scholarly journals Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus

2021 ◽  
Vol 18 (2(Suppl.)) ◽  
pp. 0856
Author(s):  
Roslina Othman ◽  
Siti Fatimah Mohd Tawil
Keyword(s):  
Content Management ◽  
Online Resources ◽  
Ontology Development ◽  
Accurate Information ◽  
Subject Domain ◽  
Domain Experts ◽  
School Counsellors ◽  
Essential Input ◽  
User Assessment ◽  
Counselling Intervention

Do’a and Zikr al-Mā’thur (authentic supplications and remembrance of ALLAH ‘Azza wa Jalla) can be suggested to Muslims to help them deal with challenges or issues in life. Counselling cases affect a person’s feelings. Do’a and Zikr al-Mā’thur are often applied as a counselling intervention. Unfortunately, the authentic Do’a and Zikr al-Mā’thur are dispersed in many resources not visible to users, and the fact that not all online resources offer access to accurate Do’a and Zikr al-Mā’thur to users and the dubious Do’a and Zikr al-Mā’thur frequently credited to the Prophet (pbuh). The goal of this research is to develop an ontology for the purpose of providing credible results to counselling cases in need of relevant Do’a and Zikr Al- Ma’thur. This research focused on presenting how an ontology could support to provide accurate information to cases supervised by high school counsellors. This research developed the ontology for Do’a and Zikr al-Mā’thur for counselling in Protégé. The methodology implemented in the ontology development included the models designed by Fernandez-Lopez et al., Thunkijjanukij, Gomez-Perez et al., and Kreider. The ontology was verified, validated, and evaluated by two subject domain experts. Most concepts were rated as ‘Compliant’ and some as ‘Partially Compliant’. Queries in SPARQL produced answers to the competency questions. Feedbacks from the user assessment proved that the executed results from the Do’a and Zikr al-Mā’thur ontology for counselling succeeded in fulfilling the users’ requirement. It is recommended that the sustainability of the ontology should be secured through constant submission of real cases by counsellors and people with similar roles for query analysis and results. Credible scholars should provide direction to trustworthy sources. Such essential input is valuable for content management and contributes towards very few domain ontologies that deliver support to professional works. It also provides the step-by-step procedures to ontology construction and assessment for Islamic collection for counselling intervention.

scholarly journals A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health

2021 ◽  
Vol 5 (4) ◽  
pp. 57
Author(s):  
Yusuf Sermet ◽  
Ibrahim Demir
Keyword(s):  
Public Health ◽  
Semantic Web ◽  
Information Needs ◽  
Heuristic Algorithms ◽  
Accurate Information ◽  
Domain Experts ◽  
Web Technologies ◽  
Public Health Departments ◽  
Web Framework ◽  
Control And Prevention

The COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources. However, several challenges and obstacles hold back the wide adoption of virtual assistants by public health departments and organizations. This paper presents the Instant Expert, an open-source semantic web framework to build and integrate voice-enabled smart assistants (i.e., chatbots) for any web platform regardless of the underlying domain and technology. The component allows non-technical domain experts to effortlessly incorporate an operational assistant with voice recognition capability into their websites. Instant Expert is capable of automatically parsing, processing, and modeling Frequently Asked Questions pages as an information resource as well as communicating with an external knowledge engine for ontology-powered inference and dynamic data use. The presented framework uses advanced web technologies to ensure reusability and reliability, and an inference engine for natural-language understanding powered by deep learning and heuristic algorithms. A use case for creating an informatory assistant for COVID-19 based on the Centers for Disease Control and Prevention (CDC) data is presented to demonstrate the framework’s usage and benefits.

scholarly journals Automatic Acquisition of Failure Mode and Effect Analysis Ontology for Sustainable Risk Management

2020 ◽  
Vol 12 (23) ◽  
pp. 10208
Author(s):  
Zobia Rehman ◽  
Claudiu Vasile Kifor ◽  
Farhana Jabeen ◽  
Sheneela Naz ◽  
Muhammad Waqar
Keyword(s):  
Failure Mode ◽  
Semantic Content ◽  
Content Management ◽  
Knowledge Management System ◽  
Successful Completion ◽  
Major Objective ◽  
Effect Analysis ◽  
Domain Experts ◽  
Complete Knowledge ◽  
Two Factors

In this piece of research, we have presented an approach to populate Failure Mode and Effect Analysis (FMEA) ontology from existing worksheets prepared by experts. FMEA is a commonly used method for risk assessment in any organization. This method is initiated by domain experts who analyze all the associated risks to a product or process, their causes, severity, effects and mitigation actions. Besides domain experts, time and cost are the other two factors involved in successful completion of FMEA. Reusability of the knowledge produced at the end of this method can bring numerous benefits to an organization. Some ontologies are available for semantic content management of FMEA knowledge but in order to avail their full benefits, it is must that they can acquire the existing knowledge automatically. Major objective of this article is to develop an algorithm, which can populate FMEA ontology from existing worksheets. Major contribution of this work is to identify an existing FMEA ontology and its evaluation for schema and relationship richness, then its automatic population using proposed algorithm without human intervention, and finally making it a part of complete knowledge management system. Our proposed algorithm correctly mapped 1357 instances to FMEA ontology from manually prepared FMEA spreadsheets. This FMEA ontology has been queried by domain experts and it was proved to be very helpful in experts like decision-making.

