Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills

Чуприна, Светлана; Alexandrov, Vassil N.; Alexandrov, Nia

doi:10.1016/j.procs.2016.05.447

Cited by 13 publications

(4 citation statements)

References 4 publications

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“…For this study, the main steps of the ontology development process documented in [ 16 , 17 ] have been considered. Furthermore, some guidelines from the METHONTOLOGY method [ 15 ] were followed: Most of the knowledge is acquired at the beginning of the ontology construction.…”

Section: Methodsmentioning

confidence: 99%

“…In many methodologies, the main activities oriented to ontology development can be grouped into pre-development, development and post-development activities. As documented in [ 15 ], the main steps of the ontology development are usually scope definition, knowledge acquisition, conceptualization, formalization and evaluation and, according to [ 16 , 17 ], can be further decomposed as follows: Determine the domain and scope of the ontology Consider reusing existing ontologies Enumerate important terms in the ontology Define the classes and the class hierarchy Define attributes and relationships Define the restrictions of the properties Create instances …”

Section: The Current Status Of Icfmentioning

confidence: 99%

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Ontological modeling of the International Classification of Functioning, Disabilities and Health (ICF): Activities&Participation and Environmental Factors components

Cozzi

Martinuzzi²,

Mea

2021

BMC Med Inform Decis Mak

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Background The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related states developed by the World Health Organization (WHO) to provide a standard and unified language to be used as a reference model for the description of health and health-related states. The concept of functioning on which ICF is based is that of a “dynamic interaction between a person’s health condition, environmental factors and personal factors”. This overall model has been translated into a classification covering all the main components of functioning. However, the practical use of ICF has highlighted some formal problems, mainly concerning conceptual clarity and ontological coherence. Methods In the present work, we propose an initial ontological formalization of ICF beyond its current status, focusing specifically on the interaction between activities and participation and environmental factors. The formalization has been based on ontology engineering methods to drive goal and scope definition, knowledge acquisition, selection of an upper ontology for mapping, conceptual model definition and evaluation, and finally representation using the Ontology Web Language (OWL). Results A conceptual model has been defined in a graphical language that included 202 entities, when possible mapped to the SUMO upper ontology. The conceptual model has been validated against 60 case studies from the literature, plus 6 ad-hoc case studies. The model has been then represented using OWL. Conclusions This formalization might provide the basis for a revision of the ICF classification in line with current efforts made by WHO on the International Classification of Diseases and on the International Classification of Health Interventions.

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Section: Methodsmentioning

confidence: 99%

Section: The Current Status Of Icfmentioning

confidence: 99%

Ontological modeling of the International Classification of Functioning, Disabilities and Health (ICF): Activities&Participation and Environmental Factors components

Cozzi

Martinuzzi²,

Mea

2021

BMC Med Inform Decis Mak

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show abstract

“…Ontology learning techniques have been explored in different research domains such as tourism [8], [9], medicine [10], [11], and computer science [12], [13]. Moreover, researchers have developed tools for ontology development tasks, such as the ROBOT tool [14].…”

Section: Related Workmentioning

confidence: 99%

Ontology Learning of New Concepts Combining Textural Knowledge, Visual Analysis, and User Interaction

Gómez

Miura

2021

IEEE Access

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The continuous development of new technology has been contributing to making service robots an upcoming reality. Robots need to adapt to changing environments when interacting with people is fundamental. Hence, service robots at home need learning capabilities to acquire new knowledge and merge it with their own. In this system, a robot is provided with an essential feature to adapt inside a home environment. We focus on the learning of new ontological concepts oriented to service robot applications. We propose combining textural knowledge, visual analysis and user interaction to determine the correct placement of the new concept in the ontology structure. We aim to make the robot able to extend its ontological knowledge as needed. We conducted a set of experiments to show the applicability of the presented method and the advantage of having the objects conceptualized in ontological knowledge. The experiments consisted of two parts: concept learning experiments and experiments with an integrated robot system. In the concept learning experiments, the robot had to conceptualize a set of new objects in its ontological knowledge. While in the integrated robot system experiments, the robot was asked to search and find the new objects learned.INDEX TERMS Concept learning, ontology learning, robot learning, human-robot interaction.

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“…In addition, separating domain knowledge from operational knowledge will allow the use of operational knowledge in different domains. Building an ontology will also facilitate the analysis of domain knowledge, which in turn will greatly help in reusing existing ontologies [4]. Particularly for software engineering, ontologies have many advantages such as using the same terminology between software developers for different software applications [5] and, more specifically in software requirements engineering, ensure requirements consistency and facilitate communication between requirements engineers [6].…”

Section: Introductionmentioning

confidence: 99%

A Domain Ontology for Software Requirements Change Management in Global Software Development Environment

2019

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Ontology and its role in both software engineering and knowledge management fields have been widely reported in the literature. Numerous studies have proven the effectiveness of using ontologies to support the process of requirements engineering. One of the main problems facing requirements engineering is that the requirements are exposed to change. In fact, this problem swells even more in global software development (GSD) environment. Given that this problem is unavoidable, we need to improve the requirements change management (RCM) process. In this paper, a systematic domain ontology for RCM especially in GSD environment is proposed. A hybrid method combining Methontology and the 101 method is used for its development; Web Ontology Language (OWL) for its representation; and Protégé for its implementation. It was validated using ontology content evaluation and competency question evaluation methods. Also, it was verified using both ontology taxonomy evaluation and FOCA evaluation methods. Validation and verification results showed that the proposed ontology was successfully built. Building this ontology can be considered as a base contribution in supporting the RCM process in GSD.INDEX TERMS Requirement engineering, global software development, requirement change management, ontology.

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Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills

Cited by 13 publications

References 4 publications

Ontological modeling of the International Classification of Functioning, Disabilities and Health (ICF): Activities&Participation and Environmental Factors components

Ontological modeling of the International Classification of Functioning, Disabilities and Health (ICF): Activities&Participation and Environmental Factors components

Ontology Learning of New Concepts Combining Textural Knowledge, Visual Analysis, and User Interaction

A Domain Ontology for Software Requirements Change Management in Global Software Development Environment

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