Semantic Web Company’s - PoolParty Semantic Suite · Semantic Web Company’s Use Semantics to Drive the Business Value of Your Data POOLPARTY SEMANTIC SUITE Rev. Nr.: 210

Semantic Web Company’s

Use Semantics to Drive the Business Value of Your Data

POOLPARTY SEMANTIC SUITE

Rev. Nr.: 211 / May 7, 2020

Andreas BlumauerCEO and Managing Partner

Semantic Web Company

© Semantic Web Company 2020

PoolParty Semantic Suite

▸ PoolParty is the most complete and most secure semantic middleware on the global market.

▸ PoolParty integrates with leading graph database technologies, EIM-systems, and search engines.

▸ PoolParty was launched in 2009.

At a glance

Semantic Web Company (SWC)

▸ SWC is developer, licensor and vendor of PoolParty Semantic Suite.

▸ Established in 2004, SWC has pioneered the areas of Enterprise Semantics & Semantic AI.

▸ Since 2016, the company revenue grows at an average of 25%.

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https://www.poolparty.biz/

https://semantic-web.com/


Visionary in Gartner’s Magic Quadrant for Metadata Management, 2019

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The market for metadata management solutions continues to demand more innovation and better execution in order to address the needs of automation, and combined cloud and on-premises deployments. Metadata management technology continues to expand in terms of capabilities and support for multiple use cases.

Source: Gartner (October 2019)

The Enterprise metadata management market has been valued at USD 2.72 billion in 2017 and is expected to grow at a CAGR of 22.6% during the forecast period (2018 - 2023) to reach USD 9.34 billion by 2023.

Source: Research And Markets (August 2018)


“Poor data quality is the unintended consequence of data silos and poor data & analytics governance.”

(Gartner, Inc: ‘Think Big, Start Small, Be Prepared — Master Data Management’, Sally Parker and Simon Walker, October 2019)

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“PoolParty is an important piece of our Semantic Infrastructure.”

Head of IT Research & TMCP Digital Lab in the Healthcare Industry

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Software Engineers & Consultants for NLP, Semantics and Machine learning

Introducing Semantic Web Company

Founded in 2004Based in Vienna

Privately held

Developer & Vendor of PoolParty Semantic Suite

Participating in projects with €2.5 million funding for R&D

SWC named to KMWorld’s ‘100 Companies That Matter in Knowledge Management’ in 2016, until 2020 60+ FTE

revenue growth/year

~25% ISO 27001:2013 certified

>10,000 followers

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First release in 2009

Fact sheet: PoolParty Semantic Suite

Most complete and secure Semantic Middleware on the Global Market

Semantic AI: Fusion Graphs, NLP, and Machine Learning

W3C standards compliant Named as Sample Vendor in Gartner’s Hype Cycle for AI 2019

Current version 7.2

On-premises or cloud-based

Over 200

Named as Visionary in Gartner’s Magic Quadrant for Metadata Management Systems 2019

KMWorld listed PoolParty as Trend-Setting Product 2015 - 2020

installations world-wide

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Selected Customer References and Partners

SWC head-quarters

US East

US West

AUS/NZL

UK

Selected Customer References

• Credit Suisse• Boehringer Ingelheim• Roche• adidas• The Pokémon Company• Fluor Corporation• Harvard Business School• Wolters Kluwer• Philips• Nestlé• Electronic Arts• Springer Nature• Pearson - Always Learning• Healthdirect Australia• World Bank Group• Canadian Broadcasting Corporation• Oxford University Press• International Atomic Energy Agency• Dutch Parliament• Singapore Academy of Law• Inter-American Development Bank• Council of the E.U.

Selected Partners

• Enterprise Knowledge• Ontotext• Oracle• data.world• Tellura Semantics• Capco• Taxonomy Strategies• Mekon • Factor• Ordina• BAON Enterprises• Findwise• KM-A• PANTOPIX• Kompetenzzentrum

Records Management (KRM)• Marklogic

We work with Global Fortune Companies, and with some of the largest GOs and NGOs from over 20 countries.

