Andreas BlumauerCEO, Semantic Web Company
Helmut NagyCOO, Semantic Web Company
POOLPARTY SEMANTIC SUITE
FUNCTIONAL OVERVIEW
16.0
INTRODUCTION
2Semantic Web
Company
founder & CEO of
Andreas Blumauer
developer and vendor of
2004founded
6.0
current Version
active at
based on
Vienna
located
part ofTaxonomies Knowledge
Graphs
manages
standard for part of
is a
>200serves customers
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’
▸ https://www.semantic-web.com
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INTRODUCING POOLPARTY
PoolParty Semantic Suite▸ First release in 2009▸ Current version 6.0▸ 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 and 2016
▸ https://www.poolparty.biz/
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SELECTED CUSTOMER REFERENCESAND PARTNERS
SWC head-quarters5 Customer References
● Credit Suisse● Boehringer Ingelheim● Roche● adidas● The Pokémon Company● Canadian Broadcasting Corporation● Harvard Business School● Wolters Kluwer● Talend● HealthStream● TC Media● Techtarget● Seek● CafePress● 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
TECHNICAL CORE COMPONENTS
6Bain 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
UnstructuredData
Semi-structured
Data
StructuredData
UnifiedViews
PoolParty GraphSearch
Identify newcandidate conceptsto be included in a controlled vocabulary
Controlled vocabulariesas 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
RDFGraph Database
PoolParty as a supervised learning system
7Content Manager
Integrator
Taxonomist/Ontologist
ThesaurusServer
Extractor
PowerTagging
uses API
is user of
is user of
is basis of
is basis of
Index
annotates
enriches
Corpus Learning/ Semantic Analysis
CMS
extends
is basis of
analyzesuses API
proposesextensions
POOLPARTY 6.0Benefit From
New Functions and Features
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9Semantic Middleware ConfiguratorUse PoolParty as the control center for your linked data management!
Configure and connect to available indexing engines and graph databases.
Set up available linked data sources and visualization tools in one place.
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10Handling of Large Reference Text CorporaAnalyze thousands of documents and extend your knowledge model semi-automatically.
Let machines learn from text and benefit from high-quality taxonomies.
Corpus analysis results in a network of concepts and terms
11 I need support to continuously extend our taxonomy / controlled vocabulary!
skos:Concept
ReferenceCorpus
- Websites- PDF, Word, …- Abstracts from
DBpedia- RSS Feeds
skos:Concept
skos:Concept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
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12Shadow Concept ExtractionBenefit from deep semantic analytics of your content.
PoolParty now even extracts implicit knowledge from your texts.
Make use of corpus learning and statistical language models combined with semantic knowledge graphs.
Use co-occurences between concepts and terms to extract ‘shadow concepts’
13Inca site
Machu Picchu
CuscoInca
empire
Inca emperor
Peru
Spanish Conquest
Sacred Valley
Chankas
Lost City
Pachacuti
Machu Picchu is not mentioned explicitly in the article. But it is mentioned indirectly via its co-occuring terms. By these means, PoolParty can suggest it as a Shadow Concept for annotation.
Example:This site is a 15th-century Inca site located 2,430 metres above sea level. It is located in Cusco, Peru.
It is situated on a mountain ridge above the Sacred Valley through which the Urubamba River flows. Most archaeologists believe that it was built as an estate for the Inca emperor Pachacuti. Often mistakenly referred to as the "Lost City of the Incas", it is the most familiar icon of Inca civilization. The Incas built the estate around 1450, but abandoned it a century later at the time of the Spanish Conquest.
Use co-occurences between concepts and terms to extract ‘shadow concepts’
14 This site is a 15th-century Inca site located 2,430 metres above sea level. It is located in Cusco, Peru.
It is situated on a mountain ridge above the Sacred Valley through which the Urubamba River flows. Most archaeologists believe that it was built as an estate for the Inca emperor Pachacuti. Often mistakenly referred to as the "Lost City of the Incas", it is the most familiar icon of Inca civilization. The Incas built the estate around 1450, but abandoned it a century later at the time of the Spanish Conquest.
Inca site
Machu Picchu
CuscoInca
empire
Inca emperor
Peru
Spanish Conquest
Sacred Valley
Chankas
Lost City
Pachacuti
In addition to explicitly used concepts and terms, Machu Picchu is extracted from the article as a Shadow Concept. As a prerequisite, one has to provide and analyze a representative text corpus first.
