Webinar: PoolParty for
Sustainable Development:
The Climate Tagger
Welcome!
Martin Kaltenböck
Managing Partner & CFO
Seman...
About Semantic Web Company (SWC)
SWC was founded 2001, head-quartered in Vienna
25 experts in linked data technologies
Pro...
Our Ecosystem: Customers & Partners
Some of our Customers
World Bank Group
Inter-American Development Bank (IADB)
Renewabl...
See how it
works...
‘Things’ but not strings:
Building a ‘semantic knowledge graph’
http://www.mycom.com/
taxonomy/62346723
prefLabel
Venice
i...
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Norway France Austria Canada
doc
Norway France...
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
Europe,
France
Europe,
Austria
...
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
Europe,
France
Europe,
Austria
...
Norway France Austria Canada
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
E....
Norway France Austria Canada
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
Fr...
Norway France Austria Canada
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
Fr...
SKOS as a ‘backbone’ of knowledge graphs
http://www.w3.org/2004/02/skos/
PoolParty core components
Bain Capital is a venture capital
company based in Boston, MA.
Since inception it has invested i...
See how it works:
PoolParty components & workflows
works on
basis for
● reference taxonomies
● linked data sources
● text ...
PoolParty core components
Create and maintain
taxonomies and knowledge
graphs
“URIfication” of all types of things
Linking...
PoolParty - Technical Architecture
Why it is useful...
For whom…
Success story: EIP Water Marketplace
Success story: The World Bank
Success story: GBPN Prediction Tool
Success story: Council of European Union
Success story: Healthdirect Australia
Over 120 information partners and sources
Great variety of category and metadata sys...
Success story: CTCN Matchmaking Assistant
Success story: REEEP Climate Tagger
Five more reasons to get started with
PoolParty. Try it out now!
Get your PoolParty 5
Thesaurus Server &
Entity Extractor ...
Contact points & further information
Martin Kaltenböck, m.kaltenboeck@semantic-web.at
Semantic Web Company GmbH
Mariahilfe...
More Details...
From Simple SKOS to
large knowledge graphs
your data,
e.g. Excel
your
docs
Generate 1st
version of SKOS
taxonomy
Edit,exte...
PoolParty at a glance - Technical Overview
user-friendly: create & maintain vocabularies
standards-based: based on W3C sta...
Benefit arguments
Cost effectiveness The systemic view
Operating
efficiency
Basic
argument
IT-Management /
Software Archit...
PoolParty Semantic Suite - Solutions for Sustainable Development
PoolParty Semantic Suite - Solutions for Sustainable Development
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PoolParty Semantic Suite - Solutions for Sustainable Development

Presentation of the webinar: PoolParty for Sustainable Development - the Climate Tagger - taking place on 5 November 2015. More information and other presentations to be found here: http://bit.ly/1NpTcGT. Recording of the webinar: https://www.youtube.com/watch?v=3GxtFfLL1ps.
Published on: Mar 4, 2016
Published in: Data & Analytics      
Source: www.slideshare.net


