Towards a Socio-technical Ontology Engineering Methodology

D. I. Sensuse, Mesnan Silalahi, I. Budi
{"title":"Towards a Socio-technical Ontology Engineering Methodology","authors":"D. I. Sensuse, Mesnan Silalahi, I. Budi","doi":"10.14355/IJCSA.2014.0303.02","DOIUrl":null,"url":null,"abstract":"The development of the semantic web technology has enabled the integration of existing systems and resources. The implementation can be seen such as in the Linked Open Data initiatives, semantic search and semantic web portal. Ontology has been playing the crucial role for the implementation of the semantic web technology, but the development of ontology itself has lagged behind. Methodologies have been developed for ontology engineering, but most of them focused on the technical rather than the socio-technical aspect. Only a few has approached socio-technically but only partially. This article will describe aspects towards a socio-technical approach in ontology engineering methodology more comprehensively. This approach is important because of the complexity and the social nature of the ontology building process. A comparative study will expose the plus and minus points of methods used within the existing methodologies from the socio-technical point of view. Then a workbench will be proposed that take socio-technical aspect within the ontology engineering methodology into account.","PeriodicalId":39465,"journal":{"name":"International Journal of Computer Science and Applications","volume":"44 1","pages":"111"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14355/IJCSA.2014.0303.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1

Abstract

The development of the semantic web technology has enabled the integration of existing systems and resources. The implementation can be seen such as in the Linked Open Data initiatives, semantic search and semantic web portal. Ontology has been playing the crucial role for the implementation of the semantic web technology, but the development of ontology itself has lagged behind. Methodologies have been developed for ontology engineering, but most of them focused on the technical rather than the socio-technical aspect. Only a few has approached socio-technically but only partially. This article will describe aspects towards a socio-technical approach in ontology engineering methodology more comprehensively. This approach is important because of the complexity and the social nature of the ontology building process. A comparative study will expose the plus and minus points of methods used within the existing methodologies from the socio-technical point of view. Then a workbench will be proposed that take socio-technical aspect within the ontology engineering methodology into account.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
走向社会技术本体工程方法论
语义网技术的发展使现有系统和资源的集成成为可能。这种实现可以在关联开放数据计划、语义搜索和语义门户网站中看到。本体对语义网技术的实现起着至关重要的作用,但本体本身的发展相对滞后。已经为本体工程开发了方法,但大多数方法侧重于技术方面,而不是社会技术方面。只有少数人在社会技术上接近,但只是部分接近。本文将更全面地描述本体工程方法论中社会技术方法的各个方面。由于本体构建过程的复杂性和社会性,这种方法非常重要。一项比较研究将从社会技术的角度揭示现有方法中使用的方法的优点和缺点。然后,将提出一个工作台,考虑本体工程方法论中的社会技术方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Computer Science and Applications
International Journal of Computer Science and Applications Computer Science-Computer Science Applications
自引率
0.00%
发文量
0
期刊介绍: IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.
期刊最新文献
Prediction of Mental Health Instability using Machine Learning and Deep Learning Algorithms Prediction of Personality Traits and Suitable Job through an Intelligent Interview Agent using Machine Learning MultiScale Object Detection in Remote Sensing Images using Deep Learning People Counting and Tracking System in Real-Time Using Deep Learning Techniques Covid-19 Chest X-ray Images: Lung Segmentation and Diagnosis using Neural Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1