Data Integration for the Gulf of Mexico Satellite Observations

Longzhuang Li; Yonghuai Liu; Srujan Kothapally; Chuihui Jin; Anil Nalluri

doi:10.1109/ICIW.2009.27

Data Integration for the Gulf of Mexico Satellite Observations

Longzhuang Li, Yonghuai Liu, Srujan Kothapally, Chuihui Jin, Anil Nalluri

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

1 Citation (Scopus)

Abstract

A number of satellite image sources on meteorology and environment are available over the Gulf of Mexico (GOM). Those satellite images are taken periodically in order to observe the weather changes. However, users usually face several problems when they want to search, retrieve, and combine images from multiple data sources. Without an adequate system and personnel for managing data, the magnitude of the effort needed to deal with such large and complex data sets can be a substantial barrier to the GOM research community. As a result, a mediator-based data integration system is proposed and developed to retrieve and integrate the images of satellite observational systems over the GOM.

Original language	English
Title of host publication	Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09
Publisher	IEEE Press
Pages	137 - 142
ISBN (Electronic)	978-0-7695-3613-2
ISBN (Print)	978-1-4244-3851-8
DOIs	https://doi.org/10.1109/ICIW.2009.27
Publication status	Published - 2009
Event	Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09 - Venice, Italy Duration: 24 May 2009 → 28 May 2009

Conference

Conference	Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09
Country/Territory	Italy
City	Venice
Period	24 May 2009 → 28 May 2009

Access to Document

10.1109/ICIW.2009.27

Permanent link

Persistent link

Cite this

@inproceedings{0465bad1f1b44c6c9a0367b4e83a0df7,

title = "Data Integration for the Gulf of Mexico Satellite Observations",

abstract = "A number of satellite image sources on meteorology and environment are available over the Gulf of Mexico (GOM). Those satellite images are taken periodically in order to observe the weather changes. However, users usually face several problems when they want to search, retrieve, and combine images from multiple data sources. Without an adequate system and personnel for managing data, the magnitude of the effort needed to deal with such large and complex data sets can be a substantial barrier to the GOM research community. As a result, a mediator-based data integration system is proposed and developed to retrieve and integrate the images of satellite observational systems over the GOM.",

author = "Longzhuang Li and Yonghuai Liu and Srujan Kothapally and Chuihui Jin and Anil Nalluri",

year = "2009",

doi = "10.1109/ICIW.2009.27",

language = "English",

isbn = "978-1-4244-3851-8",

pages = "137 -- 142",

booktitle = "Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09",

publisher = "IEEE Press",

address = "United States of America",

note = "Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09 ; Conference date: 24-05-2009 Through 28-05-2009",

}

Li, L, Liu, Y, Kothapally, S, Jin, C & Nalluri, A 2009, Data Integration for the Gulf of Mexico Satellite Observations. in Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09. IEEE Press, pp. 137 - 142, Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09, Venice, Italy, 24 May 2009. https://doi.org/10.1109/ICIW.2009.27

TY - GEN

T1 - Data Integration for the Gulf of Mexico Satellite Observations

AU - Li, Longzhuang

AU - Liu, Yonghuai

AU - Kothapally, Srujan

AU - Jin, Chuihui

AU - Nalluri, Anil

PY - 2009

Y1 - 2009

N2 - A number of satellite image sources on meteorology and environment are available over the Gulf of Mexico (GOM). Those satellite images are taken periodically in order to observe the weather changes. However, users usually face several problems when they want to search, retrieve, and combine images from multiple data sources. Without an adequate system and personnel for managing data, the magnitude of the effort needed to deal with such large and complex data sets can be a substantial barrier to the GOM research community. As a result, a mediator-based data integration system is proposed and developed to retrieve and integrate the images of satellite observational systems over the GOM.

AB - A number of satellite image sources on meteorology and environment are available over the Gulf of Mexico (GOM). Those satellite images are taken periodically in order to observe the weather changes. However, users usually face several problems when they want to search, retrieve, and combine images from multiple data sources. Without an adequate system and personnel for managing data, the magnitude of the effort needed to deal with such large and complex data sets can be a substantial barrier to the GOM research community. As a result, a mediator-based data integration system is proposed and developed to retrieve and integrate the images of satellite observational systems over the GOM.

UR - http://hdl.handle.net/2160/9512

U2 - 10.1109/ICIW.2009.27

DO - 10.1109/ICIW.2009.27

M3 - Conference Proceeding (Non-Journal item)

SN - 978-1-4244-3851-8

SP - 137

EP - 142

BT - Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09

PB - IEEE Press

T2 - Fourth International Conference on Internet and Web Applications and Services, 2009. ICIW '09

Y2 - 24 May 2009 through 28 May 2009

ER -

Data Integration for the Gulf of Mexico Satellite Observations

Abstract

Conference

Access to Document

Permanent link

Other files and links

Fingerprint

Cite this