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Linked data in crowdsourcing purposive social network

Published: 13 May 2013 Publication History
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  • Abstract

    Internet is an easy medium for people to collaborate and crowdsourcing is an efficient feature of social web where people with common interest and expertise come together to solve specific problems by collective thinking and create a community. It can also be used to filter out important information from large data, remove spams, and gamification techniques are used to reward the users for their contribution and keep a sustainable environment for the growth of the community. Semantic web technologies can be used to structure the community data so it can be combined, decentralized and be used across platform. Using such tools knowledge can be enhanced and easily discovered and merged together. This paper discusses the concept of a purposive social network where people with similar interest and varied expertise come together, use crowdsourcing technique to solve a common problem and build tools for common purpose. The StackOverflow website is chosen to study the purposive network, different network ties and roles of user is studied. Linked Data is used for name disambiguation of keywords and topics for easier search and discovery of experts in a field and provide useful information that is otherwise unavailable in the website.

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    Cited By

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    • (2015)Investigations into the Goodness of Posts in Q&A Forums—Popularity Versus QualityInformation Systems Design and Intelligent Applications10.1007/978-81-322-2247-7_65(639-647)Online publication date: 21-Jan-2015
    • (2015)Predicting Post Importance in Question Answer Forums Based on Topic-Wise User ExpertiseProceedings of the 11th International Conference on Distributed Computing and Internet Technology - Volume 895610.1007/978-3-319-14977-6_40(365-376)Online publication date: 5-Feb-2015
    • (2014)Project Knowledge Management While Simply Playing! Gaming Mechanics in Project Knowledge Management SystemsGamification in Education and Business10.1007/978-3-319-10208-5_30(593-614)Online publication date: 17-Oct-2014

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    1. Linked data in crowdsourcing purposive social network

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      cover image ACM Other conferences
      WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
      May 2013
      1636 pages
      ISBN:9781450320382
      DOI:10.1145/2487788

      Sponsors

      • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
      • CGIBR: Comite Gestor da Internet no Brazil

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 May 2013

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      Author Tags

      1. crowdsourcing
      2. linked data
      3. name entity disambiguation
      4. q&a
      5. social machine
      6. social media

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      WWW '13
      Sponsor:
      • NICBR
      • CGIBR
      WWW '13: 22nd International World Wide Web Conference
      May 13 - 17, 2013
      Rio de Janeiro, Brazil

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      WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      View all
      • (2015)Investigations into the Goodness of Posts in Q&A Forums—Popularity Versus QualityInformation Systems Design and Intelligent Applications10.1007/978-81-322-2247-7_65(639-647)Online publication date: 21-Jan-2015
      • (2015)Predicting Post Importance in Question Answer Forums Based on Topic-Wise User ExpertiseProceedings of the 11th International Conference on Distributed Computing and Internet Technology - Volume 895610.1007/978-3-319-14977-6_40(365-376)Online publication date: 5-Feb-2015
      • (2014)Project Knowledge Management While Simply Playing! Gaming Mechanics in Project Knowledge Management SystemsGamification in Education and Business10.1007/978-3-319-10208-5_30(593-614)Online publication date: 17-Oct-2014

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