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Spatiotemporal Data Cleaning and Knowledge Fusion

  • Huchen Zhou
  • , Mohan Li*
  • , Zhaoquan Gu
  • , Zhihong Tian
  • *Corresponding author for this work
  • Guangzhou University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Knowledge fusion aims to establish the relation-ship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the underlying key technologies supporting knowledge fusion. In this chapter, we give a brief overview of some important technologies of knowledge fusion and data cleaning. We first briefly introduce the motivation and background of knowledge fusion and data cleaning. Then, we discuss some of the recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Science and Business Media Deutschland GmbH
Pages32-50
Number of pages19
DOIs
StatePublished - 2021
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12647 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Data cleaning
  • Knowledge fusion
  • MDATA
  • Spatiotemporal data

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