(Semi-) Automatic Construction of Knowledge Graph Metadata

M. Mohammadi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough attention to generate high-quality metadata to enable users to reuse the KGs for their own purposes. The main challenge is to generate standardized and high quality descriptive metadata which helps users understand the content of the large KGs. Some existing solutions make use of a combination of schema-level patterns derived from graph summarization with instance-level snippets. I will follow this trend and develop a method based on a combination of content-based patterns with user activity data such as SPARQL query logs to make generated metadata more informative and useful than other developed approaches. The problem of current models is generating complex, long or insufficient metadata which I plan to tackle by proposing a guideline to generate standard metadata during my Ph.D.
Original languageEnglish
Title of host publicationSEMANTIC WEB: ESWC 2022 SATELLITE EVENTS
EditorsP. Groth, A. Rula, J. Schneider, I. Tiddi, E. Simperl, P. Alexopoulos
PublisherSpringer International Publishing AG
Pages171-178
Number of pages8
Volume13384
ISBN (Print)9783031116087
DOIs
Publication statusPublished - 2022
Event19th International European Semantic Web Conference (ESWC) - Hersonissos, Greece
Duration: 29 May 20222 Jun 2022
https://2022.eswc-conferences.org/

Publication series

SeriesLecture Notes in Computer Science
Volume13384
ISSN0302-9743

Conference

Conference19th International European Semantic Web Conference (ESWC)
Country/TerritoryGreece
CityHersonissos
Period29/05/222/06/22
Internet address

Keywords

  • Metadata
  • Knowledge graph
  • FAIR
  • Graph summarization
  • SPARQL query logs

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