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Linked data in crowdsourcing purposive social network

Published: 13 May 2013 Publication History

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

View all
  • (2024)Semantic Web Approaches in Stack OverflowInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.35861720:1(1-61)Online publication date: 9-Nov-2024
  • (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
  • Show More Cited By

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  1. Linked data in crowdsourcing purposive social network

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    Published In

    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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    • Research-article

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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

    Acceptance Rates

    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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    Cited By

    View all
    • (2024)Semantic Web Approaches in Stack OverflowInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.35861720:1(1-61)Online publication date: 9-Nov-2024
    • (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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