SlideShare a Scribd company logo
Enterprise 
Linked Data 
Open or 
closed? 
Andreas Blumauer 
CEO 
Semantic Web Company 
SMWCon Fall 2014 
October 1-3 in 
Vienna, Austria
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
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
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?
What is Linked Data? 
An enterprise 
perspective
Graphs everywhere... 
Microsoft 
Facebook 
Google
Things are the key elements of graphs 
which open the doors to ‘smart data’ 
It’s all about 
things, 
not strings!
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
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
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
Linked data standards → Network effects
How do we benefit 
from it? 
What are the use cases 
for linked data?
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
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/
Will it replace our 
existing systems? 
An architectural 
question
Things are everywhere! 
A four-layered information architecture 
enterprise 
knowledge model 
domain specific 
knowledge model 
annotation & 
categorization 
legacy data 
& documents
It won’t replace existing systems, but it 
will change the way apps are developed
Make conceptual model & the semantics 
of your data explicitly available
PoolParty Semantic Integrator: 
Unified Views on various data sources 
based on
Can we reuse 
existing metadata? 
Glossaries, schemes & 
vocabularies
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?
From CSV and Excel to Taxonomies
From Folksonomies to Taxonomies 
Free terms (candidate terms) are extracted from document collections 
… and asserted into the 
controlled vocabulary.
From Taxonomies to Ontologies: 
Start with SKOS...
… and apply ontologies
Linkability: Modularize knowledge graphs 
like you do with software!
SKOS is a ‘semantic interface’ to retrieve 
and link distributed content 
WKD German labor law thesaurus Eurovoc 
STW 
Thesaurus 
DBpedia
How can we 
integrate linked data 
into our systems?
Use PoolParty PowerTagging to integrate 
with Enterprise Content Systems 
SharePoint 
Drupal 
Confluence
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
Where should we 
start? 
Start SKOS, 
grow big!
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
SKOS makes taxonomies/thesauri 
accessible, linkable & reusable 
http://www.w3.org/2004/02/skos/
SKOS as a basis to visualize and browse 
semantic knowledge graphs
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
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)
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

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Enterprise linked data - open or closed, Andreas Blumauer, Keynote SMWCon 2014

  • 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
  • 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