Role of Linked Data for Scholarly Publishers

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Making Semantics Work The Role of Linked Data in Scholarly Publishing 1 June 2012 Arlington VA USA Brief by Bernadette Hyland, co-chair, W3C Government Linked Data Working Group CEO, 3 Round Stones, Inc Email. [email protected] Twitter: @BernHyland This presentation: http://slideshare.net/3roundstones 1 Wednesday, May 30, 12

description

Society of Scholarly Publishing Conference 2012 talk on "Making Semantics Work". Bernadette Hyland describes what publishers need to be paying attention to with respect to data reuse and sharing. She describes goals, approaches and platforms for the internal and external publishing of data as Linked Data for more efficient and effective integration, reuse and distribution.

Transcript of Role of Linked Data for Scholarly Publishers

Page 1: Role of Linked Data for Scholarly Publishers

Making Semantics WorkThe Role of Linked Data in

Scholarly Publishing 1 June 2012

Arlington VA USA

Brief by Bernadette Hyland, co-chair, W3C Government Linked Data Working Group

CEO, 3 Round Stones, Inc

Email. [email protected]: @BernHyland

This presentation: http://slideshare.net/3roundstones

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What is the semantic web?

The Semantic Web is a web of data.

The Semantic Web is about two things.It is about common formats forintegration and combination

of data drawn from diversesources… It is also about

language for recordinghow data relates toreal world objects.

from the W3C web site

Slide credit: Scott Brinker @chiefmartec

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Content Data is KingSlide credit: Scott Brinker @chiefmartec

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Data is really flowing...

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Linked data is about data that is reusable

A simple yetrevolutionary change in perspective.

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Photo credit: http://www.flickr.com/photos/sjungling/5974860/

We’re living in a golden

age ...6Wednesday, May 30, 12

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“Knowledge is of two kinds.We know a subject our ourselves, or we know

where we can find information upon it.”

by Samuel Johnson18th Century British author, linguist & lexicographer

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from:

to: LinkedEnterpriseData

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Book PublishersGoals: Improve internal manuscript pipelines, expose

additional ways of finding and using content

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New Media

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Scholars pain point ...

#1 - Data access and reuseLarge amounts of diverse data produced by complex experiments, simulations & observations

• The growth rate of PubMed alone is one paper per minute

• Hard to validate, reproduce & leverage scientific data• Not easily accessible nor interlinked

(Exception is ‘omics’ research, deposit of sequences required for publication)

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1. Lower costs of combining data silos

2. Control data quality & protect data/brand standards

3. Produce high quality data for external consumption

4. Leverage structured data increasingly available via the Web

5. Distribute & promote content (SEO++)

6. Increase paid subscriptions

7. Provide new data initiatives, i.e, a “kitchen” for mashups

Publishers looking to ...

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Determining how much data to share…

…or not to share.“Legal”

“Marketing”

Slide courtesy of Scott Brinker @chiefmartec

Business decisions are yours...

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Some data may be better harnessed as an incentive for other business goals

• For internal use

• For external use by

• new & existing authors

• new editors

• new subscribers

• new partners

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Why Linked Data matters ...• It scales ... to Web-scale• Does not require a super model• Based on International Data Exchange Standards (RDF, SPARQL)

•Lingua franca for data exchange

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• Linked Data is about publishing and consuming data using international data standards

• Based on 20 year old idea

• A system of linked information systems

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SemanticTechnologies

SemanticWeb

LinkedOpenData

LinkedEnterpriseData

RDBMS

BI

CRM

Data landscape

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Agreement on priorities may be contentious among stakeholders.

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YouTube HDTV

watch videos watch Better videos

Publish videos

Share videos

Rate videos

Discuss videos

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Linked Data RDBMS

Use data Use data

Publish data

Share data

Rate data

Discuss data

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Credit: Bradley P. Allen, Elsevier Labs26Wednesday, May 30, 12

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Linked Data Management

platform

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CONTENTMANAGEMENT

SYSTEM

LINKED DATAMANAGEMENT

SYSTEM

UNSTRUCTURED

TEXT

TEXT

STRUCTURED

DATA

DATA

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•Callimachus is a framework for data-driven applications based on Linked Data principles

•Callimachus allows Web developers to easily create data driven applications for the Web

•Available as Open Source (FLOSS) & commercially supported version

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Espaces SemantiquesUS Government Printing Office

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Publishing Linked Data will require continual nurturing but the rewards are worth it

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Goal:Achieve balance between openness vs. protection, distributed vs. controlled, standardized vs. loosely-coupled data relationships.

Slide credit: Scott Brinker @chiefmartec

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• Seek balance for sharing and reuse• Data is king • Publish in reusable format (RDF family of standards)

• Use OPEN vs proprietary in data formats

• Define a URI Policy and Strategy, document it and ensure editors & authors use it

• Best practices and vocabularies exist -- don’t recreate the wheel

Recommendations

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This work is Copyright © 2011-2012 3 Round Stones Inc.It is licensed under the Creative Commons Attribution 3.0 Unported LicenseFull details at: http://creativecommons.org/licenses/by/3.0/

You are free:

to Share — to copy, distribute and transmit the work

to Remix — to adapt the work

Under the following conditions:Attribution. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.

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