Linked Data has become a broadly adopted approach for information management and data management not only by government organisations but also more and more by various industries. Enterprise linked data tackles several challenges like the improvement of information retrieval tools or the integration of distributed data silos. Enterprises understand better and better why their information management should not be limited by organisational boundaries but should rather consider to integrate and link information from different spheres like the public internet, government organisations, professional information providers, customers and even suppliers. On the other hand, enterprise IT architects still tend to pull down the shutters wherever possible. The continuation of the success of the Semantic Web doesn't seem to be limited by technical barriers anymore but rather by people's mindsets of intranets being strictly cut off from other information sources. In this talk I will throw new light on the reasons why metadata is key for professional information management, and why W3C's semantic web standards are so important to reduce costs of data management through economies of scale. I will discuss from a multi-stakeholder perspective several use cases for the industrialization of semantic technologies and linked data.

1. Enterprise
Linked Data
Open or
closed?
Andreas Blumauer
CEO
Semantic Web Company
SMWCon Fall 2014
October 1-3 in
Vienna, Austria

2. About Semantic Web Company (SWC)
SWC was founded 2001 in Vienna, Austria
Over 20 experts in linked data technologies
Product: PoolParty Semantic Platform
Serving customers from three continents
EU- & US-based partner network

3. Our network: Customers & Partners
Finance / Automotive / Publisher / Health Care / Public Administration / Energy / Education
Customers
● Credit Suisse
● Daimler
● Roche
● Wolters Kluwer
● Tieto
● World Bank Group
● The Pokémon Company
● Healthdirect Australia
● Ministry of Finance (A)
● Wood Mackenzie
● Red Bull Media House
● Council of the E.U.
● TC Media
● American Physical Society
● Education Services Australia
● Pearson
● Techtarget
● Norwegian Directorate of Immigration
● REEEP
● European Commission
● Canadian Broadcasting Corporation (CBC)
● Bank of America
Partners
● Cognizant
● EBCONT
● EPAM Systems
● iQuest
● PwC
● DTI AG
● Tenforce
● OpenLink Software
● Ontotext
● Gravity Zero
● bridgingIT
● Altotech
● Wolters Kluwer
● Term Management
● Taxonomy Strategies
● Search explained
● WAND
● Digirati
● Cognistreamer
● Linked Data Factory
● Taxonic
● semweb

4. FAQs: How enterprises dive deeper into
linked data technologies & methodologies
1. What is linked data?
2. How do we benefit from it?
What are the use cases for linked data?
3. Will it replace our existing systems,
e.g. enterprise search?
4. Can we reuse existing metadata, glossaries,
schemes & vocabularies?
5. How can we integrate linked data into our DMS, CMS, …
6. Where should we start?

5. What is Linked Data?
An enterprise
perspective

6. Graphs everywhere...
Microsoft
Facebook
Google

7. Things are the key elements of graphs
which open the doors to ‘smart data’
It’s all about
things,
not strings!

8. Add relations between things and
link them with other knowledge graphs
http://www.mycom.
com/taxonomy/6234672
http://www.mycom.
com/taxonomy/9734585
http://www.mycom.
com/taxonomy/4543567
is winner of
http://musicbrainz.org/artist/1036b808-f58c-4a3e-b461-a2c4492ecf1b
https://twitter.com/nickiminaj
http://open.spotify.com/artist/0hCNtLu0JehylgoiP8L4Gh
http://www.imdb.com/name/nm3747326/
http://viaf.org/viaf/154110584
http://www.youtube.com/user/NickiMinajAtVEVO
http://dbpedia.org/resource/Nicki_Minaj
http://www.freebase.com/m/047sxrj
related
Harvest facts, references, images, videos, ….
persons
events

9. Link your knowledge graphs with your
documents and data streams!
http://www.mycom.
com/taxonomy/6234672
3
Miley Cyrus
prefLabel
image
http://www.mycom.
com/images/90546089
http://www.mycom.
com/taxonomy/9734585
4
Nicki Minaj
prefLabel
altLabel Onika Tanya Maraj
http://www.mycom.
com/taxonomy/4543567
prefLabel
altLabel
MTV Video
Music Award
VMA

10. Use Schema.org or other ontologies to
extend your knowledge graph
http://www.mycom.
com/taxonomy/6234672 http://www.mycom.
com/taxonomy/9734585
http://www.mycom.
com/taxonomy/4543567
http://schema.org/knows
http://schema.org/performer
http://schema.org/Person
http://schema.org/MusicEvent
http://schema.org/MusicRecording
http://www.mycom.
com/taxonomy/545888
http://schema.org/byArtist

11. Linked data standards → Network effects

12. How do we benefit
from it?
What are the use cases
for linked data?

13. Benefit arguments
Cost effectiveness The systemic view Operating
efficiency
Basic
argument
IT-Management /
Software Architect
Information &
Knowledge Management
Business Process
Management
Efficient
and agile
data model
Better reuse of
existing information
resources helps to save
costs
Better understanding of
relations between things
increases communication
skills
Unified views on
business objects
lead to better
decisions
Higher
information
quality
Efficient handling of
metadata
Increased transparency on
inconsistencies and
contradictions
Information flows
adapt to the needs
of the user
Improved
information
retrieval
Automatic structuring
of unstructured data
help to save costs
Consistent use of controlled
vocabularies triggers
additional network effects
BI-like, complex
queries become
possible

