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Understanding the types of information humans associate with geographic objects

Published: 24 October 2011 Publication History
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    In this paper we investigate what sorts of information humans request about geographical objects of the same type. For example, Edinburgh Castle and the Bodiam Castle are two objects of the same type - castle. The question is whether specific information is requested for the object type castle and how this information differs for objects of other types, e.g. church, museum or lake. We aim to answer this question using an online survey. In the survey we showed 184 participants 200 images pertaining to urban and rural objects and asked them to write questions for which they would like to know the answers when seeing those objects. Our analysis of 7644 questions collected in the survey shows that humans have shared ideas of what to ask about geographical objects. When the object types resemble each other (e.g. church, temple) the requested information is similar for the objects of these types. Otherwise, the information is specific to an object type. Our results can guide tasks involving automatic generation of templates for image descriptions, and their assessment as well as image indexing and organization.

    References

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    K. McKeown and D. Radev. Generating summaries of multiple news articles. Proc. of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, pages 74--82. 1995.
    [2]
    D. Radev and K. McKeown. Generating natural language summaries from multiple on-line sources. Computational Linguistics, 24(3):470--500, 1998.

    Cited By

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    • (2015)Generating descriptive multi-document summaries of geo-located entities using entity type modelsJournal of the Association for Information Science and Technology10.1002/asi.2321166:4(721-738)Online publication date: 1-Apr-2015
    • (2012)Investigating summarization techniques for geo-tagged image indexingProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_44(472-475)Online publication date: 1-Apr-2012

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    1. Understanding the types of information humans associate with geographic objects

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      cover image ACM Conferences
      CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
      October 2011
      2712 pages
      ISBN:9781450307178
      DOI:10.1145/2063576
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 24 October 2011

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      Author Tags

      1. geographical objects
      2. mechanical turk
      3. understanding object type specific attributes

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      • (2015)Generating descriptive multi-document summaries of geo-located entities using entity type modelsJournal of the Association for Information Science and Technology10.1002/asi.2321166:4(721-738)Online publication date: 1-Apr-2015
      • (2012)Investigating summarization techniques for geo-tagged image indexingProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_44(472-475)Online publication date: 1-Apr-2012

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