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France


PoolParty is a Leader in a New Computing Era

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Four-layered Information Architecture

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An Enterprise Knowledge Graph (EKG) contains business objects and topics that are closely linked, classified, semantically enriched, and connected to existing data and documents.


Knowledge Graph Life Cycle

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Humans and Machines working together in an agile way

1. The development of knowledge graphs is an endeavour involving several stakeholders

2. Developing knowledge graphs means to proceed iteratively and agilely, not linearly

3. Humans and machines should be equally involved in building an enterprise knowledge graph

4. The knowledge graph is constantly being developed further in three loops that are linked together.

5. The aim is always to balance the three most important perspectives on the knowledge graph: representing domain knowledge, linking company data, and enriching it with user contexts.


Components and Features

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Why PoolParty?

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▸ Future-proof investment & data portabilityFully standards-compliant

▸ Middleware approachEasy integration based on comprehensive API

▸ Shorter learning curveOutstanding user-friendliness & E-learning

▸ Technological leadMachine Learning, NLP and Semantics

▸ Modular architecture & price modelAdapt to growing demands

PoolParty enables enterprise-ready solutions based on cutting-edge technologies.


Solutions based on PoolParty

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Process Automation▸ Enhanced Machine Learning▸ Text Mining & NLP▸ Data Classification▸ Document & Text Validation

Agile Data Integration▸ Semantic Data Fabric▸ Integrating

heterogeneous data ▸ Linked Data

Customer Experience▸ Recommender Systems▸ SEO▸ Smart Helpdesk Solutions▸ Virtual assistants/ Q&A engines

Information Management▸ Semantic Content

Management▸ Metadata Management▸ Masterdata Management

Knowledge Management▸ Graph Analytics▸ Personalization/Skills Mgmt.▸ Knowledge Discovery Portals▸ Semantic Search

Knowledge Engineering▸ Taxonomy Management▸ Ontology Management▸ Knowledge Graph Mgmt.▸ Data Visualization

Data Content Knowledge

Back

-end

Fron

t-en

d


The Semantic Data Fabric

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The Semantic Data Fabric

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Direct cost savings/increased revenues:▸ Increased revenues with higher customer

retention thanks to improved user experience and Customer 360.

▸ Lower costs thanks to more efficient incident management.

▸ Reduce costs by avoiding duplication of work thanks to more efficient data analysis, recommender systems and search tools.

▸ Higher sales through more up- and cross-selling thanks to linked data and intelligent recommender systems.

Indirect cost savings/increased revenues:▸ Improved development processes and shorter

innovation cycles thanks to interlinked data in Research & Innovation.

▸ Reduced project risks thanks to better possibilities for reusing existing information.

▸ Reduced failure rates in production processes and supply chains thanks to higher quality metadata and more unambiguous data.

▸ Lower staff turnover thanks to more efficient digital workplaces and improved opportunities for lifelong learning.

ROI examples

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Benefiting from Linked Data and Semantics

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EXAMPLE APPSLearning from data-driven and content-driven applications


Semantic Search & Matchmaking

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HR Recommender

The HR Recommender is a semantic matchmaking tool based on a knowledge graph. It is designed to connect employees with their coworkers, show them relevant projects, and let them know about interesting career opportunities within their organization.

https://hr-recommender.poolparty.biz/


Entity-centric Search & Analytics

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HR Analytics Dashboard

Multifaceted HR Knowledge DiscoveryMatch employee skills with salaries or technology trends in this HR Demo. With PoolParty GraphSearch you can link internal and external data sources in one user-friendly interface for better analytics, search and recommendation capabilities.

http://marklogic.poolparty.biz/GraphSearch/


Recommender Systems

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Wine and Cheese Harmonizer

Search and Recommender DemoThis demo application showcases in a user-friendly interface the powerful search and recommendation features of PoolParty GraphSeach. Pick a wine or cheese and find a recommendation.

http://vocabulary.semantic-web.at/GraphSearch/




Deep Text Analytics

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Contract Intelligence

Sense ExtractionThis demo application showcases in a user-friendly interface how powerful graph-based text mining based on PoolParty is. Pick a sample contract and see how automatic sense extraction can help analysts to quickly identify relevant text passages.