Example:
Use a knowledge graph together with co-occurences for precise content recommendation
15 RavingDe-Void
Scott
attack
Stilinski
friend
shame
O’Brien
woman
married
girl
attractive
Sim
ilar e
piso
des!
love
Find similar episodes from TV Series
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16Ontology-driven Search with GraphSearch ServerYour knowledge models as key. Configure semantic search and graph-based analytics dashboards over integrated data sets based on them.
Benefit from Semantic Search combined with data analytics facilities.
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17Wordsense InductionAmbiguity controlled: get help from PoolParty to identify potentially ambiguous terms.
Benefit from higher precision of your text mining and entity extraction service.
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18Additional Linked Data SourcesLink your data to renowned sources like Getty Vocabularies or PermID (Thomson Reuters) and extend your knowledge graph dynamically.
Create seed taxonomies from DBpedia, with added support for Russian and Dutch languages.
Semi-automatic extension of taxonomies from Linked Data
19Enrich your taxonomy with Linked Data
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20Graph VisualizationVisualization in PoolParty is fast, pretty and easy.
Browse your taxonomies and ontologies based on the great visualizations we improved for this release!
CLIMBING THESEMANTIC LADDER
From a most efficient Taxonomy Management towards a Linked Data Platform
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How PoolParty’s ontology and custom schema management plays together with taxonomies
22 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
‘Setting the rules’ for text mining & entity extraction via thesaurus
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Proper use of an funduscope requires a bit of practice and familiarity with the functions of your device.
Diagnostic Equipment
Ophtalmoscope
Support forXML to RDF mapping:
Structured and unstructured elements transformed to RDF
24 <article> <title>How to Use an Ophthalmoscope</title> <metadata> <id>328832</id> <author>Mike Miller</author> <pub_date>March 20, 2016</pub_date> <version>2</version> <status>approved</status> </metadata> <topics>Ophtalmoscopes</topics> <text>
Proper use of an funduscope requires a bit of practice and familiarity with the functions of your device. Regardless of model type, these hand-held devices are critical in the evaluation and diagnosis of a variety of diseases in the eye.
After this examination is complete, follow the retinal arteries and examine the four vascular arcades including the superotemporal, superonasal, inferotemporal, and inferonasal.
</text> <image>http://my.com/img/99.jpg</image></article>
How to Use an Ophthalmoscope
dct:title
Mike Miller
Michael Miller
skos:prefLabel
skos:altLabel
dct:creator
http://my.com/docs/328832
http://my.com/people/32schema:Article
rdf:type
http://my.com/img/99.jpg
schema:image
skos:subject
OphtalmoscopesFunduscopes
Diagnostic Equipment
skos:prefLabel
skos:subject
skos:altLabel
skos:broaderskos:prefLabel
schema:image
Eye Disease
skos:prefLabel
Semantic Content Authoring
FontoXML and PoolParty
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TWO INTEGRATIONSCENARIOS
26DAM/CMS
Option 1:Concepts are derived from taxonomy and tagging is stored together with the asset in the DAM/CMS
http://apple.com/macmini.jpg
http://apple.com/graph/1234PoolParty
API
Option 2:Concepts are derived from taxonomy, and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph.
DAM/CMS
http://apple.com/macmini.jpg
http://apple.com/graph/1234PoolParty
API
http://apple.com/macmini.jpg
http://apple.com/macmini.jpg
http://apple.com/graph/1234
LD Store
Wed 3 May, 2017User4711
DAM/CMS API
PoolParty
PoolParty
Beyond Semantic Search
Link unstructured information to semantic graphs with PoolParty
> Learn more
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PoolParty GraphSearch
RDFGraph Database
Unstructured Information (e.g. SharePoint)
Linked Data Warehouse (Taxonomies and Graphs)
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28RDF based ETLData processing tasks can be modelled as pipelines: Make use of the intuitively usable graphical interface.
Versatile data integration platform: Link data from internal and external data sources in a central NoSQL linked data warehouse.
Custom plugins: Your data processing pipelines are highly customizable by creating your own data processing units (DPUs).
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29Data Analytics based on GraphsMake use of Linked Data sources and Knowledge Graphs to explore unstructured and structured information alltogether.
Knowledge Discovery beyond faceted search becomes true!
GET STARTED
30
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PoolParty Academy
Get certified!
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https://www.poolparty.biz/academy/
Semantic Web Starter Kit
32
CONNECT
Andreas BlumauerCEO, Semantic Web Company
▸ [email protected]▸ https://www.linkedin.com/in/andreasblumauer▸ https://twitter.com/semwebcompany ▸ https://ablvienna.wordpress.com/
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