Augmenting Human Computed Lightweight Semantics
نویسنده
چکیده
Semantic web has to overcome several challenges ranging from web resource annotation to domain modelling. Acquiring general or domain knowledge ontologies is done by automated approaches with only limited sucess or is left to costly human experts. Games with a Purpose offer an opportunity to employ broader crowd of laics into these tasks by transforming tasks to the appealing fun. We build upon our previous research of the Little Search Game, a search query formulation game for acquiring lightweight network of unnamed term relationships. We analyze these relationships for types and argue for suitability of this network to provide non-taxonomic relationships, so much needed in existing knowledge bases.
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