“communicating the business - poolparty semantic suite · 2019-10-01 · “communicating the...
TRANSCRIPT
“Communicating the business context of data is foundational to unlocking its true value by applying the semantic spectrum, from glossaries to ontologies.”
See: Five Ways to Use Metadata Management to Deliver Business Value for Data
“Data and analytics leaders must adopt a semantic approach to their enterprise data assets or face losing the battle for competitive advantage.”
See: How to Use Semantics to Drive the Business Value of Your Data
“The rising role of content and context for delivering insights with AI technologies, as well as recent knowledge graph offerings for AI applications have pulled knowledge graphs to the surface.”
See: Hype Cycle for Artificial Intelligence, 2018
▸ PoolParty is the most complete and most secure semantic middleware on the global market.
▸ PoolParty integrates with leading graph database technologies, NoSQL stores, and search engines.
▸ PoolParty was launched in 2009.
▸ 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 35%.
$ 445,000,000$ 2,409,100,000
$ 120,000,000
Founded 2004Based
R&D50+ FTE
~35%
2009
7.0
200
SWC head-quarters
US East
US West
AUS/NZL
UK
Selected Customer References
● Credit Suisse● Boehringer Ingelheim● Roche● adidas● The Pokémon Company● Fluor● 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● Siemens● Singapore Academy of Law● Inter-American Development Bank● Council of the E.U.● AT&T● LGT Group
Selected Partners
● Enterprise Knowledge● Mekon Intelligent Content
Solutions● Soitron● Ordina● Accenture● Stardog● BAON Enterprises● Findwise● Tellura Semantics● HPC ● Minerva Intelligence● Marklogic● Make it a Triple
We work with Global Fortune Companies, and with some of the largest GOs and NGOs from over 20 countries.
▸ Loosely connected data
▸ Too simplistic, disconnected data models
▸ Data models don’t keep pace with market dynamics
▸ Too abstract data models
▸ Enhanced Machine Learning▸ Text Mining & NLP▸ Document Classification▸ Document & Text Validation
▸ Semantic Content Management
▸ Metadata Management▸ Masterdata Management
▸ Recommender Systems▸ SEO▸ Smart Helpdesk Solutions▸ Chatbots and Q&A engines
▸ Taxonomy Management▸ Ontology Management▸ Knowledge Graph Management▸ Data Visualization
▸ Semantic Search▸ Personalization▸ Knowledge Discovery Portals▸ Skills Management
▸ Linked Data▸ Integrating
heterogeneous data ▸ Entity Linking
▸ 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.
PoolParty Taxonomy & Ontology Server
PoolParty Extractor
PoolParty GraphEditor PoolParty UnifiedViews
PoolParty Semantic Classifier PoolParty GraphSearch
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▸ Graph-based annotation → Entity linking
▸ Machine-learning-based annotation → Named entity recognition
▸ Machine-learning based classification → Document Classification
▸ Annotation based on Regular expressions
The Knowledge Engineer’s perspective
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
The Data Engineer’s 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
Knowledge Graph Automation and Linked Data Orchestration
Data Governance along the Linked Data Life Cycle
USE CASESLearning from data-driven and content-driven use cases based on our customer success stories.
The 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.
PoolParty 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.
Implementing a knowledge graph led to higher and faster sales results, which could be achieved mainly because of superior user experience.
Our customer is one of the world’s largest food and beverage companies with a presence in 180+ countries.
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Water proof
Leather
Techlite Multi-Grip
Super warm
Multi-Heat
Comfortable
Multi-Tech
Neoprene
Rain
Rainy Summer Warm Winter Muddy Spring
Mud
Personalization, recommender / Dynamic menus, campaigns / Translating jargon into client’s needs
Our client has accumulated vast amounts of structured and unstructured data related to project expertise, which resulted in knowledge that was not easy to share and reuse among the over 50.000 global employees.
The company was looking for a solution to create unified views over disparate knowledge bases, wiki systems and databases.
PoolParty Semantic Suite helped them connect all of their knowledge assets in a meaningful way based on a knowledge graph and precise text mining algorithms.
Having developed a Linked Data Strategy in parallel to the actual implementation will help to further expand their knowledge graph to related business units.
As a result, employees now have an award-winning knowledge sharing tool to solve the most complex project challenges while optimizing costs, mitigating risks and avoiding incidents.
