Developing an Ontology for Business Process Management Techniques and Tools
محل انتشار: فصلنامه بین المللی وب پژوهی، دوره: 6، شماره: 1
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 72
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJWR-6-1_009
تاریخ نمایه سازی: 11 بهمن 1402
چکیده مقاله:
In line with increasing attention to the scope of Business Process Management (BPM) over the past two decades, many techniques and tools have been introduced. Finding the proper technique and tool in each phase of the business process management life cycle takes time and effort. This study aims to design and develop an ontology to facilitate the selection of suitable techniques and tools at each step of the BPM life cycle. This ontology provides a common understanding of concepts of this domain for computers. The study results showed that two taxonomies for techniques and software tools for business process management were created based on BPM life cycle steps. Then, an ontology was developed for them. Noy & McGuinness methodology was applied to implement this ontology, and Protégé ۵.۲ and owl language were used. Also, the quality criteria-based approach was used for the evaluation of ontology. All the main concepts in the domain of BPM techniques and tools were extracted from previous studies. There are ۲۹۸ terms. ۵۸ of them are domain concepts or classes, ۲ are about taxonomic relations, ۲ are related to data property, and ۲۲۴ are instances. This research used these terms, and the deployed ontology with the quality criteria-based approach was evaluated.
کلیدواژه ها:
Domain Ontology ، Business process management techniques ، Business process management software tools ، the taxonomy of Business process management techniques
نویسندگان
Zahra Ghasemi Nik
Masters of Information Technology Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran
Ameneh Khadivar
Associate professor, Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran
chitra dadkhah
Assistant Professor, Department of Computer Engineering and IT, Faculty of Computer Engineering, K.N.Toosi University of Technology, Tehran, Iran
Samaneh Rahimian
Department of IT Management, Faculty of Management, Tehran University, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :