| Issue |
MATEC Web of Conferences
Volume 56, 2016
2016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 4 | |
| Section | Computer and Information technologies | |
| DOI | https://doi.org/10.1051/matecconf/20165601013 | |
| Published online | 26 April 2016 | |
Research on the Integration Method of Dynamic Heterogeneous Spatial Information Plotting Data
1 College of Information Science and Engineering, Guilin University Of Technology, 541006, Guilin, Guangxi, China
2 Guilin University of Technology, Guangxi Key Laboratory of Spatial Information and Geomatics, 541004, Guilin, China
3 College of Mechanical and Control Engineering, Guilin University Of Technology, 541006, Guilin, Guangxi, China
4 College of Civil Engineering and Architecture, Guilin University Of Technology, 541004, Guilin, Guangxi, China
According to the dynamic heterogeneous spatial information plotting data, this paper presented a new integration method about dynamic heterogeneous spatial data, studied the spatial information plotting object and established the semantic ontology database. It declared the mapping rules in ontology, solved the semantic differences of spatial information plotting objects and finished the automatic or semi-automatic integration of plotting content to integrated automatic or semi-automatic of the content for different plotting situations(same name of different place, different name of same place etc) and different plotting data types(text, images, sound, video etc). So it has great significance to enhance the efficiency of the plotting data integration.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.