An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling
Joint Authors
Barzegar, Maryam
Sadeghi-Niaraki, Abolghasem
Shakeri, Maryam
Choi, Soo-Mi
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-11
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133303