Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology

Xu Qiang; Fan Hong; Dang XiaoHu

doi:doi:10.11648/j.sd.20170505.16

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Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology

Xu Qiang, Fan Hong, Dang XiaoHu

Published in Science Discovery (Volume 5, Issue 5)

Received: 7 August 2017 Published: 7 August 2017

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Abstract

It is difficult to make fine-grained random call in GIS system development or data processing owing to the multi-source heterogeneity of spatial data. Moreover, to convert the data into a unified format easily can lead to the loss of the core attributes. In this paper, we discuss the translation methods among several different data formats, including attribute and business data , network data, CAD data, heterogeneous GIS spatial data, and domestic and foreign GIS data, etc, based on software technology like FME, MyFME, Arcgis, MessagePack package, crawling tools and so on. Then, we propose a universal processing framework for multi-source heterogeneous data integration in the GIS field, and verify the performance of the proposed framework through integrating several kinds of data.

Published in	Science Discovery (Volume 5, Issue 5)
DOI	10.11648/j.sd.20170505.16
Page(s)	331-339
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Framework, Business Data, Multi-source, Universality

References

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APA Style

Xu Qiang, Fan Hong, Dang XiaoHu. (2017). Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology. Science Discovery, 5(5), 331-339. https://doi.org/10.11648/j.sd.20170505.16

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ACS Style

Xu Qiang; Fan Hong; Dang XiaoHu. Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology. Sci. Discov. 2017, 5(5), 331-339. doi: 10.11648/j.sd.20170505.16

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AMA Style

Xu Qiang, Fan Hong, Dang XiaoHu. Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology. Sci Discov. 2017;5(5):331-339. doi: 10.11648/j.sd.20170505.16

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@article{10.11648/j.sd.20170505.16,
  author = {Xu Qiang and Fan Hong and Dang XiaoHu},
  title = {Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology},
  journal = {Science Discovery},
  volume = {5},
  number = {5},
  pages = {331-339},
  doi = {10.11648/j.sd.20170505.16},
  url = {https://doi.org/10.11648/j.sd.20170505.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170505.16},
  abstract = {It is difficult to make fine-grained random call in GIS system development or data processing owing to the multi-source heterogeneity of spatial data. Moreover, to convert the data into a unified format easily can lead to the loss of the core attributes. In this paper, we discuss the translation methods among several different data formats, including attribute and business data , network data, CAD data, heterogeneous GIS spatial data, and domestic and foreign GIS data, etc, based on software technology like FME, MyFME, Arcgis, MessagePack package, crawling tools and so on. Then, we propose a universal processing framework for multi-source heterogeneous data integration in the GIS field, and verify the performance of the proposed framework through integrating several kinds of data.},
 year = {2017}
}

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TY  - JOUR
T1  - Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology
AU  - Xu Qiang
AU  - Fan Hong
AU  - Dang XiaoHu
Y1  - 2017/08/07
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170505.16
DO  - 10.11648/j.sd.20170505.16
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 331
EP  - 339
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170505.16
AB  - It is difficult to make fine-grained random call in GIS system development or data processing owing to the multi-source heterogeneity of spatial data. Moreover, to convert the data into a unified format easily can lead to the loss of the core attributes. In this paper, we discuss the translation methods among several different data formats, including attribute and business data , network data, CAD data, heterogeneous GIS spatial data, and domestic and foreign GIS data, etc, based on software technology like FME, MyFME, Arcgis, MessagePack package, crawling tools and so on. Then, we propose a universal processing framework for multi-source heterogeneous data integration in the GIS field, and verify the performance of the proposed framework through integrating several kinds of data.
VL  - 5
IS  - 5
ER  -

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Author Information

Xu Qiang

College of Computer Science, Shaanxi Normal University, Xi’an, China
Fan Hong

College of Computer Science, Shaanxi Normal University, Xi’an, China
Dang XiaoHu

College of Computer Science, Shaanxi Normal University, Xi’an, China

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APA Style

Xu Qiang, Fan Hong, Dang XiaoHu. (2017). Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology. Science Discovery, 5(5), 331-339. https://doi.org/10.11648/j.sd.20170505.16

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ACS Style

Xu Qiang; Fan Hong; Dang XiaoHu. Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology. Sci. Discov. 2017, 5(5), 331-339. doi: 10.11648/j.sd.20170505.16

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AMA Style

Xu Qiang, Fan Hong, Dang XiaoHu. Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology. Sci Discov. 2017;5(5):331-339. doi: 10.11648/j.sd.20170505.16

Copy | Download

@article{10.11648/j.sd.20170505.16,
  author = {Xu Qiang and Fan Hong and Dang XiaoHu},
  title = {Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology},
  journal = {Science Discovery},
  volume = {5},
  number = {5},
  pages = {331-339},
  doi = {10.11648/j.sd.20170505.16},
  url = {https://doi.org/10.11648/j.sd.20170505.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170505.16},
  abstract = {It is difficult to make fine-grained random call in GIS system development or data processing owing to the multi-source heterogeneity of spatial data. Moreover, to convert the data into a unified format easily can lead to the loss of the core attributes. In this paper, we discuss the translation methods among several different data formats, including attribute and business data , network data, CAD data, heterogeneous GIS spatial data, and domestic and foreign GIS data, etc, based on software technology like FME, MyFME, Arcgis, MessagePack package, crawling tools and so on. Then, we propose a universal processing framework for multi-source heterogeneous data integration in the GIS field, and verify the performance of the proposed framework through integrating several kinds of data.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology
AU  - Xu Qiang
AU  - Fan Hong
AU  - Dang XiaoHu
Y1  - 2017/08/07
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170505.16
DO  - 10.11648/j.sd.20170505.16
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 331
EP  - 339
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170505.16
AB  - It is difficult to make fine-grained random call in GIS system development or data processing owing to the multi-source heterogeneity of spatial data. Moreover, to convert the data into a unified format easily can lead to the loss of the core attributes. In this paper, we discuss the translation methods among several different data formats, including attribute and business data , network data, CAD data, heterogeneous GIS spatial data, and domestic and foreign GIS data, etc, based on software technology like FME, MyFME, Arcgis, MessagePack package, crawling tools and so on. Then, we propose a universal processing framework for multi-source heterogeneous data integration in the GIS field, and verify the performance of the proposed framework through integrating several kinds of data.
VL  - 5
IS  - 5
ER  -

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