Business intelligence and geographic information system for hydrogeology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004807" target="_blank" >RIV/46747885:24220/17:00004807 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.isess2017.org" target="_blank" >http://www.isess2017.org</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-89935-0_14" target="_blank" >10.1007/978-3-319-89935-0_14</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Business intelligence and geographic information system for hydrogeology

Popis výsledku v původním jazyce

We have developed the Hydrogeological Information System (HgIS). Its purpose is to load data from available data sources of any kind, to visualize and analyze data and to implement simple models. HgIS is mostly built upon the Pentaho business intelligence (BI) platform. HgIS uses only some components of BI in comparison to enterprise BI solutions. Adequacy and limitation of data warehousing and BI application for groundwater data is discussed. Data extraction, transformation and loading is focused on integration of wide variety of structured and semi-structured data. Data warehouse uses a hybrid snowflake/star schema. Inmon’s paradigm is used because data semantics is known and the volume of data is limited. HgIS is data agnostic, database agnostic, scalable and interoperable. The architecture of the system corresponds to a spatial business intelligence solution (GeoBI) – a combination of BI and geographic information systems (GIS). Groundwater practitioners have worked with GIS software for decades but BI technologies and tools have not previously been applied to groundwater data.

Název v anglickém jazyce

Business intelligence and geographic information system for hydrogeology

Popis výsledku anglicky

We have developed the Hydrogeological Information System (HgIS). Its purpose is to load data from available data sources of any kind, to visualize and analyze data and to implement simple models. HgIS is mostly built upon the Pentaho business intelligence (BI) platform. HgIS uses only some components of BI in comparison to enterprise BI solutions. Adequacy and limitation of data warehousing and BI application for groundwater data is discussed. Data extraction, transformation and loading is focused on integration of wide variety of structured and semi-structured data. Data warehouse uses a hybrid snowflake/star schema. Inmon’s paradigm is used because data semantics is known and the volume of data is limited. HgIS is data agnostic, database agnostic, scalable and interoperable. The architecture of the system corresponds to a spatial business intelligence solution (GeoBI) – a combination of BI and geographic information systems (GIS). Groundwater practitioners have worked with GIS software for decades but BI technologies and tools have not previously been applied to groundwater data.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TH02030069" target="_blank" >TH02030069: Expertní systém pro monitoring, hodnocení rizik a podporu rozhodování v oblasti využití krajiny</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ENVIRONMENTAL SOFTWARE SYSTEMS: COMPUTER SCIENCE FOR ENVIRONMENTAL PROTECTION - Volume 507, 12th International Symposium on Environmental Software Systems (ISESS 2017) May 10 – 12, 2017

ISBN

978-331989934-3

ISSN

1868-4238

e-ISSN

—

Počet stran výsledku

8

Strana od-do

163-170

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

Zadar, Croatia

Místo konání akce

Zadar, Croatia

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000455046700014