AI

Open and Closed Schema for Aligning Knowledge and Text Collections.

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.