mlsanityData to 14 Oct 2026

Named Entity Resolution in Personal Knowledge Graphs

arXiv 2307.12173 ↗First posted 22 Jul 2023cs.AI cs.DBcited by 1

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Abstract (arXiv)

Entity Resolution (ER) is the problem of determining when two entities refer to the same underlying entity. The problem has been studied for over 50 years, and most recently, has taken on new importance in an era of large, heterogeneous 'knowledge graphs' published on the Web and used widely in domains as wide ranging as social media, e-commerce and search. This chapter will discuss the specific problem of named ER in the context of personal knowledge graphs (PKGs). We begin with a formal definition of the problem, and the components necessary for doing high-quality and efficient ER. We also discuss some challenges that are expected to arise for Web-scale data. Next, we provide a brief literature review, with a special focus on how existing techniques can potentially apply to PKGs. We conclude the chapter by covering some applications, as well as promising directions for future research.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 19 of its 127 references that are in the map. First posted on arXiv 22 Jul 2023.

Builds on

19 of 127 references.

References · 19

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7 more
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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Cost-Efficient Prompt Engineering for Unsupervised Entity Resolutioncited by 4