http://contract-intelligence.poolparty.biz/


Knowledge Hubs & Semantic Search

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Healthdirect

Healthdirect AustraliaHealthdirect Australia is a national public health information service in Australia offering access to free health information and advice.Their knowledge graph organises and connects different pieces of relevant health information for users and inks data from different sources and displays it to the user in a logical way.

https://www.healthdirect.gov.au/



Benefiting from over 15 years of experience

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HOW IT WORKS?Building an infrastructure for data-driven and content-driven applications


‘Things’ but no strings

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Knowledge Graphs represent the meaning of Business Objects


The Expert Loop

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The Knowledge Engineer’s perspective

Taxonomy & Ontology Server

Entity Extractor & Semantic Classifier

Data Integration & Data Linking

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.

UnifiedViews

PoolParty GraphSearch

Identify new candidate concepts to be included in a controlled vocabulary

RDFGraph Database

Factsheet

Schema mapping based on ontologies

Entity linking based on Knowledge Graph

UnstructuredData

Semi-structuredData

StructuredData

Controlled vocabularies as a basis for highly precise knowledge extraction and text classification


Knowledge Modeling

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From Card Sorting to Taxonomy, Corpus and Ontology Management


Learning from Text

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Automatic Annotation and Entity Linking

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Men’s SuperBoots are warm, waterproof slip-on Snow boots. They are perfect for quick trips out to grab the paper or all-day escapades in the snow. They’re built with all-over insulation and rich, durable, waterproof leather, with a seam-sealed construction for bonus protection from the wet and rugged traction to keep you stable on wet, slippery surfaces.

Taxonomy & Ontology Server

Entity Extraction & Text Mining

▸ Graph-based annotation → Entity linking

▸ Machine-learning-based annotation → Named entity recognition

▸ Machine-learning based classification → Document Classification

▸ Annotation based on Regular expressions


The Automation Loop

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The Data Engineer’s and MLOps’ perspective

UnifiedViews

PoolParty GraphSearch

Knowledge Graph

UnstructuredData

Semi-structuredData

StructuredData

▸ Entity linking

▸ Schema mapping

▸ Data transformation

▸ Data validation

▸ Data cleansing

▸ Metadata & Semantic enrichment

Database

Semantic AI Application


Graph Automation with UnifiedViews

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Knowledge Graph Automation and Linked Data Orchestration


Benefiting from over 15 years of experience

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CHANGE MANAGEMENTBuilding an infrastructure for data-driven and content-driven applications


Enterprise Semantics—Maturity Levels

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© Semantic Web Company 2020 34

Embedding in a Change Management Process


Semantic Web Starter Kit

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Benefiting from Linked Data and Semantics

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USE CASESLearning from data-driven and content-driven use cases based on our customer success stories.


Knowledge Graphs in KM Systems

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Personalization, recommender, matchmaking, push services, smart assistants


Knowledge Graphs in E-commerce

Boots Winter

Water proof

Leather

Techlite Multi-Grip

Super warm

Multi-Heat

Comfortable

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Multi-Tech

Neoprene

Rain

My latest Campaigns

Rainy Summer Warm Winter Muddy Spring

Mud

Rules engine

Personalization

Personalization, recommender / Dynamic menus, campaigns / Translating jargon into client’s needs


E-commerce and Supply Chain Management

ChallengeThe company noticed that sales results coming from online retail stores was decreasing. As a result, not only were they losing money but also brand awareness. They were looking for a solution to influence product placement in online retail stores to a greater degree.

SolutionPoolParty Semantic Suite helped them offer a more personalized online experience for their customers with an Enterprise Knowledge Graph. A knowledge graph offers an ideal product structure to retailers that they can quickly implement into their Content Management Systems (CMS) to optimize product placement.

BenefitImplementing a knowledge graph led to higher and faster sales results, which could be achieved mainly because of superior user experience.

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Our customer is one of the world’s largest food and beverage companies with a presence in 180+ countries.


Healthdirect Australia

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Healthcare

ChallengeOver 100 health-related information providers formed a horde of disconnected channels that made it difficult for citizens to find the right answers to health-related questions. To solve this problem, they were looking for a solution to connect all of this data in one reliable platform.

