TY - GEN
T1 - A Chinese Geographic Knowledge Base for GIR
AU - Li, Jian
AU - Liu, Rui
AU - Xiong, Rui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/8
Y1 - 2017/8/8
N2 - In recent years, the rapid development of geographic information system technology and the popularity of geo-location-based mobile information services have made people pay more attention to geography-related information. Thus, the information retrieval and related services based on geographic has a broad application prospects. However, the traditional search engine for the processing of geographic information seems powerless. Geographic Information Retrieval (GIR) is a kind of retrieval technique which is concerned with geographic information. A geographic knowledge base (GKB) has a key role in GIR, it can provides support for query disambiguation, query term expansion, relevance ranking, document annotation, and reasoning about geographical concepts. In this paper, we construct a GIR-oriented geographic knowledge base based on Chinese Wikipedia named NCGKB. First, we give the overall structure and design the geographic ontology. On the basis of the ontology and taking advantage of characteristics of Wikipedia pages, three extractors were developed to extract geographic entities, entity attributes and entity relations. For the geographic relation extraction, a geographic relation extraction method based on pattern matching was proposed which can effectively extract relations from content of Chinese Wikipedia. Finally, experimental results verify the effectiveness of the relationship extraction.
AB - In recent years, the rapid development of geographic information system technology and the popularity of geo-location-based mobile information services have made people pay more attention to geography-related information. Thus, the information retrieval and related services based on geographic has a broad application prospects. However, the traditional search engine for the processing of geographic information seems powerless. Geographic Information Retrieval (GIR) is a kind of retrieval technique which is concerned with geographic information. A geographic knowledge base (GKB) has a key role in GIR, it can provides support for query disambiguation, query term expansion, relevance ranking, document annotation, and reasoning about geographical concepts. In this paper, we construct a GIR-oriented geographic knowledge base based on Chinese Wikipedia named NCGKB. First, we give the overall structure and design the geographic ontology. On the basis of the ontology and taking advantage of characteristics of Wikipedia pages, three extractors were developed to extract geographic entities, entity attributes and entity relations. For the geographic relation extraction, a geographic relation extraction method based on pattern matching was proposed which can effectively extract relations from content of Chinese Wikipedia. Finally, experimental results verify the effectiveness of the relationship extraction.
UR - https://www.scopus.com/pages/publications/85034625717
U2 - 10.1109/CSE-EUC.2017.72
DO - 10.1109/CSE-EUC.2017.72
M3 - 会议稿件
AN - SCOPUS:85034625717
T3 - Proceedings - 2017 IEEE International Conference on Computational Science and Engineering and IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017
SP - 361
EP - 368
BT - Proceedings - 2017 IEEE International Conference on Computational Science and Engineering and IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Computational Science and Engineering and 15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017
Y2 - 21 July 2017 through 24 July 2017
ER -