See how Cognitive Search works when based on Semantic Knowledge Graphs. We showcase the latest developments and new features of PoolParty GraphSearch: - Navigate a semantic knowledge graph - Ontology-based data access (OBDA) - Search over various search spaces: Ontology-driven facets including hierarchies - Sophisticated autocomplete including context information - Custom views on entity-centric and document-centric search results - Linked data: put various tagging services such as TRIT or PoolParty Extractor in series and benefit from comprehensive semantic enrichment - Statistical charts to explain results from unified data repositories quickly - Plug-in system for various recommendation and matchmaking algorithms

1. Andreas Blumauer
CEO & Managing Partner
Robert David
CTO
Semantic Web Company /
PoolParty Semantic Suite
Webinar - November 2017
PoolParty GraphSearch
The Fusion of Search,
Recommendation and
Analytics

2. Agenda
▸ Introduction
▸ Why PoolParty GraphSearch?
▸ How does it work?
▸ Example use cases
▹ Multiple Automatic Classification, Search & Analytics of Unstructured Content
▹ Knowledge Discovery
▹ GraphSearch over Integrated Data
▸ How to configure GraphSearch?
▸ Outlook and next steps
2

3. INTRODUCING
SEMANTIC WEB
COMPANY
Semantic Web Company (SWC)
▸ Founded in 2004
▸ Based in Vienna
▸ Privately held
▸ 40+ employees, experts in text
mining & linked data
▸ ~15-20% revenue growth
per year
▸ 2.5 Mio Euro funding for R&D
▸ SWC named to KMWorld’s
2016 and 2017 ‘100
Companies That Matter in
Knowledge Management’
▸ www.semantic-web.com
3

4. INTRODUCING
POOLPARTY
PoolParty Semantic Suite
▸ First release in 2009
▸ Current version 6.1
▸ W3C standards compliant
▸ Over 200 installations
world-wide
▸ 50% of revenue is reinvested
into PoolParty development
▸ PoolParty on-premises or
used as a cloud service
▸ KMWorld listed PoolParty as
Trend-Setting Product 2015,
2016 and 2017
▸ www.poolparty.biz
4

5. SELECTED
CUSTOMER
REFERENCES
AND PARTNERS
SWC head-
quarters
5
Customer References
● Credit Suisse
● Boehringer Ingelheim
● Roche
● adidas
● The Pokémon Company
● Canadian Broadcasting Corporation
● Harvard Business School
● Wolters Kluwer
● Talend
● HealthStream
● Electronic Arts
● Techtarget
● Seek
● Viacom
● Pearson - Always Learning
● Education Services Australia
● American Physical Society
● Healthdirect Australia
● World Bank Group
● Inter-American Development Bank
● Renewable Energy Partnership
● Wood MacKenzie
● Oxford University Press
● International Atomic Energy Agency
● Norwegian Directorate of Immigration
● Ministry of Finance (AT)
● Council of the E.U.
● Australian National Data Service
Partners
● Accenture
● EPAM Systems
● Enterprise Knowledge
● Mekon Intelligent Content Solutions
● B-S-S Business Software Solutions
● MarkLogic
● Wolters Kluwer
● Digirati
● Quark
US
East
US
West
AUS/
NZL
UK

6. MAKE USE OF
POOLPARTY
SEMANTIC
SUITE
OVERVIEW
6

7. TECHNICAL
CORE
COMPONENTS
7
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.
Taxonomy &
Ontology Server
Entity Extractor &
Text Mining
Data Integration &
Data Linking
Unstructured
Data
Semi-
structured
Data
Structured
Data
Unified
Views
PoolParty
GraphSearch
Identify new
candidate concepts
to be included in a
controlled vocabulary
Controlled vocabularies
as a basis for highly
precise entity
extraction
Entity Extractor informs
all incoming data
streams about its
semantics and links them
Schema mapping
based on ontologies
RDF
Graph Database

8. WHY
GRAPHSEARCH?
Benefiting from an
Entity-centric Search
8

9. Advantages of
GraphSearch
9
▸ Search & analytics applications
can be built in a most agile way
▸ From document-centric to
entity-centric search
▸ Gain insights through configurable
statistical charts
▸ From document retrieval to
knowledge discovery → create unified and personalised views over unstructured
and structured information
▸ Plugin-system for various recommender systems, based on graph-similarity,
rules, or classification systems
▸ Ontology-driven data access: (hierarchical) facets, search results, and details
views are controlled via taxonomies and ontologies

