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Conference Papers Year : 2012

Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data

Abstract

We present a practical use case of knowl- edge base (KB) population at the French news agency AFP. The target KB instances are en- tities relevant for news production and con- tent enrichment. In order to acquire uniquely identified entities over news wires, i.e. tex- tual data, and integrate the resulting KB in the Linked Data framework, a series of data mod- els need to be aligned: Web data resources are harvested for creating a wide coverage entity database, which is in turn used to link entities to their mentions in French news wires. Fi- nally, the extracted entities are selected for in- stantiation in the target KB. We describe our methodology along with the resources created and used for the target KB population.
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Dates and versions

hal-00699297 , version 1 (20-05-2012)

Identifiers

  • HAL Id : hal-00699297 , version 1

Cite

Rosa Stern, Benoît Sagot. Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data. AKBC-WEKEX 2012 - The Knowledge Extraction Workshop at NAACL-HLT 2012, Jun 2012, Montréal, Canada. ⟨hal-00699297⟩
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