Overview of the First Content Selection Challenge from Open Semantic Web Data
作者： Nadjet Bouayad-Agha , Gerard Casamayor , Chris Mellish , Leo Wanner
DOI:
关键词: Outcome (game theory) 、 Target text 、 Set (abstract data type) 、 Information retrieval 、 Semantic Web 、 RDF 、 Task (project management) 、 Computer science 、 Selection (linguistics) 、 Content (Freudian dream analysis)
摘要: In this overview paper we present the outcome of first content selection challenge from open semantic web data, focusing mainly on preparatory stages for defining task and annotating data. The to perform was described in challenge’s call as follows: given a set RDF triples containing facts about celebrity, select those that are reflected target text (i.e., short biography celebrity). From initial nine expressions interest, finally two participants submitted their systems evaluation.
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