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Multiple surveys have emerged to provide a multidisciplinary view of bias or to review bias in specific areas such as social sciences, business research, criminal justice, or data mining. Given the ability of Semantic Web (SW) technologies to support multiple AI systems, we review the extent to which semantics can be a \u201ctool\u201d to address bias in different algorithmic scenarios. We provide an in-depth categorisation and analysis of bias assessment, representation, and mitigation approaches that use SW technologies. We discuss their potential in dealing with issues such as representing disparities of specific demographics or reducing data drifts, sparsity, and missing values. We find research works on AI bias that apply semantics mainly in information retrieval, recommendation and natural language processing applications and argue through multiple use cases that semantics can help deal with technical, sociological, and psychological challenges.<\/jats:p>","DOI":"10.3233\/sw-223041","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T11:57:30Z","timestamp":1662465450000},"page":"745-770","source":"Crossref","is-referenced-by-count":19,"title":["Semantic Web technologies and bias in artificial intelligence: A systematic literature\u00a0review"],"prefix":"10.1177","volume":"14","author":[{"given":"Paula","family":"Reyero Lobo","sequence":"first","affiliation":[{"name":"Knowledge Media Institute, The Open University, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enrico","family":"Daga","sequence":"additional","affiliation":[{"name":"Knowledge Media Institute, The Open University, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harith","family":"Alani","sequence":"additional","affiliation":[{"name":"Knowledge Media Institute, The Open University, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miriam","family":"Fernandez","sequence":"additional","affiliation":[{"name":"Knowledge Media Institute, The Open University, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"key":"10.3233\/SW-223041_ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269266"},{"key":"10.3233\/SW-223041_ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474243"},{"key":"10.3233\/SW-223041_ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1118"},{"key":"10.3233\/SW-223041_ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"10.3233\/SW-223041_ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2012.49"},{"key":"10.3233\/SW-223041_ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313504"},{"issue":"6","key":"10.3233\/SW-223041_ref7","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1145\/3209581","article-title":"Bias on the web","volume":"61","author":"Baeza-Yates","year":"2018","journal-title":"Communications of the ACM"},{"issue":"37","key":"10.3233\/SW-223041_ref8","doi-asserted-by":"publisher","first-page":"9216","DOI":"10.1073\/pnas.1804840115","article-title":"Exposure to opposing views on social media can increase political polarization","volume":"115","author":"Bail","year":"2018","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"10.3233\/SW-223041_ref9","first-page":"671","article-title":"Big data\u2019s disparate impact","volume":"104","author":"Barocas","year":"2016","journal-title":"Calif. 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