An Ontology-Based Fuzzy Matching Approach to Semantic Retrieval of Historical Place Names

  • Chao Wang
  • Ling Zhuang
  • Jiangqin Wu
  • Feng Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7634)


In China Academic Digital Associative Library, there are massive resources recording the history of China. For convenient accessing, services are provided with the feature of information retrieval by geographical dimension, e.g., given a place name under some dynasty, all the information related to that place throughout Chinese history is retrieved. However, the name, boundaries, and administrative level of a place may have changed several times across history. So when the service is asked for information related to some place, all the place names ever used for or related to that place should be identified first. In this paper, we build an ontology model on the geographic information extracted from historical maps, and propose a fuzzy matching algorithm to properly identify places across dynasties. We also present a detailed case study, as well as the experimental results measured by pre-defined metrics, which illustrates the effectiveness of the proposed approach.


Ontology Geographic Information Retrieval Place Name Fuzzy Matching Digital Library 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chao Wang
    • 1
  • Ling Zhuang
    • 1
  • Jiangqin Wu
    • 1
  • Feng Zhou
    • 1
  1. 1.College of Computer ScienceZhejiang UniversityHangzhouChina

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