Transcripts - PoolParty Semantic Suite - Solutions for Sustainable Development

  • 1. Webinar: PoolParty for Sustainable Development: The Climate Tagger Welcome! Martin Kaltenböck Managing Partner & CFO Semantic Web Company
  • 2. About Semantic Web Company (SWC) SWC was founded 2001, head-quartered in Vienna 25 experts in linked data technologies Product: PoolParty Suite (launched 2009) Serving customers from all over the world EU- & US-based consulting services
  • 3. Our Ecosystem: Customers & Partners Some of our Customers World Bank Group Inter-American Development Bank (IADB) Renewable Energy & EE Partnership (REEEP) Development Initiatives (DI, UK) International Atomic Energy Agency (IAEA) Climate Technology Network (CTCN) C2E2, DTU – UN Partnership Ministry of Finance (A) Council of the E.U. European Commission (several DGs) BMU & GIZ Global Buildings Performance Network (GBPN) European Innovation Partnership on Water Canadian Broadcasting Corporation (CBC) Red Bull Media House Wolters Kluwer BMJ Publishing Group Pearson - Always Learning Education Services Australia Healthdirect Australia Finance / Automotive / Publisher / Health Care / Public Administration / Energy / Education Selected Partners PwC (EU, US) EPAM Systems (DE) iQuest (RU) EBCONT (AT) Gravity Zero (US) MarkLogic (US, EU) OpenLink Software (UK, US) Ontotext (BU) Wolters Kluwer (worldwide) Data to Value (UK) Digirati (UK) Term Management (US) Altotech (FI) Open Knowledge (Foundation) Open Data Institute, The ODI (UK) Fraunhofer IAIS (DE) University of Leipzig (DE) Demokritos (GR) University of Economics (AT) INSIGHT / DERI Galway (IRL) We are all working on the replacement of data chaos by an information network
  • 4. See how it works...
  • 5. ‘Things’ but not strings: Building a ‘semantic knowledge graph’ http://www.mycom.com/ taxonomy/62346723 prefLabel Venice image http://www.mycom.com/ images/90546089 http://www.mycom.com/ taxonomy/97345854 prefLabel St. Mark’s Square altLabel Piazza San Marco http://www.mycom.com /taxonomy/4543567 prefLabel altLabel city square piazza has broader
  • 6. The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Norway France Austria Canada doc Norway France Austria Canada doc Show me all documents about European countries Traditional approach Graph-based approach doc doc doc
  • 7. The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway Europe, France Europe, Austria America, Canada doc Norway France Austria Canada doc Show me all documents about European countries Europe Traditional approach Graph-based approach doc doc doc
  • 8. The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway Europe, France Europe, Austria America, Canada doc Norway France Austria Canada doc Show me all documents about European countries Europe Traditional approach Graph-based approach Show me all documents about EU member countries doc doc doc
  • 9. Norway France Austria Canada The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway E.U, Europe, France E.U, Europe, Austria America, Canada doc doc doc doc doc Show me all documents about European countries Europe Traditional approach Graph-based approach Show me all documents about EU member countries E.U
  • 10. Norway France Austria Canada The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway French, EU, Europe, France EU, Europe, Austria French, America, Canada doc doc doc doc doc Show me all documents about European countries Europe Traditional approach Graph-based approach Show me all documents about EU member countries French- speaking? French- speaking EU
  • 11. Norway France Austria Canada The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway French, EU, Europe, France EU, Europe, Austria French, America, Canada doc doc doc doc doc Show me all documents about European countries Europe Traditional approach Graph-based approach Show me all documents from EU member countries French- speaking? French- speaking EU Metadata per document 1. No or little network effects 2. No reuse of metadata 3. Metadata resides in silos 4. Data quality hard to measure 5. Not machine-readable Knowledge about metadata 1. Explicit knowledge models 2. Reusable and measurable 3. Metadata is machine-processable 4. Standards-based metadata 5. Linkable metadata opens silos
  • 12. SKOS as a ‘backbone’ of knowledge graphs http://www.w3.org/2004/02/skos/
  • 13. PoolParty core components Bain Capital is a venture capital company based in Boston, MA. Since inception it has invested in hundreds of companies including AMC Entertainment, Brookstone, and Burger King. The company was co-founded by Mitt Romney.
  • 14. See how it works: PoolParty components & workflows works on basis for ● reference taxonomies ● linked data sources ● text reference corpora enrich basis for Taxonomist/ Ontologist Developer ● Confluence, WordPress SharePoint, Drupal, ... ● search engine ● database is user ofContent Manager enrich annotate basis for analyzesuses API
  • 15. PoolParty core components Create and maintain taxonomies and knowledge graphs “URIfication” of all types of things Linking and mapping between taxonomies and various graphs Access and integrate knowledge graphs via API (Read/Write) Support of collaborative workflows around taxonomy management RDFization of text Extraction of ‘things’ (entities) from text based on graphs Extraction of (free) terms and phrases from any kind of text Categorization of documents Ultra-fast auto completion based on controlled vocabularies Integrated with highly scalable graph databases Integration layer to improve content and collaboration systems Existing integrations with SharePoint, Drupal, Confluence Provision of user-dialogues to support semi-automatic tagging URI-based Semantic Indexing Faceted search based on taxonomies Content recommender services
  • 16. PoolParty - Technical Architecture
  • 17. Why it is useful... For whom…
  • 18. Success story: EIP Water Marketplace
  • 19. Success story: The World Bank
  • 20. Success story: GBPN Prediction Tool
  • 21. Success story: Council of European Union
  • 22. Success story: Healthdirect Australia Over 120 information partners and sources Great variety of category and metadata systems One central vocabulary hub: Australian Health Thesaurus (AHT) Single point of access incl. harmonized search facets: http://www.healthdirect.gov.au/
  • 23. Success story: CTCN Matchmaking Assistant
  • 24. Success story: REEEP Climate Tagger
  • 25. Five more reasons to get started with PoolParty. Try it out now! Get your PoolParty 5 Thesaurus Server & Entity Extractor trial: http://www.poolparty.biz/test-demo/
  • 26. Contact points & further information Martin Kaltenböck, m.kaltenboeck@semantic-web.at Semantic Web Company GmbH Mariahilfer Strasse 70/8, A-1070 Vienna +43-1-4021235 http://www.semantic-web.at http://www.poolparty.biz http://blog.semantic-web.at Social Media Channels http://slideshare.net/semwebcompany http://youtube.com/semwebcompany https://www.linkedin.com/groups?home=&gid=4059165
  • 27. More Details...
  • 28. From Simple SKOS to large knowledge graphs your data, e.g. Excel your docs Generate 1st version of SKOS taxonomy 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
  • 29. PoolParty at a glance - Technical Overview user-friendly: create & maintain vocabularies standards-based: based on W3C standards graph-based: natively built on graph databases embedded in ecosystem: use of linked (open) data best-of-breed: text mining, taxonomies & ontologies enterprise-ready: secure, simple to install integrable: connectors for SharePoint, Drupal, Confluence, WordPress, … your own CMS?
  • 30. 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

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