Social web meets sensor web: From user-Generated content to linked crowdsourced observation data

Dong Po Deng, Guan Shuo Mai, Tyng Ruey Chuang, Rob Lemmens, Kwang Tsao Shao

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Abstract

The reach of dominating social media like Facebook and Twitter in the current population is enormous, and these media have long been leveraged for diverse applications. In particular, for some citizen science projects, existing social media increasingly become platforms on which participantsinteract and contribute. These user contributions, often termed User-Generated Content (UGC), can be a mix bag of posts, comments, images, and other media. We report in this paper a work-in-progress in formalizing user contributions from a large Facebook group (more than 4,000 users) established for biodiversity observation. A major part of our work is to extract structured datasets with welldefined semantics from unstructured UGC collections. We use common vocabularies from Darwin Core (DwC), Friendof-A-friend (FOAF), Semantically-Interlinked Online Communities (SIOC), Semantic Sensor Network (SSN), among others, to formalize the extracted datasets, hence, make them readily linkable. A nice consequence of this approach is that a multi-faceted browser can be quickly built to explore biodiversity information in large collections of UGC.

Original languageEnglish
Title of host publicationProceedings of the Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014)
Publication statusPublished - 2014
Event7th Workshop on Linked Data on the Web 2014 - Seoul, Korea, Republic of
Duration: 8 Apr 20148 Apr 2014
Conference number: 7
http://events.linkeddata.org/ldow2014/

Publication series

NameCEUR workshop proceedings
PublisherRheinisch Westfälische Technische Hochschule
Volume1184
ISSN (Print)1613-0073

Workshop

Workshop7th Workshop on Linked Data on the Web 2014
Abbreviated titleLDOW 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period8/04/148/04/14
Internet address

Keywords

  • Citizen science
  • Crowdsourcing
  • Facebook
  • Geosparol
  • Linked data
  • Sensor network
  • User-generated content (UGC)

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