Your consultants
Overview &
Applications
Andreas
Welcome!
Helmut Florian
About Semantic Web Company (SWC)
SWC was founded 2001 in Vienna, Austria
Over 20 experts in linked data technologies
Product: PoolParty Suite (launched 2009)
Serving customers from all over the world
EU- & US-based consulting services
Our network: Customers & Partners
Customers
● Credit Suisse
● Daimler
● Roche
● Wolters Kluwer
● Tieto
● Canadian Broadcasting Corporation (CBC)
● 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
● Bank of America
Finance / Automotive / Publisher / Health Care / Public Administration / Energy / EducationPartners
● Cognizant
● EBCONT
● EPAM Systems
● iQuest
● PwC
● DTI AG
● Tenforce
● OpenLink Software
● Ontotext
● MarkLogic
● Gravity Zero
● Altotech
● Wolters Kluwer
● Term Management
● Taxonomy Strategies
● Search explained
● WAND
● Digirati
● Cognistreamer
● Linked Data Factory
● Taxonic
● semweb
See how it
works...
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 knowledge graphs via API
(Read/Write)
Support of collaborative workflows
around taxonomy management
Extraction of ‘things’ (entities) from
any kind of text based on
knowledge graphs
Extraction of (free) terms from any
kind of text
Categorization of text
Ultra-fast auto completion based
on knowledge graphs
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
Semantic indexing based on URIs,
faceted search based on
taxonomies
Content recommender services
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 foranalyzes
uses API
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
‘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
altLabelPiazza
San Marco
http://www.mycom.com/t
axonomy/4543567
prefLabel
altLabel
city squarepiazza
has broader
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
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 from
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
EU,
Europe,
France
EU,
Europe,
Austria
America,
Canada
doc doc doc doc doc
Show me all
documents from
European countries
Europe
Traditional approach Graph-based approach
Show me all documents
about EU member
countries
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 from
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 from
European countries
Europe
Traditional approach Graph-based approach
Show me all
documents from EU
member countries
French-
speaking?
French-
speaking
EU
Metadata
per
document
Knowledge
about
metadata
Use Schema.org or other ontologies to
extend your knowledge graph
http://schema.org/City
http://schema.org/TouristAttraction
http://schema.org/ArtGallery
http://www.mycom.com/
taxonomy/62346723
Venice
prefLabel
prefLabel St. Mark’s
Square
http://schema.org/containedIn
http://schema.org/location
Peggy
Guggenheim
Museum
http://www.geonames.org/7302945
http://www.freebase.com/m/0q9rr
http://dbpedia.org/resource/
Peggy_Guggenheim_Collection
https://www.youtube.com/
VeniceGuggenheim
http://www.mycom.com/
taxonomy/5456544
http://www.mycom.com/
taxonomy/7835488
Why it is
useful...
Make use of text corpus analysis
Linking and mapping of vocabularies
and knowledge graphs
including
semi-automatic
batch-linking
of taxonomies
with other taxonomies
or several
knowledge graphs
Use PoolParty PowerTagging to integrate
with Enterprise Content Systems
Confluence
Drupal
SharePoint 2013
Semantic Search in SharePoint 2013 based
on PoolParty PowerTagging
Based on the search enrichment the following features are available:
• Autocomplete• Additional search navigators
based on thesaurus structure• Query expansion
All features can be configured (e.g. number of results for autocomplete)in the search web part configuration.
sOnr webMining for Confluence
sOnr webMining for Drupal
Online-Demos:
http://www.semantic-web.at/marketscan
http://drupal.poolparty.biz/
PoolParty Applications & Demos
Thesaurus Publishing Business Intelligence Content Recommendation Semantic Expert Finder
Web Mining Semantic Search Semantic Tagging in
SharePoint
Symptom Checker
Get started! Try it out now.
Get your PoolParty
Thesaurus Server &
Entity Extractor trial:
http://www.poolparty.biz/test-demo/
Contact points & further informationAndreas Blumauer, MSc IT
https://www.linkedin.com/in/andreasblumauer
Semantic Web Company GmbH
Mariahilfer Strasse 70/8, A-1070 Vienna
+43-1-4021235
http://www.semantic-web.at
http://www.poolparty-software.com
Social Media Channels
http://slideshare.net/semwebcompany
http://youtube.com/semwebcompany
https://www.linkedin.com/groups?home=&gid=4059165
More Details...
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?
PoolParty Semantic Integrator:
Unified Views on various data sources
based on
SKOS as a ‘backbone’ of knowledge graphs
http://www.w3.org/2004/02/skos/
Benefit arguments
Cost effectiveness The systemic viewOperating
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
PoolParty Thesaurus Server
from a taxonomist’s perspective
● Comfortable browser-based
user interface
o drag & drop
o autocomplete
● Rich import/export features
● Built-in corpus management
● Quality management
● Full-blown audit trails & workflow
management
● From simple taxonomies over
thesauri to ontologies
● Linking of taxonomies
● Linked Data interfaces
● Visual Browser
From simple taxonomies (SKOS) to
ontologies: custom schema management
PowerTagging for SharePoint
Technical outline
The PowerTagging integration adds the following features:
• Automatic and manual tagging of SharePoint list items and uploaded documents
• Enrichment of the SharePoint search index based on the tagged content. The search index can be enriched by:
• labels of tagged concepts• relations of tagged concepts and
their labels (top concepts, broader concepts, related concepts)
PoolParty Search Server
Create business dashboards on the fly
SELECT DISTINCT ?personname ?picture ?countryname ?hdi ?picture
WHERE
{
?person skos:prefLabel ?personname .
?country skos:prefLabel ?countryname .
?person a dbpedia:Person .
?country a dbpedia:Country .
?person skos:related ?country .
?country <http://dbpedia.org/property/hdi> ?hdi .
FILTER ( ?hdi < 0.6)
OPTIONAL
{
?person foaf:depiction ?picture .
}
} ORDER BY DESC(?hdi)
I want to explore medical
research trends in relation to
regional prosperity.
PoolParty Visual Mapping
PoolParty API
● navigate a thesaurus (API documentation)
o retrieve schemes of a project
o show top concepts of a scheme
o describe a concept, get all the labels & relations
● search for concepts / autocomplete
o show concepts containing a string
● suggest new concepts
o integrate with a 3rd party content management system
PoolParty API
Text Analytics via REST call or file upload ● API documentation
● Test form
● extract concepts
● categorize text
http://mercury.poolparty.biz/extractor/api/extract?projectId=1DBC62B
E-DB43-0001-279F-15301B94F230&language=en&numberOfTerms=0&text=...
http://mercury.poolparty.biz/extractor/api/categorization?projectId=
1DBC62BE-DB43-0001-279F-
15301B94F230&language=en&numberOfTerms=0&text=...