DOI: 
10.22389/0016-7126-2024-1011-9-33-45
1 Yankelevich S.S.
2 Kukharenko E.L.
Year: 
№: 
1011
Pages: 
33-45

Siberian State University of Geosystems and Technologies

1, 
2, 
Abstract:
The article deals with substantiating the contents, structure and software implementation of the geospatial knowledge base. The importance and relevance of forming its infrastructure and the corresponding informational base on the territory in modern geoinformatics and cartography are noted. The requirements for the contents, formal and logical representation of the mentioned base, its structure and connections of the elements at the logical level are given. The authors consider the software implementation of the processes of searching and issuing geospatial knowledge in a visualized form at the request of untrained users in the field of geoinformatics and cartography. The requisitions and information on the special original software, which allows observing the contents of the geospatial knowledge base, are shown. The effectiveness of visualizing the geospatial knowledge base through interactive configuration of software elements is substantiated, based on the metadata principle proposed by the authors, two formalisms and an algorithm for creating corresponding services for geospatial knowledge and other related data. These formalisms of the client’s parameters and server software applications are described, a variant of the geospatial knowledge base structure is given, and the requirements for the necessary software for the effective solution of the task are formulated. The authors` solution is considered in the form of a complex of multicomponent software, used at working with geodata and creating their own interactive maps by poorly trained non-professional users
References: 
1.   Andreeva O. A. Geoinformatsionnoe modelirovanie pri proektirovanii lineinykh ob"ektov. ITNOU: informatsionnye tekhnologii v nauke, obrazovanii i upravlenii, 2019, no. 1 (11), pp. 30–39.
2.   Volynskii A. I. Mezouroven' kak ob"ekt issledovaniya v ekonomicheskoi literature sovremennoi Rossii. Zhurnal institutsional'nykh issledovanii, 2017, no. 3 (9), pp. 36–49.
3.   Gmar' D. V., Ignatova Yu. A., Tsuranov E. V., Shakhgel'dyan K. I. Effektivnye metody raboty s vertikal'noi model'yu dannykh. Informatsionnye tekhnologii i vychislitel'nye sistemy, 2015, no. 2, pp. 68–78.
4.   Duplenko A. G. Etapy i tendentsii razvitiya geoinformatsionnykh sistem. Molodoi uchenyi, 2015, no. 9 (89), pp. 115–117.
5.   Lyuger D. F. Iskusstvennyi intellekt: strategii i metody resheniya slozhnykh problem. Per. s angl. N. I. Galagana, L. D. Protasovoi, N. N. Kussul'. – 4-e izd. Moskva: Vil'yams, 2003, 864 p.
6.   Rzhavin V. V., Oblomov I. A., Fadeeva K. N. Ispol'zovanie shablonov proektirovaniya relyatsionnykh baz dannykh v praktike vysshei shkoly. Sovremennye naukoemkie tekhnologii, 2022, no. 10 (ч. 1), pp. 84–88.
7.   Yankelevich S. S. K voprosu sozdaniya infrastruktury geoprostranstvennykh znanii. Informatsiya i kosmos, 2023, no. 2, pp. 114–120.
8.   Yankelevich S. S. Tematicheskoe kartografirovanie na baze geoprostranstvennykh znanii i kognitivnogo podkhoda. Tematicheskie karty i atlasy: sovremennye kontseptsii nauchnogo soderzhaniya, novye tekhnologii sozdaniya i ispol'zovaniya. Materialy XI mezhdunarodnoi nauchnoi konferentsii po tematicheskoi kartografii, Irkutsk: Institut geografii im. V. B. Sochavy Sibirskogo otdeleniya RAN, 2022, pp. 237–239.
9.   Arnold L. M., McMeekin D. A., Ivánová I., Armstrong K. (2021) Knowledge on-demand: a function of the future spatial knowledge infrastructure. Journal of Spatial Science, no. 66 (3), pp. 365–382. DOI: 10.1080/14498596.2019.1654942.
10.   Cooper A. (1999) The Inmates are Running the Asylum. In: Software-Ergonomie ’99. Berichte des German Chapter of the ACM, vol. 53. Vieweg+Teubner Verlag, Wiesbaden. DOI: 10.1007/978-3-322-99786-9_1.
11.   Duckham M., Arnold L., Armstrong K., McMeekin D., Mottolini D. (2017) Towards a Spatial Knowledge Infrastructure. White Paper March, 24 p. URL: www.crcsi.com.au/assets/Program-3/CRCSI-Towards-Spatial-Knowledge-Whitepaper-web-May2017.pdf (accessed: 16.03.2021).
12.   Huang W., Harrie L. (2020) Towards knowledge-based geovisualisation using Semantic Web technologies: a knowledge representation approach coupling ontologies and rules. International Journal of Digital Earth, no. 13 (9), pp. 976–997. DOI: 10.1080/17538947.2019.1604835.
13.   Ivanova I., Armstrong K., McMeekin D. (2017) Provenance in the next-generation spatial knowledge infrastructure, 22nd International Congress on Modelling and simulation (MODSIM 2017). pp. 410–416.
14.   Shannon C. E., Weaver W. (1998) The Mathematical Theory of Communication. University of Illinois Press, Urbana, 144 p.
15.   Wang S., Zhang X., Ye P., Du M., Lu Y., Xue H. (2019) Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation. ISPRS International Journal of Geo-Information, no. 8 (4): 184, DOI: 10.3390/ijgi8040184.
16.   Wangen E. N. What Is a Software Platform and How Is It Different From a Product?. URL: clck.ru/3DZq7d (accessed: 30.01.2024).
17.   Zhu A-X., Zhao F.-H., Liang P., Qin Ch.-Z. (2021) Next generation of GIS: must be easy. no. 27(1), pp. 71–86. DOI: 10.1080/19475683.2020.1766563.
Citation:
Yankelevich S.S., 
Kukharenko E.L., 
(2024) Substantiating the contents, structure and software implementation of the territorial formations geospatial knowledge base. Geodesy and cartography = Geodezia i Kartografia, 85(9), pp. 33-45. (In Russian). DOI: 10.22389/0016-7126-2024-1011-9-33-45
Publication History
Received: 01.02.2024
Accepted: 13.09.2024
Published: 20.10.2024

Content

2024 September DOI:
10.22389/0016-7126-2024-1011-9