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Populating Knowledge Bases

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  • First Online: 03 October 2018
  • pp 189–222
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Entity-Oriented Search
Populating Knowledge Bases
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  • Krisztian Balog4 

Part of the book series: The Information Retrieval Series ((INRE,volume 39))

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Abstract

Knowledge base population refers to the task of discovering new facts about entities from a large text corpus, and augmenting a knowledge base with these facts. We start this chapter by giving a brief overview of the broader problem area of extracting structured information from unstructured data. Then, we present a two-step approach that facilitates knowledge base population. In step one, an incoming document stream is filtered to identify documents that potentially contain new facts about a given entity. In step two, the filtered documents are processed for extracting new facts.

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    Krisztian Balog

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Balog, K. (2018). Populating Knowledge Bases. In: Entity-Oriented Search. The Information Retrieval Series, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-93935-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-93935-3_6

  • Published: 03 October 2018

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