PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform
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Transcript of PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform
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Five more reasons to lean on a world-class semantic platform
5
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About this webinar
The power of knowledge graphs
Better Together: Unstructured and Structured Data
1
3
2PoolParty Platform: Overview
4 PoolParty 5: What’s new?
What’s next?The Linked Data Path5
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About
Semantic Web Company founded in 2001
25 experts in linked data technologies
PoolParty Platform launched in 2009
Serving customers from all over the world
EU- & US-based consulting services
Andreas Blumauer, MScITCEO of Semantic Web Company
Find me/us on:
https://www.linkedin.com/in/andreasblumauer
https://ablvienna.wordpress.com/
http://www.slideshare.net/semwebcompany
https://twitter.com/semwebcompany
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Our network: Customers & Partners
Some of our Customers
● Credit Suisse● Boehringer Ingelheim● Roche● Wolters Kluwer● BMJ Publishing Group● Canadian Broadcasting Corporation (CBC)● World Bank Group● Inter-American Development Bank (IADB)● International Atomic Energy Agency (IAEA)● 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● Norwegian Directorate of Immigration● REEEP● Techtarget
Finance / Automotive / Publisher / Health Care / Public Administration / Energy / Education
Selected Partners
● EBCONT● EPAM Systems● iQuest● PwC● Tenforce● OpenLink Software● Ontotext● MarkLogic● Gravity Zero● Altotech● Wolters Kluwer● Taxonomy Strategies● Digirati
We all have one goal in mind: Make machines smart enough so that they can help us to find those needles in the haystack, which are really relevant to us.
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The power ofknowledge graphs.
1
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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 countriesTraditional approach Graph-based approach
doc doc doc
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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
doc doc doc
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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
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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 about
European countries
Europe
Traditional approach Graph-based approach
Show me all documents about EU
member countries
EU
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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
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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 document1. No or little network effects2. No reuse of metadata3. Metadata resides in silos4. Data quality hard to measure5. Not machine-readable
Knowledge about metadata1. Explicit knowledge models2. Reusable and measurable3. Metadata is machine-processable4. Standards-based metadata5. Linkable metadata opens silos
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Information integration: 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/
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Semantic as a Service
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2
PoolParty Platform: Overview
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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.
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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
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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
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Better Together: Unstructured and Structured Data.3
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Towards a Linked Data based search
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Bringing structure to text: PoolParty GraphSearch
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PoolParty Enterprise Server + GraphSearch System Architecture
Classified documents +
Taxonomy
● Structured autocomplete● Precise Search facets● Dynamic topic pages● Fully RDF compatible● All queries via SPARQL
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Complex Queries based on Linked Data
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.
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Organizing data in graphs and using links
Graph nervous_system_diseases-abstracts
Graph en.dbpedia.org
Graph www.nlm.nih.gov/mesh
Graph www.geonames.org
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PoolParty Semantic IntegratorSystem Architecture
Classified documents + Linked taxonomies +Knowledge graphs
● Dynamic filter criterias● BI-like interface● Large scale RDF store● Fully RDF compatible● All queries via SPARQL
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What’s new?
4
5
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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/
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Highly precise entity extraction
Domain-specific extraction, highly performant, language-agnostic, disambiguation rules, REST API
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Why Disambiguation is important?Example
Brian Johnson (born 5 October 1947) is an English singer and songwriter. Since 1980, he has been the lead singer of Australian rock band AC/DC, with whom he was inducted into the Rock and Roll Hall of Fame in 2003.
Brian Johnson (born December 7, 1990) is an American professional baseball pitcher in the Boston Red Sox organization. Johnson was part of the No. 1 recruiting class by Baseball America at the University of Florida
Brian Johnson?
Brian Johnson
Brian Johnson
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Brian Johnson in the news● http://www.pressherald.com/2015/02/08/on-baseball-low-flying-johnson-on-red-sox-radar/● http://bosoxinjection.com/2015/01/24/red-sox-prospect-brian-johnson-undervalued-asset/
● http://www.blocku.com/2015/2/8/8002765/early-look-at-utah-footballs-2016-recruiting-class● http://www.ksl.com/?nid=635&sid=33335577
● http://www.nydailynews.com/entertainment/music/ac-dc-singer-teleprompter-grammys-opening-article-1.2107723● http://ultimateclassicrock.com/acdc-bon-scott-final-show/
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Providing context in the knowledge graph
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Activating disambiguation
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Deep integration with SharePoint, Drupal & Confluence
Semi-automatic tagging, semantic search integration, content recommendation - all based on your own enterprise vocabularies!
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Semantic Search integrated with Confluence
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PoolParty Integration with Confluence Blueprints
⇒ Solution for Semantic Records Management
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Fully integrated web crawler
Make use of text corpus analysis: Retrieve documents from various sources, like RSS or from websites
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Web Crawler extracts candidate terms from any website
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Refined look & feel
Refined look & feel improves user experience and usability. Enjoy working with PoolParty!
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Full-blown ontology management & semantic reasoning
From SKOS taxonomies to full-blown ontologies: PoolParty supports various levels of knowledge modeling
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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
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What’s next - the “Linked Data Path”
1Build capacities for internalknowledge about linked data
4 DevelopKnowledge Models
2Identify & understand strategic dimension of linked data
3Define crisp & feasible use cases
5 Put aspect of 'reusability of information' in the Centre
7 Implementation of the use cases with focus on learning curve of knowledge carrier
6Focus on central use case: integrated views on business objects
8Communicate the strategic
dimension of linked data