Dumontier OWLED2008 Panel

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Michel Dumontier

OWLED2008 discussion panel on OWL and its future.

Tecnología Educación

How Might OWL Fail? OWLED2008-EU Panel Michel Dumontier, PhD Assistant Professor of Bioinformatics Department of Biology, School of Computer Science, Institute of Biochemistry, Ottawa Institute of Systems Biology Carleton University

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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 reuse our collective knowledge, were we not stymied by incompatible formats, overlapping and incomplete vocabularies, unclear licensing, and heterogeneous 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 - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale. bio: Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research focuses on the development of computational methods for scalable and responsible discovery science. Dr. Dumontier obtained his BSc (Biochemistry) in 1998 from the University of Manitoba, and his PhD (Bioinformatics) in 2005 from the University of Toronto. Previously a faculty member at Carleton University in Ottawa and Stanford University in Palo Alto, Dr. Dumontier founded and directs the interfaculty Institute of Data Science at Maastricht University to develop sociotechnological systems for responsible data science by design. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon 2020, the European Open Science Cloud, the US National Institutes of Health and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data. This presentation was given on October 21, 2020 at CIKM2020.

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With its focus on improving the health and well being of people, biomedicine has always been a fertile, if not 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 reuse our collective knowledge, were we not stymied by incompatible formats, overlapping and incomplete vocabularies, unclear licensing, and heterogeneous 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 - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services, which is built on Semantic Web technologies, be well positioned to support automated scientific discovery on a global scale.

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ith its focus on improving the health and well being of people, biomedicine has always been a fertile, if not 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 reuse our collective knowledge, were we not stymied by incompatible formats, overlapping and incomplete vocabularies, unclear licensing, and heterogeneous 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 - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.

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Are we FAIR yet? And will it be worth it? The FAIR Principles propose essential characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by both humans and machines. The Principles act as a guide that researchers and data stewards should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”. This talk will elaborate on what FAIR is, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.Are we FAIR yet? And will it be worth it? The FAIR Principles propose essential characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by both humans and machines. The Principles act as a guide that researchers and data stewards should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”. This talk will elaborate on what FAIR is, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry. Keynote given at NETTAB2018 - http://www.igst.it/nettab/2018/

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Michel Dumontier

The future of science and business - a UM Star Lecture

The future of science and business - a UM Star Lecture

The future of science and business - a UM Star Lecture

Michel Dumontier

The FAIR Principles propose key characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by people and machines. The Principles act as a guide that researchers should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”. This talk will elaborate on what FAIR is, why we need it, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.

Are we FAIR yet?

Are we FAIR yet?

Are we FAIR yet?

Michel Dumontier

Developing and assessing FAIR digital resources

Developing and assessing FAIR digital resources

Developing and assessing FAIR digital resources

Michel Dumontier

Advancing Biomedical Knowledge Reuse with FAIR

Advancing Biomedical Knowledge Reuse with FAIR

Advancing Biomedical Knowledge Reuse with FAIR

Michel Dumontier

A Framework to develop the FAIR Metrics

A Framework to develop the FAIR Metrics

A Framework to develop the FAIR Metrics

Michel Dumontier

FAIR principles and metrics for evaluation

FAIR principles and metrics for evaluation

FAIR principles and metrics for evaluation

Michel Dumontier

Towards metrics to assess and encourage FAIRness

Towards metrics to assess and encourage FAIRness

Towards metrics to assess and encourage FAIRness

Michel Dumontier

Data Science for the Win

Data Science for the Win

Data Science for the Win

Michel Dumontier

Bio2RDF is an open-source project that offers a large and connected knowledge graph of Life Science Linked Data. Each dataset is expressed using its own vocabulary, thereby hindering integration, search, query, and browse data across similar or identical types of data. With growth and content changes in source data, a manual approach to maintain mappings has proven untenable. The aim of this work is to develop a (semi)automated procedure to generate high quality mappings between Bio2RDF and SIO using BioPortal ontologies. Our preliminary results demonstrate that our approach is promising in that it can find new mappings using a transitive closure between ontology mappings. Further development of the methodology coupled with improvements in the ontology will offer a better-integrated view of the Life Science Linked Data

2016 bmdid-mappings

2016 bmdid-mappings

2016 bmdid-mappings

Michel Dumontier

Más de Michel Dumontier (20)

A metadata standard for Knowledge Graphs

A metadata standard for Knowledge Graphs

A metadata standard for Knowledge Graphs

Data-Driven Discovery Science with FAIR Knowledge Graphs

Data-Driven Discovery Science with FAIR Knowledge Graphs

Data-Driven Discovery Science with FAIR Knowledge Graphs

Evaluating FAIRness

Evaluating FAIRness

Evaluating FAIRness

The Role of the FAIR Guiding Principles for an effective Learning Health System

The Role of the FAIR Guiding Principles for an effective Learning Health System

The Role of the FAIR Guiding Principles for an effective Learning Health System

CIKM2020 Keynote: Accelerating discovery science with an Internet of FAIR dat...

