Learn more about Semantic Web Company and the product. Find typical usage scenarios: Semantic search, concept tagging, topic pages, matchmaking, etc.
Success stories from various industry like pharma, health care, government, or retailing are presented.
2. INTRODUCING
SEMANTIC WEB
COMPANY
(SWC) AND
POOLPARTY
Basic facts about the Company
▸ Founded in 2004
▸ Based in Vienna
▸ Privately held
▸ 30 employees, mainly experts
in text mining & linked data
▸ SWC participates in EU-
projects with a total funding
of over € 17.0 million
▸ SWC staff members are
invited experts of W3C
▸ Member of Steering Board of
the European Data Forum
About PoolParty Software
Suite
▸ First release in 2009
▸ Current version 5.2
▸ Over 100 installations world-
wide
▸ 50% of SWC’s revenue is
reinvested into development
of PoolParty
▸ PoolParty can be installed on-
premises or used as cloud
service
▸ KM World listed PoolParty as
Trend-Setting Product 2015
2
3. SELECTED
CUSTOMER
REFERENCES
AND PARTNERS
SWC
head-
quarters
3
Customer References
● Credit Suisse
● Boehringer Ingelheim
● Roche
● adidas
● The Pokémon Company
● Canadian Broadcasting Corporation
● Red Bull Media House
● Wolters Kluwer
● HealthStream
● TC Media
● Techtarget
● BMJ Publishing Group
● CafePress
● Pearson - Always Learning
● Education Services Australia
● American Physical Society
● Healthdirect Australia
● World Bank Group
● Inter-American Development Bank
● Renewable Energy Partnership
● Wood MacKenzie
● Development Initiatives
● International Atomic Energy Agency
● Norwegian Directorate of Immigration
● Ministry of Finance (AT)
● Council of the E.U.
● Australian National Data Service
● Iberley
Partners
● PwC
● EPAM Systems
● Digirati
● EBCONT
● Gravity Zero
● MarkLogic
● OpenLink Software
● Wolters Kluwer
● Data to Value
● iQuest
5. Technical Core
Components
5
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 Extraction &
Text Mining
9. SEMANTIC
SEARCH
Beyond simple search over documents: Faceted search, Smart
search assistants and search over unstructured and structured
content in combination.
9
10. TOPIC PAGES
Dynamic Semantic Publishing: Create landing pages on-the-fly
from different content sources and information streams.
10
18. Selected
Success
Stories
▸ Climate Tagger
Streamline and catalogue data and information resources
▸ CTCN Matchmaking Assistant
Accurate matchmaking between ‘problem statements’ and capabilities of
solution providers
▸ healthdirect Australia
Semantic Search based on the Australian Health Thesaurus
▸ Wolters Kluwer
Vocabularies as a backbone for enterprise linked data & visualization
▸ Boehringer Ingelheim
Vocabularies as means for data integration
▸ adidas
Personalization based on controlled vocabularies
18
19. Place your screenshot here
19Climate
Tagger
Help organizations in the
climate and development
arenas catalogue, categorize,
contextualize, and connect
data and information
resources.
Climate Tagger is backed by
the expansive Climate
Compatible Development
Thesaurus.
http://www.climatetagger.net
20. Place your screenshot here
20CTCN
Matchmaking
Controlled vocabularies
enable accurate
matchmaking between
‘problem statements’ and
capabilities of solution
providers.
Matchmaking is based upon
the Climate Compatible
Development Thesaurus.
Reference
21. Place your screenshot here
21healthdirect
Australia
Integrated views and
semantic search over more
than 100 trusted sources.
Harmonization of various
metadata systems through
the use of a central
vocabulary hub:
Australian Health Thesaurus.
http://www.healthdirect.gov.au
22. 22Wolters
Kluwer
Usage of controlled
vocabularies as part of the
semantic search architecture.
Provision of Topics Browser
to navigate topics, relations
and related documents.
Reference
http://vocabulary.
wolterskluwer.de
23. Place your screenshot here
23Boehringer
Ingelheim
Data integration based on
controlled vocabularies:
Linking of structured and
unstructured data.
Semantic search and data
analytics based on RDF
graphs and SPARQL.
Reference
24. Place your screenshot here
24adidas
Controlled vocabularies
enable personalization,
searchability of localized
content, data governance
and standardization.
Personalizing user
experiences with brands and
products is a data driven
task.
Reference
25. Conclusion:
Why
taxonomies
and controlled
vocabularies
matter
It’s all about improved user experience, no matter
how complex information procurement is:25
I am a doctor. I need a 360-degree
view on my patient. I don’t have the
time to search around.
I am a web shopper.
I want to have nice buying experiences
when using an online shop.