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!

31

https://www.poolparty.biz/academy/

Semantic Web Starter Kit

32

CONNECT

Andreas BlumauerCEO, Semantic Web Company

▸ andreas.blumauer@semantic-web.com▸ https://www.linkedin.com/in/andreasblumauer▸ https://twitter.com/semwebcompany ▸ https://ablvienna.wordpress.com/

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