Accelerating Discovery Science with an Internet of FAIR Data and Services

Michel Dumontier

doi:10.1145/3340531.3417407

Abstract

Biomedicine has always been a fertile and challenging domain for computational discovery science. Indeed, the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies offer exciting opportunities to mine our collective knowledge, were we not stymied by incompatible formats, incomplete and overlapping vocabularies, confusing licensing policies, and heterogeneous data access points.In this talk, I will discuss our work to create computational standards, platforms, and methods to wrangle knowledge into simple, but effective representations based on semantic web technologies that are maximally FAIR - Findable, Accessible, Interoperable, and Reuseable [1] - and to further use these representations for biomedical knowledge discovery. However, only with crucial additional developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.

Original language	English
Title of host publication	CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT
Publisher	Association for Computing Machinery (ACM)
Pages	3-3
Number of pages	1
ISBN (Print)	9781450368599
DOIs	https://doi.org/10.1145/3340531.3417407
Publication status	Published - 2020
Event	29th ACM International Conference on Information and Knowledge Management - Online, Galway, Ireland Duration: 19 Oct 2020 → 23 Oct 2020 Conference number: 29 https://www.cikm2020.org/ https://www.cikm2020.org/index.html

Conference

Conference	29th ACM International Conference on Information and Knowledge Management
Abbreviated title	CIKM 2020
Country/Territory	Ireland
City	Galway
Period	19/10/20 → 23/10/20
Internet address	https://www.cikm2020.org/ https://www.cikm2020.org/index.html

Keywords

FAIR data
discovery science
knowledge representation
data science
privacy-preserving data mining

Access to Document

10.1145/3340531.3417407

Cite this

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title = "Accelerating Discovery Science with an Internet of FAIR Data and Services",

abstract = "Biomedicine has always been a fertile and challenging domain for computational discovery science. Indeed, the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies offer exciting opportunities to mine our collective knowledge, were we not stymied by incompatible formats, incomplete and overlapping vocabularies, confusing licensing policies, and heterogeneous data access points.In this talk, I will discuss our work to create computational standards, platforms, and methods to wrangle knowledge into simple, but effective representations based on semantic web technologies that are maximally FAIR - Findable, Accessible, Interoperable, and Reuseable [1] - and to further use these representations for biomedical knowledge discovery. However, only with crucial additional developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.",

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publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "29th ACM International Conference on Information and Knowledge Management, CIKM 2020 ; Conference date: 19-10-2020 Through 23-10-2020",

url = "https://www.cikm2020.org/, https://www.cikm2020.org/index.html",

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Dumontier, M 2020, Accelerating Discovery Science with an Internet of FAIR Data and Services. in CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT. Association for Computing Machinery (ACM), pp. 3-3, 29th ACM International Conference on Information and Knowledge Management, Galway, Ireland, 19/10/20. https://doi.org/10.1145/3340531.3417407

Accelerating Discovery Science with an Internet of FAIR Data and Services. / Dumontier, Michel.
CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT. Association for Computing Machinery (ACM), 2020. p. 3-3.

Research output: Chapter in Book/Report/Conference proceeding › Conference Abstract/Poster in proceeding › Academic

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