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Journal on Data Semantics

Erschienen in:

01.09.2014 | Original Article

Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications

verfasst von: Alessandro Bozzon, Piero Fraternali, Luca Galli, Roula Karam

Erschienen in: Journal on Data Semantics | Ausgabe 3/2014

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Abstract

User models have been defined since the 1980s, mainly for the purpose of building context-based, user-adaptive applications. However, the advent of social networked media, serious games, and crowdsourcing/human computation platforms calls for a more pervasive notion of user model, capable of representing the multiple facets of social users and performers, including their social ties, interests, capabilities, activity history, and topical affinities. In this paper, we define a comprehensive model able to cater for all the aspects relevant for applications involving social networks and human computation; we capitalize on existing social user models and content description models, enhancing them with novel models for human computation and gaming activities representation. Finally, we report on our experiences in adopting the proposed model in the design and implementation of three socially enabled human computation platforms.

Vorheriger Artikel Context-Based Query Using Dependency Structures Based on Latent Topic Model

Nächster Artikel Preventing, Detecting, and Revising Flaws in Object Property Expressions

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Please notice that content descriptions typically also include information about temporal of physical segments of the described objects. For the sake of brevity we omitted the description of this important content description aspect, although fully supported by our model.

The code and documentation of Crowdsearcher are available for download at http://crowdsearcher.search-computing.com

http://www.imreal-project.eu

http://www.grapple-project.org

http://www.u2m.org

http://www.foaf-project.org

http://www.opensocial.org

http://rdfs.org/sioc/spec

http://social-nexus.net

http://www.wis.ewi.tudelft.nl/tweetum/

http://www.wis.ewi.tudelft.nl/genius/

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Titel: Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications
verfasst von: Alessandro Bozzon
Piero Fraternali
Luca Galli
Roula Karam
Publikationsdatum: 01.09.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal on Data Semantics / Ausgabe 3/2014
Print ISSN: 1861-2032
Elektronische ISSN: 1861-2040
DOI: https://doi.org/10.1007/s13740-013-0032-2

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