The document discusses Wolters Kluwer's adoption of linked data principles to accelerate their business transformation processes. It describes Wolters Kluwer as an information services company providing tools for legal, tax, finance, and healthcare professionals. It also outlines their shift from print to digital content delivery and their development of a content standard and semantic model using linked data to power use cases like cross-source querying and a semantic integrator.
Adopting linked data principles for accelerating business transformation processes in Wolters Kluwer
1. ISWC 2015 – Linked Data at Wolters Kluwer
Adopting Linked Data principles for
accelerating business
transformation processes in Wolters Kluwer
Quentin Reul, PhD
Christian Dirschl
Nuria Casellas, PhD
William Flannery, PhD10/13/2015
2. ISWC 2015 – Linked Data at Wolters Kluwer
ABOUT WOLTERS KLUWER
3. ISWC 2015 – Linked Data at Wolters Kluwer
Wolters Kluwer
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Legal & Regulatory Health
Tax & Accounting Governance, Risk & Compliance
4. ISWC 2015 – Linked Data at Wolters Kluwer
Wolters Kluwer
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Legal & Regulatory Health
Tax & Accounting Governance, Risk & Compliance
Wolters Kluwer is an information service and
publishing company providing information and tools to
empower legal, tax, finance, and healthcare
professionals in making the most informed decisions.
5. ISWC 2015 – Linked Data at Wolters Kluwer
Wolters Kluwer
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Wolters Kluwer
Wolters Kluwer provides solutions to
customers in over 170 countries and provides
content in at least a dozen languages.
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8. ISWC 2015 – Linked Data at Wolters Kluwer
Wolters Kluwer Transformation
35%
43% 49% 54% 58%
68%
13%
13%
15%
15%
16%
12%52%
44%
36% 31% 26% 20%
2004 2006 2008 2010 2012 2014
Print
Services
Digital
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In 2014, 80% of Wolters Kluwer revenues were
coming from online, software and services.
9. ISWC 2015 – Linked Data at Wolters Kluwer
Wolters Kluwer Transformation
Static
content
Books
CD-Rom
Online
offerings
One size fits all
Research driven
Workflow
Integrate software
End-to-end
workflow system
Big Data
Leveraging data
exhaust for
valuable insights
Traditional
information
Segmented
solutions
Targeted
offerings
LOW OPPORTUNITY; PENETRATED HIGH OPPORTUNITY; LOWER PENETRATION
Deliveredvalue
Incremental offerings (additive, not mutually exclusive)
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10. ISWC 2015 – Linked Data at Wolters Kluwer
WOLTERS KLUWER CONTENT
STANDARD
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What is content?
Content is the [timely] presentation of
information for a purpose to an
audience through a channel in a form.
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Content Standard Evolution
DTD’s (1986) Schema’s (2001) Ontologies (2003)
Scoped to documents
Scoped to documents /
content objects
Scoped to inter-related
content objects
SGML / XML XML XHTML / RDF / RDFa / OWL
Weak/No data-typing Strong data-typing
Reuse of Strong data-typing
from other schema’s
Tight binding between model
and instance
Tight binding between model
and instance
Loose binding between model
and a collection of instances
Non-Formal descriptions of
inter-document dependencies
Non-Formal descriptions of
inter-object dependencies
Formal descriptions of inter-
object dependencies
Fragile extensibility at the
cost of precision
Limited extensibility at the
cost of complexity
Native Extensibility
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13. ISWC 2015 – Linked Data at Wolters Kluwer
Content Standard
• Content standard is based on industry Web standards;
• It aims to capture, validate and manage single source content
through separation concerns;
• It is not only intended for human consumption, but is also intended
for enabling task-focused software applications (e.g. workflows,
etc.);
• It aims to improve time to market and reduce costs through a
shared and extendable content model.
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Semantic Model
Document Structure
hasDocumentInstance
hasDocumentParthasDocumentInstance
FileResource
FileResource
Fragment
Document
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Semantic Model
Document Structure Document Metadata
hasDocumentInstance
hasDocumentParthasDocumentInstance
FileResource
FileResource
Fragment
Document
PID
2014-05-01
Title
displayTitle
localId
sortOn
publisher region
court judge
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User Feedback
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• Words != meaning
• SMEs can’t always convey semantics
• Lack of human-readable documentation
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Lesson Learned
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• Centralized management
• Rigid logical constraints hinder re-use
• Difficult to define mappings between
content formats
• RDF/XML != XML
• Words != meaning
• SMEs can’t always convey semantics
• Lack of human-readable documentation
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Refactored Semantic Model
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USE CASES
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Linked Data Traffic Pattern
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Content Delivery Channels
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Semantic
Integrator
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Content Delivery Channels
Semantic
Integrator
A Semantic Integrator allows content from heterogeneous sources
to be shared across platform based on meaning (and not syntax).
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Cross-Source Queries
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Cross-Source Queries
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Cross-Source Queries
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Documents indexed against WK topics can be
retrieved using topics defined in external
knowledge organization systems.
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CONCLUSION
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- Enabling agile integration of distributed content
- Enabling agile integration of legacy content
- Enabling task-oriented workflows
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- Enabling agile integration of distributed content
- Enabling agile integration of legacy content
- Enabling task-oriented workflows
- Leveraging the curation of open data
- Leveraging automated content enrichment
- Identifying content impacted new published item
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- Enabling agile integration of distributed content
- Enabling agile integration of legacy content
- Enabling task-oriented workflows
- Leveraging the curation of open data
- Leveraging automated content enrichment
- Identifying content impacted new published item
- Supporting the management of chunked content
- Enabling responsive content based on users’ context
- Reporting on customers’ behaviours / needs
- Enabling iterative content enrichment