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- 01HQAN403FP8QAWJCYDFD7SKWE classification P1.
- 01HQAN403FP8QAWJCYDFD7SKWE date "2023".
- 01HQAN403FP8QAWJCYDFD7SKWE language "eng".
- 01HQAN403FP8QAWJCYDFD7SKWE type conference.
- 01HQAN403FP8QAWJCYDFD7SKWE hasPart 01HQAN4XEDF31ZHW4G48M8T2EE.pdf.
- 01HQAN403FP8QAWJCYDFD7SKWE subject "Technology and Engineering".
- 01HQAN403FP8QAWJCYDFD7SKWE doi "10.1145/3543873.3589756".
- 01HQAN403FP8QAWJCYDFD7SKWE isbn "9781450394161".
- 01HQAN403FP8QAWJCYDFD7SKWE presentedAt urn:uuid:aed84a3f-bd9d-4edb-9d21-75e0d2fd7568.
- 01HQAN403FP8QAWJCYDFD7SKWE abstract "Knowledge Graphs have become a foundation for sharing data on the web and building intelligent services across many sectors and also within some of the most successful corporations in the world. The over centralisation of data on the web, however, has been raised as a concern by a number of prominent researchers in the feld. For example, at the beginning of 2022 a (sic) 2.7B civil lawsuit was launched against Meta on the basis that it has abused its market dominance to impose unfair terms and conditions on UK users in order to exploit their personal data. Data centralisation can lead to a number of problems including: lock-in/siloing efects, lack of user control over their personal data, limited incentives and opportunities for interoperability and openness, and the resulting detrimental efects on privacy and innovation. A number of diverse approaches and technologies exist for decentralising data, such as federated querying and distributed ledgers. The main question is, though, what does decentralisation really mean for web data and Knowledge Graphs? What are the main issues and tradeofs involved? These questions and others are addressed in this workshop.".
- 01HQAN403FP8QAWJCYDFD7SKWE author 115DF312-F0EE-11E1-A9DE-61C894A0A6B4.
- 01HQAN403FP8QAWJCYDFD7SKWE author urn:uuid:48cd99e3-446c-4041-b065-12df8765f50f.
- 01HQAN403FP8QAWJCYDFD7SKWE author urn:uuid:5f3672ff-d2f7-459d-86af-2ed3797b112f.
- 01HQAN403FP8QAWJCYDFD7SKWE author urn:uuid:81cf01e6-c4fa-4f4c-97a1-93ab8d733e20.
- 01HQAN403FP8QAWJCYDFD7SKWE author urn:uuid:9c746028-47c1-455d-9637-90eb02438592.
- 01HQAN403FP8QAWJCYDFD7SKWE author urn:uuid:be4f828b-26d2-43c8-80c1-d08453c88e9b.
- 01HQAN403FP8QAWJCYDFD7SKWE author urn:uuid:d0323359-cf90-474f-8de9-43f9ee9a7a43.
- 01HQAN403FP8QAWJCYDFD7SKWE dateCreated "2024-02-23T09:35:37Z".
- 01HQAN403FP8QAWJCYDFD7SKWE dateModified "2024-10-29T18:34:03Z".
- 01HQAN403FP8QAWJCYDFD7SKWE name "Trusting decentralised knowledge graphs and web data at the web conference".
- 01HQAN403FP8QAWJCYDFD7SKWE pagination urn:uuid:b3e2773e-f9fb-4456-81d9-c3358f9d3c1b.
- 01HQAN403FP8QAWJCYDFD7SKWE publisher urn:uuid:dbc7cc3a-6654-474a-b07c-bea624cd579c.
- 01HQAN403FP8QAWJCYDFD7SKWE sameAs LU-01HQAN403FP8QAWJCYDFD7SKWE.
- 01HQAN403FP8QAWJCYDFD7SKWE sourceOrganization urn:uuid:f910e91c-2f08-473c-b1a0-a98ac0dbd9f4.
- 01HQAN403FP8QAWJCYDFD7SKWE type P1.