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Speech acts meet tagging

NiceTag ontology
Authors: Alexandre Monnin; Freddy Limpens; Fabien Gandon; David Laniado;
Abstract

Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an ontology, NiceTag, whose primitives are "tag actions" modeled with RDF named graphs. This mechanism allows us to type, describe and thus ensure the traceability of each single act of tagging. Our named graphs contain at least a resource linked to a "sign", which can be any resource reachable on the Web (an ontology concept, an image, etc.). The resource, the sign and the link between them are the three components of the acts of tagging that we want to explicitly represent as social actions, akin to speech acts. The purpose of our model is threefold. First, to be able to describe acts of tagging in a very precise and general manner, consistent with the principles behind the architecture of the Web. To reconcile and bridge existing tag models (Newman ontology, Tagont, ES, SCOT, SIOC, CommonTag, MOAT, NAO). And finally, to propose a viable way to reify and represent the intention behind an act of tagging and leverage its semantics.

Country
France
Keywords

sensemaking pragmatic, [SHS.PHIL] Humanities and Social Sciences/Philosophy, named graphs., annotation, Tagging, identity crisis, meaning, speech acts, resources, social acts

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
Green