Infrastructure for rapid open knowledge network development

Michael Cafarella; Michael Anderson; Iz Beltagy; Arie Cattan; Sarah Chasins; Ido Dagan; Doug Downey; Oren Etzioni; Sergey Feldman; Tian Gao; Tom Hope; Kexin Huang; Sophie Johnson; Daniel King; Kyle Lo; Yuze Lou; Matthew Shapiro; Dinghao Shen; Shivashankar Subramanian; Lucy Lu Wang; Yuning Wang; Yitong Wang; Daniel S. Weld; Jenny Vo-Phamhi; Anna Zeng; Jiayun Zou

doi:10.1002/aaai.12038

Infrastructure for rapid open knowledge network development

Michael Cafarella^*, Michael Anderson, Iz Beltagy, Arie Cattan, Sarah Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu WangYuning Wang, Yitong Wang, Daniel S. Weld, Jenny Vo-Phamhi, Anna Zeng, Jiayun Zou

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The past decade has witnessed a growth in the use of knowledge graph technologies for advanced data search, data integration, and query-answering applications. The leading example of a public, general-purpose open knowledge network (aka knowledge graph) is Wikidata, which has demonstrated remarkable advances in quality and coverage over this time. Proprietary knowledge graphs drive some of the leading applications of the day including, for example, Google Search, Alexa, Siri, and Cortana. Open Knowledge Networks are exciting: they promise the power of structured database-like queries with the potential for the wide coverage that is today only provided by the Web. With the current state of the art, building, using, and scaling large knowledge networks can still be frustratingly slow. This article describes a National Science Foundation Convergence Accelerator project to build a set of Knowledge Network Programming Infrastructure systems to address this issue.

Original language	English
Pages (from-to)	59-68
Number of pages	10
Journal	AI Magazine
Volume	43
Issue number	1
DOIs	https://doi.org/10.1002/aaai.12038
State	Published - 1 Mar 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2022 The Authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/aaai.12038

Cite this

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title = "Infrastructure for rapid open knowledge network development",

abstract = "The past decade has witnessed a growth in the use of knowledge graph technologies for advanced data search, data integration, and query-answering applications. The leading example of a public, general-purpose open knowledge network (aka knowledge graph) is Wikidata, which has demonstrated remarkable advances in quality and coverage over this time. Proprietary knowledge graphs drive some of the leading applications of the day including, for example, Google Search, Alexa, Siri, and Cortana. Open Knowledge Networks are exciting: they promise the power of structured database-like queries with the potential for the wide coverage that is today only provided by the Web. With the current state of the art, building, using, and scaling large knowledge networks can still be frustratingly slow. This article describes a National Science Foundation Convergence Accelerator project to build a set of Knowledge Network Programming Infrastructure systems to address this issue.",

author = "Michael Cafarella and Michael Anderson and Iz Beltagy and Arie Cattan and Sarah Chasins and Ido Dagan and Doug Downey and Oren Etzioni and Sergey Feldman and Tian Gao and Tom Hope and Kexin Huang and Sophie Johnson and Daniel King and Kyle Lo and Yuze Lou and Matthew Shapiro and Dinghao Shen and Shivashankar Subramanian and Wang, {Lucy Lu} and Yuning Wang and Yitong Wang and Weld, {Daniel S.} and Jenny Vo-Phamhi and Anna Zeng and Jiayun Zou",

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Cafarella, M, Anderson, M, Beltagy, I, Cattan, A, Chasins, S, Dagan, I, Downey, D, Etzioni, O, Feldman, S, Gao, T, Hope, T, Huang, K, Johnson, S, King, D, Lo, K, Lou, Y, Shapiro, M, Shen, D, Subramanian, S, Wang, LL, Wang, Y, Wang, Y, Weld, DS, Vo-Phamhi, J, Zeng, A & Zou, J 2022, 'Infrastructure for rapid open knowledge network development', AI Magazine, vol. 43, no. 1, pp. 59-68. https://doi.org/10.1002/aaai.12038

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AU - Cafarella, Michael

AU - Anderson, Michael

AU - Beltagy, Iz

AU - Cattan, Arie

AU - Chasins, Sarah

AU - Dagan, Ido

AU - Downey, Doug

AU - Etzioni, Oren

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AU - Gao, Tian

AU - Hope, Tom

AU - Huang, Kexin

AU - Johnson, Sophie

AU - King, Daniel

AU - Lo, Kyle

AU - Lou, Yuze

AU - Shapiro, Matthew

AU - Shen, Dinghao

AU - Subramanian, Shivashankar

AU - Wang, Lucy Lu

AU - Wang, Yuning

AU - Wang, Yitong

AU - Weld, Daniel S.

AU - Vo-Phamhi, Jenny

AU - Zeng, Anna

AU - Zou, Jiayun

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Infrastructure for rapid open knowledge network development

Abstract

Bibliographical note

UN SDGs

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