Systems and Means of Informatics
2023, Volume 33, Issue 2, pp 46-59
SELECTION OF TECHNOLOGICAL SOLUTIONS TO SUPPORT THE PROCESS OF SYNTHESIS OF GEODATA OF RAILWAY TRANSPORT INFRASTRUCTURE
- I. N. Rozenberg
- S. K. Dulin
Abstract
Datafusion is a process in which data combined from multiple sources are used for analysis to produce more consistent, accurate, and useful information. Receiving and merging data from sensors is defined as multisensor data fusion.
The most striking example of data fusion is the person himself who constantly combines data coming from all the senses to perform the necessary actions in the environment. In particular, a person would not be able to drive a car without the fusion of visual, auditory, and motor data. In geoinformatics, instead of geodata synthesis, the term geodata integration is often used. Modern geographic information systems can combine different geodatasets so that the resulting geodatasets contain attributes and metadata not available for the points in the combined datasets. The article analyzes the categories and models of geodata synthesis used to ensure the relevance of the spatial data system in the infrastructure of railway transport.
[+] References (14)
- Stankute, S., and H. Asche. 2012. A data fusion system for spatial data mining, analysis and improvement. Computational science and its applications. Eds. B. Murgante,
O. Gervasi, S. Misra, et al. Lecture notes in computer science ser. Berlin-Heidelberg: Springer. 7334:439-449. doi: 10.1007/978-3-642-31075-03.
- OGC. Web services testbed, phase 8 (OWS-8) demonstrations. Available at: https:// www.ogc.org/standards (accessed April 20, 2023).
- Open Geospatial Consortium. OGC. Fusion Standards Study Engineering Report (Part 1 ER). Available at: https://www.semanticscholar.org/paper/Geodata- fusion-study-by-the-Open-Geospatial-Percivall/ef52e9587bc3cd12c19f9dfdf7b597300 758c8cc (accessed April 20, 2023).
- Ciuonzo, D., and P. Salvo Rossi. 2014. Decision fusion with unknown sensor detection probability. IEEE Signal Proc. Let. 21(2): 1-5.
- Multi-Agency Situational Awareness System (MASAS). Available at: https:// proceedings.esri.com/library/userconf/hssll/papers/situationaljwareness.tools. emergency_management%20(pdonnell).pdf (accessed April 20, 2023).
- Integrated public alerting and warning system (IPAWS). Available at: https:// www.fema.gov/emergency-managers/practitioners/integrated-public-alert-warning- system (accessed April 20, 2023).
- Dorion, E., and S. Fortin. 2007. Multi-source semantic integration - revisiting the theory of signs and ontology alignment principles. 10th Conference (International) on
Information Fusion. 1-6. doi: 10.1109/ICIF.2007.4408139.
- Dulin, S. K., N. G. Dulina, and P. V. Ermakov. 2020. Information fusion of documents. Informatika i ee Primeneniya - Inform. Appl. 14(1):128-135. doi: 10.14357/ 19922264200117.
- Dulin, S.K., I.N. Rozenberg, and V.I. Umanskiy. 2019. O probleme integratsii informatsionnykh resursov [About the problem of information resources integration]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 29(3): 127-138. doi: 10.14357/08696527190311.
- Dulin, S.K., N. G. Dulina, and O. S. Kozhunova. 2019. Sintez geodannykh v prostranstvennykh infrastrukturakh na osnove svyazannykh dannykh [Synthesis of geodata in spatial infrastructures based on related data]. Informatika i ee Primeneniya - Inform. Appl. 13(1):82-90. doi: 10.14357/19922264190112.
- Pravia, M., R. K. Prasanth, P. O. Arambel, et al. 2008. Generation of a fundamental data set for hard/soft information fusion. 11th Conference (International) on Information Fusion Proceedings. Cologne: International Society of Information Fusion. 134-145.
- Gulyayev, Yu.V., E.E. Zhuravlev, and A.Ya. Oleynikov. 2012. Metodologiya stan- dartizatsii dlya obespecheniya interoperabel'nosti informatsionnykh sistem shirokogo klassa. Analiticheskiy obzor [Standardization methodology to ensure the interoperability of information systems of a wide class. Analytical review]. Zh. radioelektroniki [J. Radio Electronics] 3:18-25.
- Umansky, V.I., S.K. Dulin, S.V. Trusov, and D.A. Yakushev. 2017. Avtomatiza- tsiya sbora i obrabotki prostranstvennykh dannykh zheleznodorozhnoy infrastruktury [Automated methods of collecting and processing spatial data for the railway transport infrastructure]. Zheleznodorozhnyy transport [Railway Tranport] 10:46-49.
- Dulin, S.K., N. G. Dulina, and P.V. Ermakov. 2014. Intellektualizatsiya dostupa k geodannym na osnove semanticheskoy geointeroperabel'nosti [Intellectualization of access to geodata based on semantic geointeroperability]. Informatsionno-izmeritel'nye
i upravlyayushchie sistemy [J. Information-Measuring and Control Systems] 12(8): 41-47.
[+] About this article
Title
SELECTION OF TECHNOLOGICAL SOLUTIONS TO SUPPORT THE PROCESS OF SYNTHESIS OF GEODATA OF RAILWAY TRANSPORT INFRASTRUCTURE
Journal
Systems and Means of Informatics
Volume 33, Issue 2, pp 46-59
Cover Date
2023-06-10
DOI
10.14357/08696527230205
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
data synthesis; categories of data synthesis; data synthesis model
Authors
I. N. Rozenberg and S. K. Dulin ,
Author Affiliations
Research & Design Institute for Information Technology, Signalling, and Telecommunications on Railway Transport, 27-1 Nizhegorodskaya Str., Moscow 109029, Russian Federation
Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
|