A Polyvocal and Contextualised Semantic Web
| Autor: | van Erp, M., de Boer, V., Verborgh, Ruben, Hose, Katja, Paulheim, Heiko, Champin, Pierre-Antoine, Maleshkova, Maria, Corcho, Oscar, Ristoski, Petar, Alam, Mehwish |
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| Přispěvatelé: | Verborgh, Ruben, Hose, Katja, Paulheim, Heiko, Champin, Pierre-Antoine, Maleshkova, Maria, Corcho, Oscar, Ristoski, Petar, Alam, Mehwish, Language, Network Institute, Business Web and Media, Intelligent Information Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Majority rule
Computer science Polyvocality Contextualisation Culturally aware AI 02 engineering and technology Data science Bias Knowledge graph 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Statistical analysis Semantic Web |
| Zdroj: | The Semantic Web ISBN: 9783030773847 ESWC van Erp, M & de Boer, V 2021, A Polyvocal and Contextualised Semantic Web . in R Verborgh, K Hose, H Paulheim, P-A Champin, M Maleshkova, O Corcho, P Ristoski & M Alam (eds), The Semantic Web : 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12731 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 506-512, 18th European Semantic Web Conference, ESWC 2021, Virtual, Online, 6/06/21 . https://doi.org/10.1007/978-3-030-77385-4_30 The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings, 506-512 STARTPAGE=506;ENDPAGE=512;TITLE=The Semantic Web |
| ISSN: | 0302-9743 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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