and domain experts unfamiliar with description logics and ontology implementation languages. The tool operates independently of any ontology development platform and is available online. The evaluation of the system is provided both through a survey of users' satisfaction and worldwide usage statistics. In addition, the system is also compared with existing ontology evaluation tools in terms of coverage of pitfalls detected.

OOPS!

2018 ◽  
pp. 120-148
Author(s):  
María Poveda-Villalón ◽  
Asunción Gómez-Pérez ◽  
Mari Carmen Suárez-Figueroa
Keyword(s):  
Web Service ◽  
Empirical Analysis ◽  
Web Application ◽  
Description Logics ◽  
Ontology Development ◽  
Evaluation Tools ◽  
Domain Experts ◽  
Development Platform ◽  
Ontology Evaluation ◽  
Modeling Errors

The first contribution of this paper consists on a live catalogue of pitfalls that extends previous works on modeling errors with pitfalls resulting from an empirical analysis of numerous ontologies. Such a catalogue classifies pitfalls according to the Structural, Functional and Usability-Profiling dimensions. For each pitfall, we include the value of its importance level (critical, important and minor). The second contribution is the description of OntOlogy Pitfall Scanner (OOPS!), a widely used tool for detecting pitfalls in ontologies and targeted at newcomers and domain experts unfamiliar with description logics and ontology implementation languages. The tool operates independently of any ontology development platform and is available through a web application and a web service. The evaluation of the system is provided both through a survey of users' satisfaction and worldwide usage statistics. In addition, the system is also compared with existing ontology evaluation tools in terms of coverage of pitfalls detected.

scholarly journals Ontology Development for Medical and Health Science Domain in the Quran

2018 ◽  
Vol 7 (4.33) ◽  
pp. 504
Author(s):  
Muhammad Afifi Mohamad Safee ◽  
Madihah Mohd Saudi ◽  
Kamarudin Saadan
Keyword(s):  
Health Science ◽  
Ontology Development ◽  
Domain Experts ◽  
Ontology Evaluation ◽  
Sources Of Knowledge ◽  
Ontology Structure ◽  
Science Domain ◽  
Structure Accuracy ◽  
Future Work ◽  
Different Sources

Ontology is known as a knowledge representation and acts as a sharing platform for common ideas within a similar domain. It has a tree structure to ease the information presentation to users. Nowadays, it is very important to have a consistent and systematic way of presenting and retrieving different sources of knowledge such as the Quran and Hadith. Since there is so much useful information that can be retrieved from the Quran, especially for the Medical and Health Science domain, this paper presents the development of ontology for the Medical and Health Science domain in the Quran by adopting the Ontology 101 approach. These include the scope and domain determination, competency question formulation, ontology construction, and ontology evaluation. The proposed ontology in this paper has successfully retrieved the correct answers for Medical and Health Science using related queries via SPARQL-query and has been evaluated by the domain experts. Furthermore, the ontology structure accuracy has also been verified using reasoner, where it detected inconstancy during ontology development. For future work, this research paper can be used as a reference and basis to answer user queries, data integration with other applications or this ontology can be further expanded.  

scholarly journals Thai Tattoo Wisdom’s Representation of Knowledge by Ontology

Informatics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Wirapong Chansanam ◽  
Kulthida Tuamsuk ◽  
Kanyarat Kwiecien ◽  
Kittiya Sutthiprapa ◽  
Thepchai Supnithi
Keyword(s):  
Ontology Development ◽  
Heritage Preservation ◽  
Preservation Planning ◽  
Subjective Analysis ◽  
Domain Experts ◽  
Ontology Evaluation ◽  
Human Validation ◽  
Cultural Heritage Preservation ◽  
Representation Of Knowledge

Sak Yan Ontology (SYO) models knowledge derived from Thai tattoos in the design of cultural heritage preservation planning. Ontology Development 101 is a technique of ontology model creation. The aims of this study are to share the performance of ontology development and ontology evaluation. The study is specifically focused on validation from domain experts and automation evaluated using the OOPS! tools (OntOlogy Pitfall Scanner is a tool that helps detect some of the most common pitfalls appearing when developing ontologies). The results obtained from OOPS! show that SYO is devoid of critical errors; however, it does have one critical, three important, and three minor problems. Four of the problems are fixed, whereas the others are continuous. The combination of automatic and human validation methodologies improves the quality of the ontology being modeled. The tools enhance the traditional methodology with quicker, easier, and smaller amounts of subjective analysis. In conclusion, for the reparation movement, solutions for the above problems are suggested.

scholarly journals Model-driven development platform selection: four industry case studies

2021 ◽  
Author(s):  
Siamak Farshidi ◽  
Slinger Jansen ◽  
Sven Fortuin
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Decision Makers ◽  
Development Activity ◽  
Model Driven Development ◽  
Domain Experts ◽  
Theoretical Contribution ◽  
Model Driven ◽  
Development Platform ◽  
Software Production

