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Social Knowledge Collection

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Handbook of Human Computation

Abstract

Social content collection sites allow regular netizens to create communities of interest and share information at unprecedented scale. As a point of reference, MediaWiki (the wiki that powers Wikipedia) has millions of installations that allow non-programmers to contribute content. Because the content has very little structure, the information cannot be easily aggregated to answer simple questions. In recent years, several approaches have emerged for social knowledge collection, allowing a community of contributors to structure content so that information can be aggregated to answer reasonably interesting albeit simple factual queries. This chapter gives an overview of existing social knowledge collection research, ranging from intelligent interfaces for collection of semi-structured repositories of common knowledge, semantic wikis for organizing community resources, and collaborative ontology editors to create consensus taxonomies with classes and properties. The chapter ends with a reflection on open research problems in this area.

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Acknowledgments

We gratefully acknowledge support from the National Science Foundation with grant IIS-1117281. We also thank Kshanti Greene and Pietro Michelucci for their comments on earlier drafts of this chapter.

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Authors and Affiliations

  1. University of Southern California Information Sciences Institute, Marina del Rey, USA

    Yolanda Gil

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  1. Yolanda Gil
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Correspondence to Yolanda Gil .

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  1. ThinkSplash, LLC, Fairfax, Virginia, USA

    Pietro Michelucci

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Gil, Y. (2013). Social Knowledge Collection. In: Michelucci, P. (eds) Handbook of Human Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8806-4_24

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  • DOI: https://doi.org/10.1007/978-1-4614-8806-4_24

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  • Online ISBN: 978-1-4614-8806-4

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