A Polyvocal and Contextualised Semantic Web

M. van Erp, V. de Boer

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

Current AI technologies and data representations often reflect the popular or majority vote. This is an inherent artefact of the frequency bias of many statistical analysis methods that are used to create for example knowledge graphs, resulting in simplified representations of the world in which diverse perspectives are underrepresented. With the use of AI-infused tools ever increasing, as well as the diverse audiences using these tools, this bias needs to be addressed in both the algorithms analysing data, as well as in the resulting representations. In this problems to solve before you die submission, we explain the implications of the lack of polyvocality and contextual knowledge in the semantic web. We identify three challenges for the Semantic Web community on dealing with various voices and perspectives as well as our vision for addressing it.
Original languageEnglish
Title of host publicationThe Semantic Web
Subtitle of host publication18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings
EditorsRuben Verborgh, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova, Oscar Corcho, Petar Ristoski, Mehwish Alam
PublisherSpringer Science and Business Media Deutschland GmbH
Pages506-512
Number of pages7
ISBN (Electronic)9783030773854
ISBN (Print)9783030773847
DOIs
Publication statusPublished - 2021
Event18th European Semantic Web Conference, ESWC 2021 - Virtual, Online
Duration: 6 Jun 202110 Jun 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12731 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th European Semantic Web Conference, ESWC 2021
CityVirtual, Online
Period6/06/2110/06/21

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