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Linked Data in Canada: Behind the Curve MJ Suhonos

CLDI 2016: Linked Data in Canada

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Page 1: CLDI 2016: Linked Data in Canada

Linked Data in Canada:Behind the Curve

MJ Suhonos

Page 2: CLDI 2016: Linked Data in Canada

• openness advocate: • open source • open access • open data

• LD advocate since 2010

• SWIB PC since 2013

• Ruby RDF contributor

Page 3: CLDI 2016: Linked Data in Canada

• openness advocate: • open source • open access • open data

• LD advocate since 2010

• SWIB PC since 2013

• Ruby RDF contributor

• never implemented a project using linked data

Page 4: CLDI 2016: Linked Data in Canada

A Brief History

Page 5: CLDI 2016: Linked Data in Canada

2011: W3C LLD Report

"to help increase global interoperability of library data on the Web, by bringing together people involved in Semantic Web activities — focusing on Linked Data — in the library community and beyond, building on existing initiatives, and identifying collaboration tracks for the future"

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Recommendations1. develop library data standards compatible with

Linked Data

2. identify sets of data for exposure as Linked Data

3. foster a discussion about Open Data and rights

4. increase library participation in Semantic Web standardization

Page 7: CLDI 2016: Linked Data in Canada

European National Libraries

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• Britain & France (2010)

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• Britain & France (2010)

• Finland & Sweden (2012) • research projects to

expose Linked Data

• USA & Germany (2012) • work with BIBFRAME

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• Britain & France (2010)

• Finland & Sweden (2012) • research projects to

expose Linked Data

• USA & Germany (2012) • work with BIBFRAME

• Netherlands (2016) • work with Wikipedia

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Cultural Heritage Organizations

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• DBpedia (2009) • research project using

Wikipedia data

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• DBpedia (2009) • research project using

Wikipedia data

• Europeana, European Library, DPLA (2013)

Page 14: CLDI 2016: Linked Data in Canada

• DBpedia (2009) • research project using

Wikipedia data

• Europeana, European Library, DPLA (2013)

• BBC (2014) • custom ontologies

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Corporations

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• Google, Yahoo, Bing (2011) • Schema.org &

microdata SEO

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• Google, Yahoo, Bing (2011) • Schema.org &

microdata SEO

• OCLC, Zepheira (2012)

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• Google, Yahoo, Bing (2011) • Schema.org &

microdata SEO

• OCLC, Zepheira (2012)

• Talis (2012) • abandons semantic

web business

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Canada

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• BANQ (2013) • LODLAM summit

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• BANQ (2013) • LODLAM summit

• LAC • $30M funding cut • 20% staff cut

• Canadiana • ¯\_(ツ)_/¯

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How can we do better?

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• “librarians in Canada must work across departments, institutions, and countries to create new workflows and tools”

• Participation, not emulation

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We must participate internationally

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• Disparity between web & library worldview

• From passive consumers to active developers of web technology

• eg. LDOW 2016 (Montreal): no library representation

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We must contribute to the web community

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• “Linked Data … [will] ensure that Canada’s cultural heritage is easily discoverable”

• Misunderstanding of Linked Data, Open Data, and the Semantic Web

• Moving our data into the web, where it will live

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We must think differently about data

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• Lack of commitment to learning about technology & how to use new tools

• Culture of inaction and fear

• Stop waiting for someone else to do it

• ask questions, try things, learn how the web works

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We must all learn about technology

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• Attachment to traditional vendors & business models

• How does Linked Data fit into the business /revenue model?

• What is open (and not) and why (and not)?Linked Data is not necessarily Open Data

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We must work together honestly

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• Experimentation & funding: investment in libraries’ technological independence

• Vaccine against technical debt

• eg. Open Source web & library technology

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We must embrace openness and share

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Final Perspective

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Linked Data

Open Data

The Semantic

Web

Legal rights

Technology

Page 37: CLDI 2016: Linked Data in Canada

Linked Data

Open Data

The Semantic

Web

💩You are here

Legal rights

Technology