SolutionPoolParty Semantic Suite helped them develop a future-proofing and scaling information architecture built upon an Enterprise Knowledge Graph. PoolParty text mining automatically classifies all crawled information streams providing a consistent metadata layer while translating medical lingo into everyday language and vice versa.

BenefitAs a result, citizens and medical professionals receive advice on the proper action they must take when and where they need it. Reliable answers can now be given based on a large set of highly heterogeneous information source with help from guided assistants. Our client’s online platform is now the most widely used health information site in Australia.

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Our client is a government-owned NPO providing access to trusted healthcare information.


CHALLENGE

• Vast amounts of structured and unstructured data shared and reused among over 50.000 global employees

• Data in disparate knowledge bases, wiki systems and databases.

SOLUTION

→ Development of Linked Data Strategy to help further expanding the knowledge graph to related business units

→ Connection of all knowledge assets in a meaningful way based on a knowledge graph and precise text mining algorithms

BENEFIT

✓ Knowledge sharing tool for all employees to solve the most complex project challenges while optimizing costs, mitigating risks and avoiding incidents.

✓ Significant improvement of knowledge sharing while assuring consistency and quality in the delivery of projects

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CHALLENGE SOLUTION BENEFIT

|Construction & Engineering:| |Our customer is a Fortune 500| |engineering and construction| |company working in over 100| |countries.|


CHALLENGE

• Master data management system based on a relational database and several hundred applications make use of it.

• Very rigid system, complex task to extend it or do changes on the master data, poor usability of the used editors

SOLUTION

→ Existing master data turned into a graph-based data model by ‘normalizing’ the data using a semantic knowledge graph.

→ Usage of PoolParty taxonomy and ontology editors.

BENEFIT

✓ Extended possibilities for data analytics and search

✓ Data managers benefit from editors that provide superior user experience to make master data management more agile

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|Pharmaceutical Industry:| |Our customer is one of the| |top 20 companies in the| |pharmaceutical industry.|


CHALLENGE

• Law professionals use complex relational database with over 3,5 million documents for an expert search portal

• The system has significant data quality issues causing complaints from customers.

SOLUTION

→ Development of various Enterprise Knowledge Graphs to solve over 40,000 data quality issues.

BENEFIT

✓ Enrichment of content with scalable knowledge models to excel in customer satisfaction.

✓ They improved the search functionalities of their legal expert portal and established themselves as one of the most innovative solutions in the legal field.

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|Legal Publishing:| |Our customer is a global provider of| |professional information, software| |solutions and services.|


CHALLENGE

• Increase cross and up selling of the more than 6,000 titles produced per year worldwide by optimizing findability.

SOLUTION

→ Classification of data using human input incurring in human bias.

→ Combining the existing knowledge graph with machine learning algorithms.

BENEFIT

✓ Improved classification results by 10% from a solution to classify data more consistently.

✓ More people are using and engaging with their content, while employees have more time for doing more valuable things.

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|Educational Publishing:| |Our client is a publisher with| |over 110M units sold each year.|


|Entertainment:| |Our customer is a leader in digital| |entertainment with 100s of millions of| |registered players around the world.|

CHALLENGE

• Complex product ecosystem where disconnected data often led to deliver irrelevant or misleading information.

• Millions of dollars for support services.

SOLUTION

→ Development and management of an Enterprise Knowledge Graph.

→ Connection of different types of data in meaningful ways.

BENEFIT

✓ Seamless connection of all data distributed in spreadsheets, SharePoint, Confluence and other systems.

✓ content can automatically and consistently annotated, making it easier to provide the right information to the right user regardless of channels and languages.

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|Banking Industry:| |Our customer is one of largest| |family-owned private banking and| |asset management group in the world.|

CHALLENGE

• Accumulated data siloed off in different data warehouses, making it difficult to understand the value of the data.

SOLUTION

→ Connection of data in a meaningful way.

→ Eliminate of data silos and enhance data quality to address the critical needs of stakeholders such as legal, compliance, accounting, and controlling.

