An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling
المؤلفون المشاركون
Barzegar, Maryam
Sadeghi-Niaraki, Abolghasem
Shakeri, Maryam
Choi, Soo-Mi
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-11
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Every day, people are hired in different organizations and old and retiring employees are eliminated from enterprise systems.
Eliminating these individuals from organizations leads to the loss of their spatial experiences.
In addition, since new employees lack relevant experience, they need a long time to develop the correct skills for the company and may even cause damage to the organization during this learning process.
Therefore, storing the spatial experience of individuals is a critical issue.
Due to the intelligence of ubiquitous Geospatial Information System (GIS), any experience from any user can be received and stored.
In the future, based on these experiences, an appropriate service to each user may be provided as needed.
This paper aims to propose an ontology-based model to store spatial experiences in the field of ubiquitous GIS route finding.
For this purpose, first ontology is designed for route finding, and then according to this ontology, an ontology-based route-finding algorithm is developed for ubiquitous GIS.
Finally, this algorithm is implemented for Tehran, Iran, and its results are compared with the shortest path algorithm (Dijkstra’s algorithm) in terms of the route length and travel time for peak traffic time.
The results show that while the route length obtained from the ontology-based algorithm is more than Dijkstra’s algorithm, the travel time is lower, and on some routes the difference in travel time saved reaches 35 minutes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Barzegar, Maryam& Sadeghi-Niaraki, Abolghasem& Shakeri, Maryam& Choi, Soo-Mi. 2019. An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling. Complexity،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1133303
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Barzegar, Maryam…[et al.]. An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling. Complexity No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1133303
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Barzegar, Maryam& Sadeghi-Niaraki, Abolghasem& Shakeri, Maryam& Choi, Soo-Mi. An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling. Complexity. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1133303
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133303
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر