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Linked data in crowdsourcing purposive social network

Linked data in crowdsourcing purposive social network
Linked data in crowdsourcing purposive social network
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.
social media, social machine, crowdsourcing, q&a, name entity disambiguation, linked data
Singh, Priyanka
9114f1a3-01e1-47d1-a62c-76ea537c764e
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Singh, Priyanka
9114f1a3-01e1-47d1-a62c-76ea537c764e
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Singh, Priyanka and Shadbolt, Nigel (2013) Linked data in crowdsourcing purposive social network. WWW2013 Workshop: The Theory and Practice of Social Machines, Brazil. 13 - 17 May 2013. 5 pp .

Record type: Conference or Workshop Item (Paper)

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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More information

Published date: 13 May 2013
Venue - Dates: WWW2013 Workshop: The Theory and Practice of Social Machines, Brazil, 2013-05-13 - 2013-05-17
Related URLs:
Keywords: social media, social machine, crowdsourcing, q&a, name entity disambiguation, linked data
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 352925
URI: http://eprints.soton.ac.uk/id/eprint/352925
PURE UUID: c5bf2090-8fdd-407b-a71f-41b4af616dce

Catalogue record

Date deposited: 25 Jun 2013 13:54
Last modified: 02 Dec 2019 20:50

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Contributors

Author: Priyanka Singh
Author: Nigel Shadbolt

University divisions

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