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Webinar: PoolParty for Sustainable
Development: The Climate Tagger
Welcome!
Martin KaltenböckManaging Partner & CFOSemantic Web Company
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
Our Ecosystem: Customers & PartnersSome of our Customers
World Bank GroupInter-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 PartnershipMinistry 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 HouseWolters KluwerBMJ Publishing GroupPearson - Always LearningEducation Services AustraliaHealthdirect Australia
Finance / Automotive / Publisher / Health Care / Public Administration / Energy / EducationSelected 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 thereplacement of data
chaos by an information network
See how it works...
‘Things’ but not strings: Building a ‘semantic knowledge graph’
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The power of knowledge graphs: Agility, flexibility, complexity
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Norway France Austria Canada
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Show me all documents about
European countriesTraditional approach Graph-based
approach
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The power of knowledge graphs:Agility, flexibility, complexity
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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
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
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
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
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 metadata3. Metadata resides in silos4. Data quality hard to
measure5. Not machine-readable
Knowledge about metadata
1. Explicit knowledge models2. Reusable and measurable3. Metadata is machine-
processable4. Standards-based metadata5. Linkable metadata opens silos
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 in hundreds of companies including AMC Entertainment, Brookstone, and Burger King. The company was co-founded by Mitt Romney.
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 ofContentManager
enrich annotate
basis foranalyzesuses API
PoolParty core components
Create and maintaintaxonomies 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
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 systems
One central vocabulary hub:Australian Health Thesaurus (AHT)
Single point of access incl. harmonized search facets:
http://www.healthdirect.gov.au/
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 trial:http://www.poolparty.biz/test-demo/
Contact points & further information
Martin Kaltenböck, [email protected]
Semantic Web Company GmbHMariahilfer Strasse 70/8, A-1070 Vienna+43-1-4021235http://www.semantic-web.athttp://www.poolparty.biz http://blog.semantic-web.at
Social Media Channelshttp://slideshare.net/semwebcompanyhttp://youtube.com/semwebcompany https://www.linkedin.com/groups?home=&gid=4059165
More Details...
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
PoolParty at a glance - Technical Overview
user-friendly: create & maintain vocabulariesstandards-based: based on W3C standardsgraph-based: natively built on graph databasesembedded in ecosystem: use of linked (open)
databest-of-breed: text mining, taxonomies &
ontologiesenterprise-ready: secure, simple to installintegrable: connectors for SharePoint, Drupal,
Confluence, WordPress, … your own CMS?
Benefit argumentsCost 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 informati
on 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
