Research on Multi-level Gazetteer Services Based on Object Relational Database

DOI

10.2991/eia-17.2017.78How to use a DOI?

Keywords

gazetteer services; index optimization, word frequency dictionary, grade and classification

Abstract

Gazetteer service is one of the basic functions ofÿWeb map services, and the search efficiency and accuracy is very important to the user experience. Traditional approach is based on full-text indexing technology. The ranking of search results is mainly based onÿthe relevance of the search keywords. However, in practical applications, the search results are often classified and sorted. In this paper, we propose a new method which uses gin index of PostgreSQL to achieve the rapid retrieval of phrases containing geo-location information. Search accuracy is optimized by modification of a word dictionary and graded and classified information. A prototype system is designed and implemented. Experiments on real dataset showed that the proposed method can provide users with a better retrieval experience under the environment of big data.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jieyu DONG
AU  - Luo CHEN
AU  - Mengyu MA
AU  - Ning JING
PY  - 2017/07
DA  - 2017/07
TI  - Research on Multi-level Gazetteer Services Based on Object Relational Database
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 362
EP  - 366
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.78
DO  - 10.2991/eia-17.2017.78
ID  - DONG2017/07
ER  -