Knowledge Tree
linked data
Also known as: linked data systems
Facts (17)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 13 facts
referenceD. Gerber and A.-C.N. Ngomo presented 'Bootstrapping the linked data web' at the 1st Workshop on Web Scale Knowledge Extraction at the International Semantic Web Conference in 2011.
referenceThe Microsoft Academic Knowledge Graph is a linked data source containing 8 billion triples of scholarly data, as described by M. Färber at the 18th International Semantic Web Conference in 2019.
referenceA. Zaveri, A. Rula, A. Maurino, R. Pietrobon, J. Lehmann, and S. Auer authored 'Quality assessment for linked data: A survey', published in Semantic Web in 2016.
referenceStaTIX is a statistical type inference method for Linked Data, introduced by A. Lutov, S. Roshankish, M. Khayati, and P. Cudré-Mauroux in 2018.
referenceY. Ma, H. Gao, T. Wu, and G. Qi proposed using association rule mining to learn disjointness axioms for inconsistency detection in linked data, presented at the 2014 China Semantic Web Symposium.
claimGraphQL-LD aims to simplify the querying of Linked Data via GraphQL.
referenceR. Usbeck, A.-C. Ngonga Ngomo, S. Auer, D. Gerber, and A. Both authored 'AGDISTIS - Graph-Based Disambiguation of Named Entities using Linked Data,' which was presented at the 13th International Semantic Web Conference in 2014.
referenceHobbit (Holistic Benchmarking of Big Linked Data) is a platform that facilitates benchmarking of linked data systems and components by providing a standardized framework for evaluating and comparing algorithms and approaches used in processing linked datasets.
referenceA. Polleres, M.R. Kamdar, J.D. Fernández, T. Tudorache, and M.A. Musen proposed a more decentralized vision for Linked Data in their 2018 paper presented at the 2nd Workshop on Decentralizing the Semantic Web.
referenceJ.M. Giménez-García, M.C. Duarte, A. Zimmermann, C. Gravier, E.R. Hruschka, and P. Maret authored 'NELL2RDF: Reading the Web, Tracking the Provenance, and Publishing it as Linked Data', published in the CKGSemStats@ISWC proceedings in 2018.
referenceD. Kontokostas, A. Zaveri, S. Auer, and J. Lehmann developed 'TripleCheckMate', a tool for crowdsourcing the quality assessment of linked data, presented at the 2013 International Conference on Knowledge Engineering and the Semantic Web.
referenceM. Nentwig and E. Rahm authored 'Incremental clustering on linked data', presented at the 2018 IEEE International Conference on Data Mining Workshops in 2018.
referenceH. Paulheim and C. Bizer proposed a method for improving the quality of Linked Data by utilizing statistical distributions in 2014.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 2 facts
referenceBizer, Heath, and Berners-Lee (2023) published 'Linked data-the story so far' in 'Linking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide Web'.
referenceThe Google Knowledge Graph integrates search results with linked data to provide users with contextually relevant and comprehensive information about entities on the results page.
Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Apr 3, 2023 1 fact
referencePereira et al. (2017) published 'Linked data in education: a survey and a synthesis of actual research and future challenges' in IEEE Trans Learn Technol 11(3), which surveys the state of linked data in the education sector and identifies future research challenges.
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 1 fact
referenceHalpin, H., Hayes, P.J., McCusker, J.P., McGuinness, D.L., and Thompson, H.S. analyzed identity in linked data, specifically the 'owl:sameas' property, at the 9th International Semantic Web Conference (ISWC 2010) in Shanghai, China.