Chuang, Tyng Ruey

Deng, Dong Po

Lemmens, Rob

Mai, Guan Shuo

Shao, Kwang Tsao

English

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.</p

University of Twente Research Information

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

https://ris.utwente.nl/ws/files/294965292/ldow2014_paper_12.pdf

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

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University of Twente Research Information