Playing Well With Others: The Social Edition and Computational Collaboration

By Constance Crompton1, Cole Mash2, Ray Siemens3, INKE Research Group3

1. University of Ottawa 2. University of the Okanagan 3. University of Victoria

Manuscript’s RDFa encoding practice as a case study of how to formalize statements about entities on the Web in a way that is machine-parsable. RDFa encoding allows machines to become collaborators with human readers in the discovery of new…

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Manuscript’s RDFa encoding practice as a case study of how to formalize statements about entities on the Web in a way that is machine-parsable. RDFa encoding allows machines to become collaborators with human readers in the discovery of new connections between entities (people, places, and events) even between websites. The edition’s encoding is motivated by the INKE Modelling and Prototyping team’s guiding research question about the implications and impact of real-time applications in relation to traditionally static knowledge objects. The authors argue for the value of bringing texts into communication with other texts, through RDFa, allowing virtual collaboration even when the scholars behind the projects do not know one another.

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Originally published in Scholarly Research and Communication Vol. 6 No. 3, 2015 DOI: https://doi.org/10.22230/src.2015v6n3a111

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