The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
온톨로지는 지식 표현과 지식 공유에 중요한 특정 도메인 지식의 개념과 관계를 설명합니다. 지난 몇 년 동안 온톨로지 모델링 및 편집을 위한 여러 도구가 도입되었습니다. 온톨로지를 설계하고 개발하는 것은 어려운 작업 중 하나이며 개발 주기를 통해 많은 이해관계자(예: 도메인 전문가, 지식 엔지니어, 애플리케이션 사용자 등)의 많은 협업 활동이 필요하기 때문에 그 과제는 소프트웨어 개발과 매우 유사합니다. 대부분의 기존 도구는 이해관계자가 보다 효과적으로 협업할 수 있도록 지원하는 협업 기능을 제공하지 않습니다. 또한, 온톨로지 개발 업무에 대한 표준 프로세스 채택이 부족하다. 따라서 본 작업에서는 소프트웨어 엔지니어링에서 프로세스 표준으로 사용되는 Scrum 프로세스에 온톨로지 개발 프로세스를 통합했습니다. 스크럼을 기반으로 개발 주기를 단축할 수 있을 뿐만 아니라 모든 변화에 더 빠르고 효과적으로 대응할 수 있는 표준적인 애자일 온톨로지 개발을 수행할 수 있습니다. 이 아이디어를 지원하기 위해 우리는 민첩한 온톨로지 설계 및 개발을 위한 온라인 협업 프레임워크인 스크럼 온톨로지 개발 프레임워크를 제안했습니다. 스크럼 모델을 기반으로 하는 각 온톨로지 개발 프로세스는 이해관계자의 다양한 역할 간 협업 활동을 촉진하는 것을 목표로 프레임워크의 다양한 서비스에서 지원됩니다. 온톨로지 시각화 모델링 및 편집과 같은 서비스 외에도 1) 개념/관계 오해 진단, 2) 교차 도메인 개념 탐지, 3) 개념 분류와 같은 세 가지 중요한 기능도 제공합니다. 이러한 모든 기능을 통해 이해 관계자는 커뮤니티 합의를 통해 도메인 온톨로지의 품질을 향상시키기 위해 이해를 공유하고 공동으로 논의할 수 있습니다.
Akkharawoot TAKHOM
National Electronics and Computer Technology Center,Sirindhorn International Institute of Technology
Sasiporn USANAVASIN
Sirindhorn International Institute of Technology
Thepchai SUPNITHI
National Electronics and Computer Technology Center
Prachya BOONKWAN
National Electronics and Computer Technology Center
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Akkharawoot TAKHOM, Sasiporn USANAVASIN, Thepchai SUPNITHI, Prachya BOONKWAN, "A Collaborative Framework Supporting Ontology Development Based on Agile and Scrum Model" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 12, pp. 2568-2577, December 2020, doi: 10.1587/transinf.2020EDP7041.
Abstract: Ontology describes concepts and relations in a specific domain-knowledge that are important for knowledge representation and knowledge sharing. In the past few years, several tools have been introduced for ontology modeling and editing. To design and develop an ontology is one of the challenge tasks and its challenges are quite similar to software development as it requires many collaborative activities from many stakeholders (e.g. domain experts, knowledge engineers, application users, etc.) through the development cycle. Most of the existing tools do not provide collaborative feature to support stakeholders to collaborate work more effectively. In addition, there are lacking of standard process adoption for ontology development task. Thus, in this work, we incorporated ontology development process into Scrum process as used for process standard in software engineering. Based on Scrum, we can perform standard agile development of ontology that can reduce the development cycle as well as it can be responding to any changes better and faster. To support this idea, we proposed a Scrum Ontology Development Framework, which is an online collaborative framework for agile ontology design and development. Each ontology development process based on Scrum model will be supported by different services in our framework, aiming to promote collaborative activities among different roles of stakeholders. In addition to services such as ontology visualized modeling and editing, we also provide three more important features such as 1) concept/relation misunderstanding diagnosis, 2) cross-domain concept detection and 3) concept classification. All these features allow stakeholders to share their understanding and collaboratively discuss to improve quality of domain ontologies through a community consensus.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7041/_p
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@ARTICLE{e103-d_12_2568,
author={Akkharawoot TAKHOM, Sasiporn USANAVASIN, Thepchai SUPNITHI, Prachya BOONKWAN, },
journal={IEICE TRANSACTIONS on Information},
title={A Collaborative Framework Supporting Ontology Development Based on Agile and Scrum Model},
year={2020},
volume={E103-D},
number={12},
pages={2568-2577},
abstract={Ontology describes concepts and relations in a specific domain-knowledge that are important for knowledge representation and knowledge sharing. In the past few years, several tools have been introduced for ontology modeling and editing. To design and develop an ontology is one of the challenge tasks and its challenges are quite similar to software development as it requires many collaborative activities from many stakeholders (e.g. domain experts, knowledge engineers, application users, etc.) through the development cycle. Most of the existing tools do not provide collaborative feature to support stakeholders to collaborate work more effectively. In addition, there are lacking of standard process adoption for ontology development task. Thus, in this work, we incorporated ontology development process into Scrum process as used for process standard in software engineering. Based on Scrum, we can perform standard agile development of ontology that can reduce the development cycle as well as it can be responding to any changes better and faster. To support this idea, we proposed a Scrum Ontology Development Framework, which is an online collaborative framework for agile ontology design and development. Each ontology development process based on Scrum model will be supported by different services in our framework, aiming to promote collaborative activities among different roles of stakeholders. In addition to services such as ontology visualized modeling and editing, we also provide three more important features such as 1) concept/relation misunderstanding diagnosis, 2) cross-domain concept detection and 3) concept classification. All these features allow stakeholders to share their understanding and collaboratively discuss to improve quality of domain ontologies through a community consensus.},
keywords={},
doi={10.1587/transinf.2020EDP7041},
ISSN={1745-1361},
month={December},}
부
TY - JOUR
TI - A Collaborative Framework Supporting Ontology Development Based on Agile and Scrum Model
T2 - IEICE TRANSACTIONS on Information
SP - 2568
EP - 2577
AU - Akkharawoot TAKHOM
AU - Sasiporn USANAVASIN
AU - Thepchai SUPNITHI
AU - Prachya BOONKWAN
PY - 2020
DO - 10.1587/transinf.2020EDP7041
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2020
AB - Ontology describes concepts and relations in a specific domain-knowledge that are important for knowledge representation and knowledge sharing. In the past few years, several tools have been introduced for ontology modeling and editing. To design and develop an ontology is one of the challenge tasks and its challenges are quite similar to software development as it requires many collaborative activities from many stakeholders (e.g. domain experts, knowledge engineers, application users, etc.) through the development cycle. Most of the existing tools do not provide collaborative feature to support stakeholders to collaborate work more effectively. In addition, there are lacking of standard process adoption for ontology development task. Thus, in this work, we incorporated ontology development process into Scrum process as used for process standard in software engineering. Based on Scrum, we can perform standard agile development of ontology that can reduce the development cycle as well as it can be responding to any changes better and faster. To support this idea, we proposed a Scrum Ontology Development Framework, which is an online collaborative framework for agile ontology design and development. Each ontology development process based on Scrum model will be supported by different services in our framework, aiming to promote collaborative activities among different roles of stakeholders. In addition to services such as ontology visualized modeling and editing, we also provide three more important features such as 1) concept/relation misunderstanding diagnosis, 2) cross-domain concept detection and 3) concept classification. All these features allow stakeholders to share their understanding and collaboratively discuss to improve quality of domain ontologies through a community consensus.
ER -