A real time data extraction, transformation and loading solution for semi-structured text files

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Space applications' users have been relying for the past decades on custom developed software tools capable of addressing short term necessities during critical Spacecraft control periods. Advances in computing power and storage solutions have made possible the development of innovative decision support systems. These systems are capable of providing high quality integrated data to both near real time and historical data analysis applications. This paper describes the implementation of a new approach for a distributed and loosely coupled data extraction and transformation solution capable of extracting, transforming and perform loading of relevant real-time and historical Space Weather and Spacecraft data from semi-structured text files into an integrated space-domain decision support system. The described solution takes advantage of XML and Web Service technologies and is currently working under operational environment at the European Space Agency as part of the Space Environment Information System for Mission Control Purposes (SEIS) project.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence - 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, Proceedings
EditorsC. Bento, A. Cardoso, G. Dias
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
Pages383-394
Number of pages12
ISBN (Electronic)978-3-540-31646-6
ISBN (Print)978-3-540-30737-2
DOIs
Publication statusPublished - 1 Dec 2005
Event12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence - Covilha, Portugal
Duration: 5 Dec 20058 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Volume3808 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence
CountryPortugal
CityCovilha
Period5/12/058/12/05

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