CIKM2020 Keynote: Accelerating discovery science with an Internet of FAIR dat...

CIKM2020 Keynote: Accelerating discovery science with an Internet of FAIR dat...

The role of the FAIR Guiding Principles in a Learning Health System

The role of the FAIR Guiding Principles in a Learning Health System

The role of the FAIR Guiding Principles in a Learning Health System

Acclerating biomedical discovery with an internet of FAIR data and services -...

Acclerating biomedical discovery with an internet of FAIR data and services -...

Acclerating biomedical discovery with an internet of FAIR data and services -...

Accelerating Biomedical Research with the Emerging Internet of FAIR Data and ...

Accelerating Biomedical Research with the Emerging Internet of FAIR Data and ...

Accelerating Biomedical Research with the Emerging Internet of FAIR Data and ...

Are we FAIR yet? And will it be worth it?

Are we FAIR yet? And will it be worth it?

Are we FAIR yet? And will it be worth it?

The Future of FAIR Data: An international social, legal and technological inf...

The Future of FAIR Data: An international social, legal and technological inf...

The Future of FAIR Data: An international social, legal and technological inf...

Keynote at the 2018 Maastricht University Dinner

Keynote at the 2018 Maastricht University Dinner

Keynote at the 2018 Maastricht University Dinner

The future of science and business - a UM Star Lecture

The future of science and business - a UM Star Lecture

The future of science and business - a UM Star Lecture

Are we FAIR yet?

Are we FAIR yet?

Are we FAIR yet?

Developing and assessing FAIR digital resources

Developing and assessing FAIR digital resources

Developing and assessing FAIR digital resources

Advancing Biomedical Knowledge Reuse with FAIR

Advancing Biomedical Knowledge Reuse with FAIR

Advancing Biomedical Knowledge Reuse with FAIR

A Framework to develop the FAIR Metrics

A Framework to develop the FAIR Metrics

A Framework to develop the FAIR Metrics

FAIR principles and metrics for evaluation

FAIR principles and metrics for evaluation

FAIR principles and metrics for evaluation

Towards metrics to assess and encourage FAIRness

Towards metrics to assess and encourage FAIRness

Towards metrics to assess and encourage FAIRness

Data Science for the Win

Data Science for the Win

Data Science for the Win

2016 bmdid-mappings

2016 bmdid-mappings

2016 bmdid-mappings

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Real Time Object Detection Using Open CV

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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

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Anna Loughnan Colquhoun

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

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Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

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Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

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Modernizing Securities Finance: The cloud-native prime brokerage platform transforming capital markets. Madhu Subbu, Managing Director, Head of Securities Finance Engineering Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

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Automating Google Workspace (GWS) & more with Apps Script

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Automating Google Workspace (GWS) & more with Apps Script

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Corporate and higher education May webinar.pptx

Corporate and higher education May webinar.pptx

Rustici Software

AXA XL - Insurer Innovation Award Americas 2024

AXA XL - Insurer Innovation Award Americas 2024

AXA XL - Insurer Innovation Award Americas 2024

The Digital Insurer

Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

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Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

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A Year of the Servo Reboot: Where Are We Now?

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"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

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Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

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Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

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Apidays New York 2024 - The value of a flexible API Management solution for O...

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Apidays New York 2024 - The value of a flexible API Management solution for O...

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Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

Automating Google Workspace (GWS) & more with Apps Script

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Corporate and higher education May webinar.pptx

Corporate and higher education May webinar.pptx

Corporate and higher education May webinar.pptx

AXA XL - Insurer Innovation Award Americas 2024

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Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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MINDCTI Revenue Release Quarter One 2024

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Dumontier OWLED2008 Panel

1. How Might OWL Fail? OWLED2008-EU Panel Michel Dumontier, PhD Assistant Professor of Bioinformatics Department of Biology, School of Computer Science, Institute of Biochemistry, Ottawa Institute of Systems Biology Carleton University

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