Case Study: A Real-World Implementation Of Linked Data

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Dimitri van Hees, Technical Architect/Data Specialist, Freshheads BV Learn how one organization put Linked Data to work for it by adding a sixth star --- using APIs --- to Sir Tim Berners-Lee’s 5-Star Scale for implementing Linked Open Data. This session includes an introduction to Linked Open Data, Linked Closed Data, and Berners-Lee's 5 star scale and do a step-by-step walk-through of a successful implementation. It will include a frank discussion regarding the technical and organizational challenges encountered with a real-world Linked Data project and how those challenges were overcome. In this session, you will not only learn how to think about Linked Data APIs in real world terms, but also how to "sell" it to the organization." If you are attending this presentation, you may also want to attend Markus Lanthaler's presentation on Why and How to Optimize Your Data Architecture for an Integrated Future.

Tecnologia

Making The Most of Existing
and Mashable Data Sources
Dimitri van Hees, APIcon UK 2014

About me
• Technical Architect
• Data Specialist
• Freshheads BV
• API supporter

About me
“The only bad thing about API is
that it’s the inverse of IPA”

About me
• Brewmaster
• MQTT API driven brewery
“De Brouwtoren”

Buzzwords
• #BigData
• #OpenData
• #LinkedOpenData
• #SemanticWeb
• #Web30
• #IoT

Buzzwords
• #BigData: lots of data
• #OpenData: free data
• #LinkedOpenData: free Linked Data
• #SemanticWeb: Linked Data
• #Web30: Linked Data
• #IoT: Connected devices, sensor data

Data quality
• Machine readable?
• Accessible via webservices?
• Up-to-date?
• Verified?

Data quantity
• Can we store it?
• Can we process it?
• Is it representative?

Data price
• What does it cost?
• Do we need an API key?
• Are we allowed to use it?
• And also for commercial purposes?

Government data
• Not often machine readable
• Not much external links

Freebase
• REST interface
• MQL (Metaweb Query Language)
• Free API key
• Free RDF download
• Search widget
• http://www.freebase.com/m/09889g
• https://www.googleapis.com/freebase/v1/topic/m
/09889g

DBPedia
• Wikipedia as Linked Data
• Synchronizes Wikipedia periodically
• Free RDF download
• SPARQL endpoint (dbpedia-owl:wikiPageID)
• DBPedia lookup API
• http://lookup.dbpedia.org/api/search.asmx/Keywo
rdSearch?QueryString=Michael%20Jackson
• http://dbpedia.org/sparql

Semantic API’s
• Dandelion.eu
• 1000 free requests/day
• Provides links to DBPedia as well
• https://dandelion.eu/products/datatxt/nex/demo/
?exec=true#

Semantic
API’s
‘s-Hertogenbosch
Den Bosch
Den Bosch, Netherlands
http://nl.dbpedia
.org/resource/'s-
Hertogenbosch

Or just add it yourself…
…but never ever re-invent the wheel!

Thank you!
• Twitter: http://twitter.com/dvh
• E-mail: dimitri@freshheads.com
• GitHub: http://github.com/dvh
• LinkedIn: https://linkedin.com/in/dimitrivanhees

Thank you!
• Twitter: http://twitter.com/dvh
• E-mail: dimitri@freshheads.com
• GitHub: http://github.com/dvh
• LinkedIn: https://linkedin.com/in/dimitrivanhees
• Brewery: http://facebook.com/brouwtoren

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Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Scaling API-first – The story of a global engineering organization

Radu Cotescu

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

sammart93

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Case Study: A Real-World Implementation Of Linked Data

1. Making The Most of Existing and Mashable Data Sources Dimitri van Hees, APIcon UK 2014

2. About me • Technical Architect • Data Specialist • Freshheads BV • API supporter

3. About me “The only bad thing about API is that it’s the inverse of IPA”

4. About me • Brewmaster • MQTT API driven brewery “De Brouwtoren”

6. Buzzwords • #BigData • #OpenData • #LinkedOpenData • #SemanticWeb • #Web30 • #IoT

7. Buzzwords • #BigData: lots of data • #OpenData: free data • #LinkedOpenData: free Linked Data • #SemanticWeb: Linked Data • #Web30: Linked Data • #IoT: Connected devices, sensor data

8. Real world Quality Quantity Price

9. Data quality • Machine readable? • Accessible via webservices? • Up-to-date? • Verified?

10. Data quantity • Can we store it? • Can we process it? • Is it representative?

11. Data price • What does it cost? • Do we need an API key? • Are we allowed to use it? • And also for commercial purposes?

12. Privacy

13.

14. Government data • Not often machine readable • Not much external links

15. Freebase

16. Freebase • REST interface • MQL (Metaweb Query Language) • Free API key • Free RDF download • Search widget • http://www.freebase.com/m/09889g • https://www.googleapis.com/freebase/v1/topic/m /09889g

17. DBPedia

18. DBPedia • Wikipedia as Linked Data • Synchronizes Wikipedia periodically • Free RDF download • SPARQL endpoint (dbpedia-owl:wikiPageID) • DBPedia lookup API • http://lookup.dbpedia.org/api/search.asmx/Keywo rdSearch?QueryString=Michael%20Jackson • http://dbpedia.org/sparql

19. Semantic API’s • Dandelion.eu • 1000 free requests/day • Provides links to DBPedia as well • https://dandelion.eu/products/datatxt/nex/demo/ ?exec=true#

20. Semantic API’s ‘s-Hertogenbosch Den Bosch Den Bosch, Netherlands http://nl.dbpedia .org/resource/'s- Hertogenbosch

21. Or just add it yourself… …but never ever re-invent the wheel!

22. Thank you! • Twitter: http://twitter.com/dvh • E-mail: dimitri@freshheads.com • GitHub: http://github.com/dvh • LinkedIn: https://linkedin.com/in/dimitrivanhees

23. Thank you! • Twitter: http://twitter.com/dvh • E-mail: dimitri@freshheads.com • GitHub: http://github.com/dvh • LinkedIn: https://linkedin.com/in/dimitrivanhees • Brewery: http://facebook.com/brouwtoren

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