14. Use cases for linked data -
3 archetypical scenarios
Unified Views Contextual awareness BI-like, complex queries
http://reegle.info/countries http://www.eip-water.eu/ http://www.gbpn.org/

15. Will it replace our
existing systems?
An architectural
question

16. Things are everywhere!
A four-layered information architecture
enterprise
knowledge model
domain specific
knowledge model
annotation &
categorization
legacy data
& documents

17. It won’t replace existing systems, but it
will change the way apps are developed

18. Make conceptual model & the semantics
of your data explicitly available

19. PoolParty Semantic Integrator:
Unified Views on various data sources
based on

20. Can we reuse
existing metadata?
Glossaries, schemes &
vocabularies

21. Revisiting the good old
‘ontology continuum’
Taxonomy
Glossaries &
Folksonomy
Thesaurus
Semantic
Expressivity
Ontology
How about
linkability?
Is this really a
continuum?
What do we
need for text
mining?

22. From CSV and Excel to Taxonomies

23. From Folksonomies to Taxonomies
Free terms (candidate terms) are extracted from document collections
… and asserted into the
controlled vocabulary.

24. From Taxonomies to Ontologies:
Start with SKOS...

25. … and apply ontologies

26. Linkability: Modularize knowledge graphs
like you do with software!

27. SKOS is a ‘semantic interface’ to retrieve
and link distributed content
WKD German labor law thesaurus Eurovoc
STW
Thesaurus
DBpedia

28. How can we
integrate linked data
into our systems?

29. Use PoolParty PowerTagging to integrate
with Enterprise Content Systems
SharePoint
Drupal
Confluence

30. See how it works:
PoolParty components & workflows
works on
basis for
● reference taxonomies
● linked data sources
● text reference corpora
enrich
basis for
Developer
Taxonomist/
Ontologist
● Confluence, WordPress
SharePoint, Drupal
● search engine
● database
Content is user of
Manager
enrich
annotate
basis for
analyzes
uses API

31. Where should we
start?
Start SKOS,
grow big!

32. SKOS is at the intersection of three
disciplines and their paradigms
SKOS
librarians &
taxonomists
data engineers &
schemas & artificial intelligence
taxonomies & ontologies
classification
systems
text mining &
data analytics
computational linguists &
information managers

33. SKOS makes taxonomies/thesauri
accessible, linkable & reusable
http://www.w3.org/2004/02/skos/

34. SKOS as a basis to visualize and browse
semantic knowledge graphs

35. From Simple SKOS to
large knowledge graphs
Generate 1st
version of SKOS
taxonomy
your data,
e.g. Excel
your
docs
Edit,extend &
curate
taxonomy
Extend schema,
apply ontologies,
use SKOS-XL
Link and map
between
taxonomies
and LD graphs
- Taxonomy Editing
- Collaborative workflows
- Free term extraction
- Tag recommender
- Quality Checker
- Reuse of existing
vocabularies
- Corpus Analysis
- Excel import
- XML import
- Linked data harvester
your CMS
- Reuse existing ontologies
- Create custom schemes
- Apply SKOS-XL
- Apply ontologies on your
SKOS taxonomy
- Automatic mapping between
taxonomies
- Linked Data frontend
- Link to other LD graphs, e.g.
DBpedia or Geonames

36. SKOS: You are not alone...
● Eurovoc (EU)
● ESCO (EU)
● Jurivoc (SUI)
● ScoT (AUS)
● Agrovoc (UN)
● MeSH (US)
● Getty Vocabularies (US)
● GEMET (EEA)
● GeoThesaurus (AT)
● STW Economy (DE)
● Polythematic SH (CZ)
● Canadian Subject Headings (Can)
● LCSH (US)
● Worldbank Taxonomy (WBG)
● Labor Law Germany Thesaurus (DE)
● Reegle Thesaurus (REEEP)
● Austrian Tax Law Thesaurus (AT)
● UNESCO Thesaurus (UN)
● New York Times SH (US)
● RAMEAU subject headings (FR)
● TheSoz (DE)
● The General Finnish Thesaurus (FIN)
● NAL Thesaurus (US)
● Social Semantic Web Thesaurus (AT)
● Courts thesaurus (DE)
● SITC-V4 (UN)
● Google Product Taxonomy (US)
● NAICS 2012 (US)
● Common Procurement Vocabulary (ES)
● UKAT UK Archival Thesaurus (UK)
● NASA taxonomy (US)
● IVOA astronomy vocabularies (UK)
● IPTC News Codes (UK)
● WAND taxonomies (US)

37. Contact points & further information
Andreas Blumauer, MSc IT
a.blumauer@semantic-web.at
http://at.linkedin.com/in/andreasblumauer/
https://plus.google.com/115842492297705285184/
Semantic Web Company GmbH
Mariahilfer Strasse 70/8, A-1070 Vienna
+43-1-4021235
http://www.semantic-web.at
http://www.poolparty-software.com
http://slideshare.net/semwebcompany
http://youtube.com/semwebcompany