The solution has significantly improved knowledge sharing while assuring consistency and quality in the delivery of projects.
Our customer is a Fortune 500 engineering and construction company working in over 100 countries.
Personalization, recommender, matchmaking, push services, smart assistants
The company has developed over the years a master data management system based on a relational database. Several hundred applications make use of it. It turned out to be a very rigid system, and it is a complex task to extend it or do changes on the master data, also because of the poor usability of the used editors.
PoolParty Semantic Suite is used to turn the existing master data into a graph-based data model by ‘normalizing’ the data using a semantic knowledge graph. By that, our client’s data managers can use PoolParty taxonomy and ontology editors. After the data has been edited, consolidated, and validated, the enriched masterdata is pushed back into the existing master data system.
Implementing a master data management solution enriched by data from a knowledge graph builds the basis for a semantic layer. The company benefits from extended possibilities for data analytics and search. Data managers benefit from editors that provide superior user experience to make master data management more agile.
Our customer is one of the top 20 companies in the pharmaceutical industry.
Over 200 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.
PoolParty 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.
As 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.
Our client is a government-owned NPO providing access to trusted healthcare information.
Their legal and regulatory division wanted to support law professionals with innovative solutions for processes that are often time-consuming.
So far they have used a complex relational database with over 3,5 million documents for an expert search portal. This information system had significant data quality issues causing several complaints from customers.
PoolParty Semantic Suite helped them develop and maintain various Enterprise Knowledge Graphs to solve over 40,000 data quality issues.
As a result, they have implemented a solution to enrich their 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.
Our customer is a global provider of professional information, software solutions, and services.
Our client is a publisher with over 110M units sold each year.
They realized that improving connectivity and findability of the more than 6,000 titles they produce per year worldwide can help them cross-sell and upsell.
They had already an extensive Knowledge Graph in place that provided context to their resources.
They classified data using human input incurring in human bias.
PoolParty Semantic Suite helped them improve classification results by 10% by combining their knowledge graph with machine learning algorithms.
As a result, they benefit 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.
Our customer creates the highest quality educational resources to make them available across the world.
They struggled with a complex product ecosystem where disconnected data often led them to deliver irrelevant or misleading information.
This already cost the company millions of dollars in support services.
PoolParty Semantic Suite helped them build and manage an Enterprise Knowledge Graph.
By that, the client can now connect different types of data in meaningful ways.
As a result, they seamlessly connected all of their data distributed in spreadsheets, SharePoint, Confluence and other systems.
Their content can now be automatically and consistently annotated, making it easier to provide the right information to the right user regardless of channels and languages.
Our customer is a leader in digital entertainment with 100s of millions of registered players around the world.
Since its foundation decades ago, they have been accumulating data that is siloed off in different data warehouses, making it difficult to understand the value of their data.
They were looking for a solution to connect their data in a meaningful way.
PoolParty Semantic Suite helped them eliminate data silos and enhance data quality to address the critical needs of stakeholders such as legal, compliance, accounting, and controlling.
As a result, the company has drastically reduced duplication and ambiguity of data helping their employees trust the data they work with to gain insights and support decision making.
Our customer is one of largest family-owned private banking and asset management group in the world.
➔ SKOS Taxonomy Management➔ Multiple Projects➔ Taxonomy Rest API➔ Import/Export (incl. Excel)➔ Rollback and History
➔ Ontologies and Custom Schemes➔ Quality Management & Reports➔ Advanced Corpus Management➔ Vocabulary Mapping, Linked Data Mapping➔ Linked Data Enrichment, Frontend, and SPARQL endpoint
➔ Entity Extractor Extractor API➔ Autopopulate project from DBpedia➔ Export to Remote Repository➔ Workflow Management➔ SKOS-XL (optional)
➔ Integration with Graph databases➔ Integration with Search engines➔ Data linking & mapping➔ Data transformation pipelines with UnifiedViews➔ Graph Search Server
$3,750/mo
$2,490/mo
$1,349/mo
$549/mo
All products are available as cloud services or for on-premise installation
PoolParty Academy Video Tutorials Online Help & Manuals Demo Account
CEO & Founder
https://www.linkedin.com/in/andreasblumauer
© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/
CFO & Founder
https://www.linkedin.com/in/martinkaltenboeck
CIO & Founder
https://www.linkedin.com/in/ankoller/