10. HOW DOES
GRAPHSEARCH WORK?
PoolParty GraphSearch
at a glance
10

11. Basic
Architecture of
GraphSearch
11

12. Advanced
Architecture of
GraphSearch
(incl.
UnifiedViews)
12

13. EXAMPLES &
USE CASES
See how
GraphSearch works
13

14. Example 1
Multiple Automatic
Classification,
Search & Analytics
of Unstructured
Content
14
Thomson Reuters
Intelligent Tagging
PoolParty
PowerTagging
PoolParty
Thesaurus Server
Thomson Reuters
Knowledge Graph
RDF
Graph
Database
PoolParty
GraphSearch API

15. 15Example 1
Multiple Automatic
Classification,
Search & Analytics
of Unstructured
Content
ETL - Orchestration, Scheduling, Monitoring executed by PoolParty UnifiedViews

16. 16Example 1
Multiple Automatic
Classification,
Search & Analytics
of News Articles

17. Example 2
Knowledge
Discovery -
The Wine & Cheese
Harmonizer
17 Dry
Medium-bodied
High acidity
Weingut
Weinrieder
Grüner
Veltliner
Alte Reben
is characterized by
Nutmeg
Full-bodied
Warm finish
Tobacco
is characterized by
Nagelkaas
Cumin
Clove
Hard cheese
Higher fat
?
is characterized by
matches
matches
does not match

18. Example 2
Knowledge
Discovery -
The Wine & Cheese
Harmonizer
18

19. Example 3
GraphSearch over
Integrated Data
(incl. SharePoint)
19

20. Place your screenshot here
20Boehringer
Ingelheim
Integrated views on research
activities and its impact:
Data integration based on
controlled vocabularies,
linking of structured and
unstructured data.
GraphSearch based on RDF
graphs and SPARQL.
Reference

21. TECHNICAL
DEEP DIVE
How to configure
PoolParty GraphSearch
21

22. Admin
Dashboard
22
Configure search space, facet and
document model, number of
results, display format.
Configure RDF mappings.Configure charts.

23. GraphSearch
API
23 ▸ Upload & tag documents
▸ RSS feeds
▸ URL content retrieval
▸ Faceted search
▸ Search result export
▸ Similarity + Recommendations

24. OUTLOOK &
NEXT STEPS
How to get up to speed with
PoolParty GraphSearch
24

25. GET STARTED
& NEXT STEPS
25 Get your test account for PoolParty Taxonomy & Ontology Server
▸ www.poolparty.biz/demo/
Try PoolParty GraphSearch at our Online Demo Server
▸ vocabulary.semantic-web.at/GraphSearch/
Download White Paper: The Next Generation of Knowledge Discovery
▸ help.poolparty.biz/doc/files/...
Find all the information about GraphSearch at one place
▸ www.poolparty.biz/poolparty-semantic-graph-search-server/
Learn more about Thomson Reuters Intelligent Tagging (TRIT)
▸ financial.thomsonreuters.com/en/products/infrastructure...

26. PoolParty
Academy
Get certified!
26
https://www.poolparty.biz/academy/

27. Semantic Web
Starter Kit
27
https://www.poolparty.biz/semantic-web-starter-kit/

28. CONNECT
Andreas Blumauer
CEO, Semantic Web Company
▸ andreas.blumauer@semantic-web.com
▸ https://www.linkedin.com/in/andreasblumauer
▸ https://twitter.com/semwebcompany
▸ https://ablvienna.wordpress.com/
28
© Semantic Web Company - http://www.semantic-web.com and http://www.poolparty.biz/

29. CONNECT
Robert David
CTO, Semantic Web Company
▸ robert.david@semantic-web.com
▸ https://at.linkedin.com/in/robertdavid
▸ https://twitter.com/semwebcompany
▸ https://blog.semantic-web.at/
29
© Semantic Web Company - http://www.semantic-web.com and http://www.poolparty.biz/