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.

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.

EpidVis: A visual web querying tool for animal epidemiology surveillance

2019 ◽  
Vol 19 (1) ◽  
pp. 48-64 ◽  
Author(s):  
Samiha Fadloun ◽  
Arnaud Sallaberry ◽  
Alizé Mercier ◽  
Elena Arsevska ◽  
Mathieu Roche ◽  
...  
Keyword(s):  
Information Integration ◽  
Disease Surveillance ◽  
User Study ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Early Warning Systems ◽  
External Information ◽  
Accurate Information ◽  
Domain Experts ◽  
Epidemic Intelligence

The use of electronic media for the detection and monitoring of animal disease outbreaks is crucial for disease surveillance and early warning systems. Animal health specialists regularly query web pages using various formulations to obtain up-to-date news on disease outbreaks. This task, however, is often manual and time-consuming. Visualization techniques can nevertheless facilitate their web searches, compared to traditional searches. This article presents EpidVis, a visual web query tool designed for experts in animal health, conducting epidemic intelligence activities from news sources on the Internet. It consists of several views that help the domain experts efficiently build and launch queries, as well as visualize the results. Moreover, it supports external information integration to help domain experts enrich their knowledge and adapt their queries. EpidVis was assessed considering usability (user study) and usefulness for experts (case study). The results show that our tool helps domain experts in their daily surveillance tasks, allowing them to extract in timely manner accurate information on disease outbreaks from the web.

Ontology based knowledge representation: Case study from agriculture domain

2021 ◽  
Vol 25 (1) ◽  
pp. 97-108
Author(s):  
Nidhi Malik ◽  
Deena Hijam ◽  
Aditi Sharan
Keyword(s):  
Knowledge Representation ◽  
Large Scale ◽  
Relevant Information ◽  
Ontology Development ◽  
Common Data Model ◽  
Domain Experts ◽  
Agriculture Sector ◽  
Time Usage ◽  
Representation Scheme

The growth of web has touched everyone’s life from an economist, entrepreneur, and academician to a farmer. The agriculture sector is quite important for any country’s growth. Farmers can also be benefited if they are provided with relevant information they need. The reason that it is not happening on a large scale is due to many reasons. Information is available in different formats, platforms and it is highly unstructured. The availability and real time usage of this information is prohibited mainly by the way it is represented. Recently, Ontology has emerged as one of very expressive knowledge representation scheme which enables gathering information from heterogeneous sources and creates a common data model that is shared and agreed upon in diverse domains. The interoperability and deduction capabilities that Ontology offers are very useful for generating new knowledge. Most of the work pertaining to ontology development in agriculture domain is crop specific, where information about fertilizers is confined to a particular crop only. In this paper, we have designed and developed a generic ontology for fertilizers. Fertilizer itself is a concept which should be modeled independently. Even for crop specific ontology, fertilizer is one of the most important concept to be captured. So, it needs to be represented independently. Finding this research gap, an ontology in fertilizer subdomain is developed, taking into account the various issues that are faced while constructing an ontology and the enormous amount of data that is available but is not easy to structure and present in the form of ontology. We have also validated the Ontology using an available tool and domain experts have also validated the developed Ontology.

scholarly journals El papel de la orientación en el fomento de la ética y prevención del fraude en los exámenes.

2014 ◽  
Vol 16 (2) ◽  
pp. 189
Author(s):  
Azuka N. G. Alutu ◽  
Oyaziwo Aluede
Keyword(s):  
Secondary Schools ◽  
School Principals ◽  
Significant Others ◽  
Intervention Strategies ◽  
Hard Work ◽  
Common Occurrence ◽  
School Students ◽  
School Counsellors ◽  
Set Up ◽  
Counselling Intervention

