A system for the automatic comparison of machine and human geocoded documents

ABSTRACT

This paper describes an initial experiment in testing a geocoding system by comparing geocoded documents to locations assigned by human indexers as part of the MeSH indexing process of the PUBMED abstracting system. Preliminary results indicate that this is a useful check on the geocoding system and provides useful feed-back to developers of geocoding systems.

REFERENCES

• 1: Einat Amitay , Nadav Har'El , Ron Sivan , Aya Soffer, Web-a-where: geotagging web content, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom [doi>10.1145/1008992.1009040]
• 2: J. L. Leidner. An evaluation dataset for the toponym resolution task. Computers, Environment and Urban Systems, 30(4):400--417, July 2006.
• 3: David A. Smith , Gregory Crane, Disambiguating Geographic Names in a Historical Digital Library, Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries, p.127-136, September 04-09, 2001
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• 5: Wenbo Zong , Dan Wu , Aixin Sun , Ee-Peng Lim , Dion Hoe-Lian Goh, On assigning place names to geography related web pages, Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, June 07-11, 2005, Denver, CO, USA [doi>10.1145/1065385.1065464]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Linguistic processing

General Terms:
Experimentation, Reliability, Verification

Keywords:
geocoding, mesh