Knowledge Base Population Task

A Knowledge Base Population Task is a database population task that populates a knowledge base.

• Context:
  • It can be solved by a KBP System (that implements a KBP algorithm).
  • It can range from being a Manual KB Population Task to being an Automated KB Population Task.
  • It can range from being a Heuristic KBP Task to being a Data-Driven KBP Task (such as supervised KBP task).
  • It can be a part of a KB Construction Task.
• Example(s):
  • a TAC KBP Task, such as a TAC-2014 Entity Linking Task.
  • …
• Counter-Example(s):
  • a Knowledge Base Design System.
• See: Knowledge Harvesting, KB Management System.

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References

2016

• (Weikum et al., 2016) ⇒ Gerhard Weikum, Johannes Hoffart, and Fabian M. Suchanek. (2016). “Ten Years of Knowledge Harvesting: Lessons and Challenges.” In: IEEE Data Engineering Bulletin, 39(3).
  • QUOTE: This article is a retrospective on the theme of knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources. We draw on our experience in the Yago-Naga project over the last decade, but consider other projects as well. The article discusses lessons learned on architecture of a knowledge harvesting system, and points out open challenges and research opportunities.

2012

• (Clark et al., 2012) ⇒ Peter Clark, Phil Harrison, Niranjan Balasubramanian, and Oren Etzioni. (2012). “Constructing a Textual KB from a Biology TextBook.” In: Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction.

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