BENEFIT

✓ Company has drastically reduced duplication and ambiguity of data.

✓ Employees trust the data they work with to gain insights and support decision making.

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Product Overview

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PoolParty Advanced Server

PoolPartySearchServer

PoolParty Semantic Integrator

➔ SKOS Taxonomy Management➔ Ontologies and Custom Schemes➔ Quality Management & Reports➔ Advanced Corpus Management➔ Vocabulary Mapping, Linked Data Mapping➔ Linked Data Enrichment, Frontend, and SPARQL endpoint

➔ Scalable semantic search over documents➔ Scalable search over knowledge graphs➔ Search and analytics dashboard➔ Graph Search Server➔ Text mining➔ Knowledge graph management

➔ Agile data integration platform➔ Integration with Graph databases➔ Integration with Search engines➔ Data linking & mapping➔ Data transformation pipelines with UnifiedViews➔ Graph Search Server

All products are available as cloud services or for on-premises installation

PoolPartyEnterprise Server

➔ Entity Linking➔ Named Entity Recognition➔ Autopopulate project from DBpedia➔ Export to Remote Repository➔ Workflow Management➔ SKOS-XL

Agile Data Integration

Knowledge Discovery

Deep Text Analytics

Knowledge Modelling

https://help.poolparty.biz/doc/user-guide-for-knowledge-engineers/advanced-features/autopopulate-your-thesaurus

https://help.poolparty.biz/doc/user-guide-for-knowledge-engineers/basic-features/import-export-and-reporting-with-ppt/poolparty-rdf-import-export/exporting-project-data/export-to-remote-graph-database

https://help.poolparty.biz/doc/user-guide-for-knowledge-engineers/enterprise-features/the-workflow-dashboard


Next steps

PoolParty Academy Video Tutorials The Knowledge Graph Demo Account Cookbook

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

https://www.youtube.com/user/semwebcompany

https://www.poolparty.biz/the-knowledge-graph-cookbook

https://www.poolparty.biz/demo/



The Knowledge Graph Cookbook—Facts and Figures

▸ 1st edition, available from April 2020▸ Available in 3 versions

▹ Free PDF▹ Kindle edition (EUR 9.99 or )▹ Hardcopy (available end of May)

▸ Based on more than 20 years of industry experience

▸ 256 pages (7 chapters + addendum)

▸ 49 infographics▸ 177 bibliographic references

▸ 11 Expert interviews50


https://www.amazon.com/Knowledge-Graph-Cookbook-Andreas-Blumauer-ebook/dp/B08774HNWR/


PoolParty Academy

PoolParty Academy

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Semantic Web Training

methods and technologies in general

PoolParty Knowledge Engineering Training

all functionalities of the PoolParty Semantic Suite

PoolParty Semantic Integration Training

enables developers to work with PoolParty API’s and integrate the semantic middleware with third-party systems.

Sign in and become a certified Expert!

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


The PoolParty Academy

▸ 1st edition, available from April 2020▸ Available in 3 versions

▹ Free PDF▹ Kindle edition (EUR 9.99 or )▹ Hardcopy (available end of May)

▸ Based on more than 20 years of industry experience

▸ 256 pages (7 chapters + addendum)

▸ 49 infographics▸ 177 bibliographic references

▸ 11 Expert interviews52


https://www.amazon.com/Knowledge-Graph-Cookbook-Andreas-Blumauer-ebook/dp/B08774HNWR/


Management Team

Andreas BlumauerCEO & Founder

[email protected]

www.linkedin.com/in/andreasblumauer

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Martin KaltenböckCFO & Founder

[email protected]

www.linkedin.com/in/martinkaltenboeck

Andreas KollerCIO & Founder

[email protected]

www.linkedin.com/in/ankoller/

mailto:[email protected]

https://www.linkedin.com/in/andreasblumauer


https://www.linkedin.com/in/martinkaltenboeck


https://www.linkedin.com/in/ankoller/

Documents

Semantic Web Company’s - PoolParty Semantic Suite · Semantic Web Company’s Use Semantics to Drive the Business Value of Your Data POOLPARTY SEMANTIC SUITE Rev. Nr.: 210