RESUMENEn este artículo se presenta un estudio llevado a cabo en Benin (Nigeria) mediante el cual se evaluó la percepción que tiene el alumnado de secundaria sobre la ética y el fraude (malas prácticas) en los exámenes. Se seleccionó a una muestra de 200 estudiantes (100 chicos y 100 chicas) de 12 a 15 años pertenecientes a dos institutos de Secundaria de la ciudad de Benin (Nigeria), elegidos al azar. Para la recogida de datos se aplicaron dos cuestionarios, uno sobre "Fraude en los Exámenes" y el otro sobre "Ética en los Exámenes". Este último solo se aplicó a una muestra de 45 estudiantes que participaban en un seminario sobre técnicas de estudio y preparación para los exámenes. En la introducción se presenta el estado de la cuestión y se justifica la necesidad de abordar estas cuestiones. En la parte empírica se describe brevemente la metodología y se presentan los resultados así como su interpretación. Además de la discusión de los resultados y conclusiones se derivan unas implicaciones para la práctica orientadora. El estudio realizado reveló que la mayoría de estudiantes considera que las malas prácticas y el fraude en los exámenes era algo generalizado y difícil de erradicar. Se puso de manifiesto que tanto los padres, como el profesorado y los equipos directivos alentaban estas malas prácticas y el copiar en los exámenes. También se encontró que la mayoría de los estudiantes tenían una noción muy errónea acerca de la ética en los exámenes, y se examinan las distintas causas por las que esto ocurre Ç(entre otras baja autoestima). El papel que puede jugar la orientación en prevenir estas malas prácticas y capacitar a los alumnos y demás agentes implicados en su educación es crucial. Se sugieren distintas formas de intervención para promover una conducta más responsable en los exámenes, como por ejemplo crear clubes de ética”, y se hace énfasis en la necesaria colaboración entre orientadores, autoridades académicas, familias (a través de las asociaciones) y estudiantes.ABSTRACTSecondary school students’ perceptions of examination malpractices and examination ethics were assessed. The participants were drawn from Secondary Schools in the Benin Metropolis of Nigeria.The study revealed that majority of the students believed that their indulgence in examination malpractice was a common occurrence, which will be difficult to eradicate. Parents, teachers and school principals were found to encourage cheating in examinations.The study also revealed that majority of the students had a very wrong notion about examination ethics; believing that examination ethics entail among others sitting next to someone in order to copy from his/her paper in the examination hall. In all, counselling intervention strategies such as: school counsellors partnering with the school authorities and students to set up examination ethics clubs that will teach the virtues of hard work; school counsellors partnering with parents/ teachers associationsand other significant others on strategies that would help to inculcate in them the virtues of “responsibility” were advocated.

scholarly journals From classroom tutor to hypertext adviser: an evaluation

2002 ◽  
Vol 10 (3) ◽  
Author(s):  
Michael Kemp ◽  
H. C. Davis ◽  
William Roche ◽  
Wendy Hall
Keyword(s):  
Student Performance ◽  
Learning Experience ◽  
Undergraduate Curriculum ◽  
The Body ◽  
Central Component ◽  
First Year ◽  
Subject Domain ◽  
Domain Experts ◽  
Medical Undergraduate

This paper describes a three-year experiment to investigate the possibility of making economies by replacing practical laboratory sessions with courseware while attempting to ensure that the quality of the student learning experience did not suffer. Pathology labs are a central component of the first-year medical undergraduate curriculum at Southampton. Activities in these labs had been carefully designed and they were supervised by lab demonstrators who were subject domain experts. The labs were successful in the eyes of both staff and students but were expensive to conduct, in terms of equipment and staffing. Year by year evaluation of the introduction of courseware revealed that there was no measurable difference in student performance as a result of introducing the courseware, but that students were unhappy about the loss of interaction with the demonstrators. The final outcome of this experiment was a courseware replacement for six labs which included a software online hypertext adviser. The contribution of this work is that it adds to the body of empirical evidence in support of the importance of maintaining dialogue with students when introducing courseware, and it presents an example of how this interaction might be achieved in software.DOI:10.1080/0968776020100304

ExtruOnt: An ontology for describing a type of manufacturing machine for Industry 4.0 systems

Semantic Web ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 887-909
Author(s):  
Víctor Julio Ramírez-Durán ◽  
Idoia Berges ◽  
Arantza Illarramendi
Keyword(s):  
Industry 4.0 ◽  
Development Process ◽  
Extrusion Process ◽  
Ontology Development ◽  
Development Effort ◽  
Close Collaboration ◽  
Domain Experts ◽  
Different Types ◽  
Types Of Information ◽  
Manufacturing Machine

Semantically rich descriptions of manufacturing machines, offered in a machine-interpretable code, can provide interesting benefits in Industry 4.0 scenarios. However, the lack of that type of descriptions is evident. In this paper we present the development effort made to build an ontology, called ExtruOnt, for describing a type of manufacturing machine, more precisely, a type that performs an extrusion process (extruder). Although the scope of the ontology is restricted to a concrete domain, it could be used as a model for the development of other ontologies for describing manufacturing machines in Industry 4.0 scenarios. The terms of the ExtruOnt ontology provide different types of information related with an extruder, which are reflected in distinct modules that constitute the ontology. Thus, it contains classes and properties for expressing descriptions about components of an extruder, spatial connections, features, and 3D representations of those components, and finally the sensors used to capture indicators about the performance of this type of machine. The ontology development process has been carried out in close collaboration with domain experts.

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