Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Place Name and Address Matching Method Based on Semantic Mining

Authors
Huanhuan Lv, Hui Zhang, Yuhua Wang
Corresponding Author
Huanhuan Lv
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.57How to use a DOI?
Keywords
address matching, semantic mining, geographic ontology, inference rules.
Abstract
A place name and address matching model based on semantic mining is proposed in this paper. Firstly, the semantic features of place name and address description information is analyzed. Then, spatial object cognitive representation model geographic ontology is constructed to formalize the place name and address described by natural language. Finally, the inference rules of spatial relations are defined in order to achieve semantic matching and retrieval of referential address. Experiments show that the proposed method can accurately express and reasoning out the location information of geographical entity, and can serve the place name and address matching tasks with semantic characteristics.
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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.57How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huanhuan Lv
AU  - Hui Zhang
AU  - Yuhua Wang
PY  - 2016/12
DA  - 2016/12
TI  - Place Name and Address Matching Method Based on Semantic Mining
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.57
DO  - https://doi.org/10.2991/iceeecs-16.2016.57
ID  - Lv2016/12
ER  -