AbstractModel-driven development platforms shift the focus of software development activity from coding to modeling for enterprises. A significant number of such platforms are available in the market. Selecting the best fitting platform is challenging, as domain experts are not typically model-driven deployment platform experts and have limited time for acquiring the needed knowledge. We model the problem as a multi-criteria decision-making problem and capture knowledge systematically about the features and qualities of 30 alternative platforms. Through four industry case studies, we confirm that the model supports decision-makers with the selection problem by reducing the time and cost of the decision-making process and by providing a richer list of options than the enterprises considered initially. We show that having decision knowledge readily available supports decision-makers in making more rational, efficient, and effective decisions. The study’s theoretical contribution is the observation that the decision framework provides a reliable approach for creating decision models in software production.

scholarly journals SWRL: Rule Acquisition Using Ontology

2009 ◽  
Vol 40 (1) ◽  
pp. 117-122 ◽  
Author(s):  
Darya Plinere ◽  
Arkady Borisov
Keyword(s):  
Knowledge Acquisition ◽  
Main Issue ◽  
Ontology Development ◽  
Rule Based ◽  
Development Platform ◽  
Rule Acquisition ◽  
Rule System ◽  
Rule Based Systems

SWRL: Rule Acquisition Using Ontology Nowadays rule-based systems are very common. The use of ontology-based systems is becoming ever more popular, especially in addition to the rule-based one. The most widely used ontology development platform is Protégé. Protégé provides a knowledge acquisition tool, but still the main issue of the ontology-based rule system is rule acquisition. This paper presents an approach to using SWRL rules Tab, a plug-in to Protégé, for rule acquisition. SWRL rules Tab transforms conjunctive rules to Jess rules in IF…THEN form.

scholarly journals Creating explorable extended reality environments with semantic annotations

2020 ◽  
Author(s):  
Jakub Flotyński
Keyword(s):  
Domain Knowledge ◽  
Description Logics ◽  
Main Element ◽  
Arbitrary Domain ◽  
Aspect Oriented Programming ◽  
Domain Experts ◽  
Semantic Annotations ◽  
Knowledge Based ◽  
And Control ◽  
3D Content

Abstract The main element of extended reality (XR) environments is behavior-rich 3D content consisting of objects that act and interact with one another as well as with users. Such actions and interactions constitute the evolution of the content over time. Multiple application domains of XR, e.g., education, training, marketing, merchandising, and design, could benefit from the analysis of 3D content changes based on general or domain knowledge comprehensible to average users or domain experts. Such analysis can be intended, in particular, to monitor, comprehend, examine, and control XR environments as well as users’ skills, experience, interests and preferences, and XR objects’ features. However, it is difficult to achieve as long as XR environments are developed with methods and tools that focus on programming and 3D modeling rather than expressing domain knowledge accompanying content users and objects, and their behavior. The main contribution of this paper is an approach to creating explorable knowledge-based XR environments with semantic annotations. The approach combines description logics with aspect-oriented programming, which enables knowledge representation in an arbitrary domain as well as transformation of available environments with minimal users’ effort. We have implemented the approach using well-established development tools and exemplify it with an explorable immersive car showroom. The approach enables efficient creation of explorable XR environments and knowledge acquisition from XR.

EasyOnto: A Collaborative Semiformal Ontology Development Platform

2017 ◽  
pp. 1-11
Author(s):  
Usha Yadav ◽  
B. K. Murthy ◽  
Gagandeep Singh Narula ◽  
Neelam Duhan ◽  
Vishal Jain
Keyword(s):  
Ontology Development ◽  
Development Platform

Ontology development by domain experts (without using the “O” word)

2017 ◽  
Vol 12 (3-4) ◽  
pp. 299-311 ◽  
Author(s):  
Andrea Westerinen ◽  
Rebecca Tauber
Keyword(s):  
Ontology Development ◽  
Domain Experts

scholarly journals An Ontology-Based Model for Treatment Guidelines of Internet and Games Addiction

2019 ◽  
Vol 8 (2S2) ◽  
pp. 113-117
Keyword(s):  
Risk Factors ◽  
Recommendation System ◽  
Treatment Guidelines ◽  
Difficult Problem ◽  
Ontology Development ◽  
The Internet ◽  
Evaluation Result ◽  
Domain Experts ◽  
States Data ◽  
Profile Characteristics

Internet and games addiction will become a difficult problem for the parents, because the internet and games easier to access and has more contents. Thus, the number of internet and games addiction will be increasing in the future. This study recommends ontology expansion for treatment guidelines of internet and games addiction that will use as the component of recommendation system in web technology. This study’s methodology can be condensed into three states; data collection ontology development, and evaluation. This ontology included seven main classes, there are profile, characteristics, risk factors, devices, treatment, and GAST. The evaluation result that conducted by domain experts included a highly-superior concentration of 88.34%, which confirms that this ontology may be employed for developing a recommendation system.

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