Google Research

Open and Closed Schema for Aligning Knowledge and Text Collections.

Workshop on Exploiting Semantic Annotations for Information Retrieval (ESAIR) (2016)

Abstract

When it comes to knowledge bases most people's first thought are structured sources such as the Freebase/Wikidata and their relationship to similarly structured web sources such as Wikipedia. A lot of additional and interesting "knowledge" though is captured in unstructured databases constructed in a less supervised manner using open information extraction techniques. In this talk we'll discuss some of the differences between open/closed schema knowledge bases including the ideas of objective vs subjective content as well as freshness and trust. We'll give an overview on approaches to aligning such data sources in a way that their relative strengths can be combined and finish with applications of such alignments; particularly around open question and answer systems.

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