1. Overview & Applications Welcome!
Your consultants
Welcome!
Andreas
Helmut
Florian

2. Overview

3. PoolParty Suite

4. Text mining und Entity Extraction

5. Powertagging

6. PoolParty PowerTagging

7. Semantic Search

8. Automatic Tagging/ Tag recommendation
Benefits
Reduced effort at content creation time
Consistent and more comprehensive tagging
Application(s):
Semantic Content Management
Enterprise Metadata Management
Technologies:
PoolParty PowerTagging
Integrable into any CMS

9. Semantic Records Management
Benefits
Reduced effort at content creation time
Consistent and more comprehensive tagging
Improved Search
Application(s):
Semantic Records Management
e.g. Market Observation
Technologies:
PoolParty Enterprise Server
Integrable into any CMS

10. Content recommender/ Content enrichment
Benefits
Reduced effort at content creation time
Users gain better overview and understand context
Application(s):
Internal Knowledge Management
Media Aggregation
Technologies:
PoolParty Search

11. Content Aggregation Benefits
Users gain better overview and reduce search times
Harmonisation of heterogenouos metadata
Application(s):
Vertical search engines
Media & News Aggregation
Technologies:
PoolParty Search
PoolParty Semantic Integrator

12. Content Tagging Dialog

13. Semantic Integrator

14. Analytics and Visualization: PoolParty Graph Search Server

15. PoolParty Semantic Integrator: Unified Views on various data sources

16. PoolParty Semantic Integrator System Architecture
Dynamic filter criterias
BI-like interface
Large scale RDF store
Fully RDF compatible
All queries via SPARQL
saddsds
adsaddsds
dsaddsds
saddsds
saddsds
dsaddsds
saddsds
adsaddsds
dsaddsds
saddsds
saddsds
dsaddsds
Classified documents + Linked taxonomies +
Knowledge graphs

17. Organizing data in graphs and using links
Graph nervous_system_diseases-abstracts
Graph
Graph en.dbpedia.org
Graph

18. Bringing structure to text: PoolParty GraphSearch

19. Knowledge Bases Benefits
Combining structured and unstructured data sources
Use of specific and complex search queries
Application(s):
Knowledge bases
Research & Analysis
Market intelligence
Technologies:
PoolParty Semantic Integrator
UnifiedViews

20. Complex Queries based on Linked Data
I want to explore medical research trends in relation to regional prosperity.
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 < ?hdi .
FILTER ( ?hdi < 0.6)
OPTIONAL
?person foaf:depiction ?picture . }
} ORDER BY DESC(?hdi)

21. Contact points & further information
Andreas Blumauer, MSc IT
Semantic Web Company GmbH Mariahilfer Strasse 70/8, A-1070 Vienna
Social Media Channels

22. 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.

23. Details

24. Towards a Linked Data based search

25. 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)

26. Use PoolParty PowerTagging to integrate with Enterprise Content Systems
Drupal
Confluence
SharePoint 2013

27. 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.

28. PoolParty - Technical Architecture

29. PoolParty Enterprise Server + GraphSearch System Architecture
sdsddssdsd asdsdsadsaddsds
sdsddssdsd asdsdsadsaddsds
sdsddssdsd asdsdsadsaddsds
sdsddssdsd asdsdsadsaddsds
Structured autocomplete
Precise Search facets
Dynamic topic pages
Fully RDF compatible
All queries via SPARQL
sdsddssdsd asdsdsadsaddsds
sdsddssdsd asdsdsadsaddsds
Classified documents + Taxonomy

30. Management Dashboards
Benefits
Deep insights from large text collections
Support for complex search queries & reporting tasks
Application(s):
Market & competitive intelligence
Text Analysis
Technologies:
PoolParty Semantic Integrator