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Industry-scale Knowledge Graphs: Lessons and Challenges: Five diverse technology companies show how it’s done

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Jamie TaylorAuthors Info & Claims

Queue, Volume 17, Issue 2

Pages 48 - 75

https://doi.org/10.1145/3329781.3332266

Published: 01 April 2019 Publication History

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Abstract

This article looks at the knowledge graphs of five diverse tech companies, comparing the similarities and differences in their respective experiences of building and using the graphs, and discussing the challenges that all knowledge-driven enterprises face today. The collection of knowledge graphs discussed here covers the breadth of applications, from search, to product descriptions, to social networks.

References

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Lin, Y., Liu, Z., Sun, M., Liu, Y., Zhu, X. 2015. Learning entity and relation embeddings for knowledge graph completion. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) 15, 2181-2187.

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Cited By

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McGinty HShimizu CHitzler PSharda A(2024)Towards a Global Food Systems DatahubSemantic Web10.3233/SW-24368815:4(1129-1132)Online publication date: 4-Oct-2024
https://doi.org/10.3233/SW-243688
Horváth I(2024)Utilization of synthetic system intelligence as a new industrial assetJournal of Integrated Design & Process Science10.3233/JID-22002427:2(111-133)Online publication date: 19-Mar-2024
https://dl.acm.org/doi/10.3233/JID-220024
Zhang YXiao G(2024)Classification of Knowledge Graph Completeness Measurement TechniquesJournal of Systems Engineering and Electronics10.23919/JSEE.2023.00015035:1(154-162)Online publication date: Feb-2024
https://doi.org/10.23919/JSEE.2023.000150
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Industry-scale Knowledge Graphs: Lessons and Challenges: Five diverse technology companies show how it’s done
1. Computing methodologies
  1. Artificial intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2019

Published in QUEUE Volume 17, Issue 2

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McGinty HShimizu CHitzler PSharda A(2024)Towards a Global Food Systems DatahubSemantic Web10.3233/SW-24368815:4(1129-1132)Online publication date: 4-Oct-2024
https://doi.org/10.3233/SW-243688
Horváth I(2024)Utilization of synthetic system intelligence as a new industrial assetJournal of Integrated Design & Process Science10.3233/JID-22002427:2(111-133)Online publication date: 19-Mar-2024
https://dl.acm.org/doi/10.3233/JID-220024
Zhang YXiao G(2024)Classification of Knowledge Graph Completeness Measurement TechniquesJournal of Systems Engineering and Electronics10.23919/JSEE.2023.00015035:1(154-162)Online publication date: Feb-2024
https://doi.org/10.23919/JSEE.2023.000150
Romanova A(2024)Enhancing NLP through GNN-Driven Knowledge Graph Rewiring and Document Classification2024 35th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT61870.2024.10516410(579-587)Online publication date: 24-Apr-2024
https://doi.org/10.23919/FRUCT61870.2024.10516410
Galluzzo Y(2024)A comprehensive review of the data and knowledge graphs approaches in bioinformaticsComputer Science and Information Systems10.2298/CSIS230530027G21:3(1055-1075)Online publication date: 2024
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Gavrilova TKuznetsova AGreenberg E(2024)Knowledge Mapping for the University: Analysis of Approaches and an Example of Its UseOpen Education10.21686/1818-4243-2024-3-12-2428:3(12-24)Online publication date: 15-Jul-2024
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Razniewski SArnaout HGhosh SSuchanek F(2024)Completeness, Recall, and Negation in Open-world Knowledge Bases: A SurveyACM Computing Surveys10.1145/363956356:6(1-42)Online publication date: 5-Jan-2024
https://dl.acm.org/doi/10.1145/3639563
Walker JKoutsiana ENwachukwu MMeroño Peñuela ASimperl E(2024)The Promise and Challenge of Large Language Models for Knowledge Engineering: Insights from a HackathonExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650844(1-9)Online publication date: 11-May-2024
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Li ZSa GLiu ZLi BTan J(2024)Top-Down Hierarchical Construction and Application of a Domain Knowledge Graph Based on Multimodal Design InformationJournal of Mechanical Design10.1115/1.4066680147:3Online publication date: 18-Oct-2024
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Habiburahman MWiharja KFikriansyah M(2024)Beyond Benchmarks: Assessing Knowledge Graph Completion Methods on Non-Benchmark Employee Data2024 International Conference on Data Science and Its Applications (ICoDSA)10.1109/ICoDSA62899.2024.10652136(28-33)Online publication date: 10-Jul-2024
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Knowledge Graphs: Opportunities and Challenges

Knowledge Retention in the Service Industry

Comparability Graphs Among Cover-Incomparability Graphs

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