Mapping based on open data sources in digital form

Autor: Stojanović Marko R.

Publikováno v: Tehnika, Vol 79, Iss 2, Pp 159-166 (2024)

Mapping based on open data sources in digital form represents a revolution in geoinformatics science and practice. Traditionally, the mapping approach required significant material resources and expertise to create accurate and up-to-date maps. With

Externí odkaz: https://doaj.org/article/ed9179c665734500ad1ed31b2744e651

A study of knowledge management systems processes and technology in open and distance education institutions in higher education

Autor: Altınay, Fahriye, Altınay, Mehmet, Dagli, Gokmen, Altınay, Zehra

Publikováno v: The International Journal of Information and Learning Technology, 2019, Vol. 36, Issue 4, pp. 314-321.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJILT-02-2019-0020

Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore

Autor: Marco Rospocher, Roldano Cattoni, Francesco Corcoglioniti, Luciano Serafini, Bernardo Magnini

This chapter describes the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded open-source storage system to jointly store, manage, retrieve, and query interlinked structured and unstructured data, especially designed to manage all

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c77207ee7dbcd3600f08e3e02309accf
https://hdl.handle.net/11562/990120

Predicting Urban Waterlogging Risks by Regression Models and Internet Open-Data Sources

Autor: Abdulfattah.A.Q. Alwah, Vanha Dang, Dawei Xu, Ducthien Tran

Publikováno v: Water
Volume 12
Issue 3
Water, Vol 12, Iss 3, p 879 (2020)

In the context of climate change and rapid urbanization, urban waterlogging risks due to rainstorms are becoming more frequent and serious in developing countries. One of the most important means of solving this problem lies in elucidating the roles

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac862e3cd244136c58524b89a7372fc8
https://doi.org/10.3390/w12030879

Використання стохастичного автомату для консолідації даних

Autor: Koval, Olexandr V., Kuzminykh, Valeriy O., Khaustov, Dmitriy V.

Publikováno v: Наукові вісті КПІ; № 2 (2017): ; 29-36
Научные вести КПИ; № 2 (2017): ; 29-36
Research Bulletin of the National Technical University of Ukraine "Kyiv Politechnic Institute"; № 2 (2017): Engineering; 29-36

Background. Development of methods and algorithms for efficient search of relevant information on demand. The article deals with the consolidation of data for subsequent use in the information and analytical systems.Objective. The aim of the paper is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::2de2fd8a5f14ec50dc4f657d7c2d9c2c
http://bulletin.kpi.ua/article/view/100011