Poolparty Semantic Suite Functional Overview

PoolParty Semantic Suite Functional Overview

Andreas Blumauer CEO & Managing Partner

Semantic Web Company / PoolParty Semantic Suite 2 Semantic Web Company (SWC) ▸ Founded in 2004, based in Vienna ▸ Privately held

3 ▸ 50 FTE ▸ Software Engineers & Consultants for Introducing NLP, Semantics and Machine learning Semantic Semantic Web AI ▸ Developer & Vendor of Company PoolParty Semantic Suite ▸ Participating in projects with €2.5 million funding for R&D ▸ ~30% revenue growth/year

▸ SWC named to KMWorld’s ‘100 Companies That Matter in Knowledge Management’ in 2016, 2017 and 2018

▸ www.semantic-web.com

2017 2016 PoolParty Semantic Suite ▸ Most complete Semantic Middleware on the Global Market ▸ Semantic AI: Fusion of Knowledge 4 Graphs, NLP, and Machine Learning ▸ W3C standards compliant Fact sheet: PoolParty ▸ First release in 2009 ▸ Current version 7.0 ▸ On-premises or cloud-based ▸ Over 200 installations world-wide

▸ Named as Sample Vendor in Gartner’s Hype Cycle for AI 2018

▸ KMWorld listed PoolParty as Trend-Setting Product 2015, 2016, 2017, and 2018

▸ www.poolparty.biz We work with Global Fortune Companies, and with some of the largest GOs and NGOs from over 20 countries. SWC head- US UK quarters West US Selected Customer References East

5 ● Credit Suisse ● Boehringer Ingelheim Selected ● Roche ● adidas Customer ● The Pokémon Company ● Fluor AUS/ References ● Harvard Business School NZL ● Wolters Kluwer and Partners ● Philips ● Nestlé ● Electronic Arts Selected Partners ● Springer Nature ● Pearson - Always Learning ● Enterprise Knowledge ● Healthdirect Australia ● Mekon Intelligent Content Solutions ● World Bank Group ● Soitron ● Canadian Broadcasting Corporation ● Accenture ● Oxford University Press ● EPAM Systems ● International Atomic Energy Agency ● BAON Enterprises ● Siemens ● Findwise ● Singapore Academy of Law ● Tellura Semantics ● Inter-American Development Bank ● HPC ● Council of the E.U. ● Minerva Intelligence ● AT&T ● Make it a Triple 6 Gartner Hype Cycle for Artificial Intelligence, 2018

“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.” Process Automation Information Management 7 ▹ Enhanced Machine Learning ▹ Semantic Content Management ▹ Text Mining & NLP ▹ Metadata Management Solutions based ▹ Document Classification ▹ Masterdata Management on PoolParty Enhanced Customer Experience Knowledge Engineering

▹ Recommender Systems ▹ Taxonomy Management

▹ SEO ▹ Ontology Management ▹ Smart Helpdesk Solutions ▹ Knowledge Graph Management ▹ Chatbots and Q&A engines ▹ Data Visualization Knowledge Management Agile Data Integration ▹ Semantic Search ▹ Linked Data ▹ Personalization ▹ Integrating heterogeneous data ▹ Knowledge Discovery Portals ▹ Entity Linking The Most Complete Semantic 8 Middleware on the Global Market Why ▸ Future-proof investment & PoolParty? data portability Fully standards-compliant

▸ Middleware approach Easy integration based on comprehensive API

▸ Shorter learning curve Outstanding user-friendliness & E-learning PoolParty enables enterprise- ▸ Technological lead Machine Learning, NLP and Semantics ready solutions based on cutting-edge technologies. ▸ Modular architecture & price model Adapt to growing demands Taxonomy & Entity Extractor & Data Integration & Ontology Server Semantic Classifier Data Linking

Semi- Controlled vocabularies as a basis for Unstructured Structured structured Data Data 9 highly precise knowledge extraction Data and text classification PoolParty Factsheet Semantic Suite Bain Capital is a venture capital company based in Boston, MA. Since inception it has invested in Schema mapping hundreds of companies including AMC Most complete Entertainment, Brookstone, and Burger based on ontologies King. The company was co-founded by Semantic Mitt Romney. Middleware on Entity Extractor informs all incoming data the Global Market streams about its semantics and links them Unified Views

Identify new candidate concepts PoolParty to be included in a GraphSearch controlled vocabulary RDF Graph Database 10 Knowledge Graph Management

Along the Linked Data Life Cycle 11 Functions and Components PoolParty PoolParty Taxonomy & PoolParty 12 GraphEditor Ontology Server UnifiedViews PoolParty Components

Screenshots

PoolParty PoolParty PoolParty Extractor Semantic Classifier GraphSearch 13 PoolParty Semantic Suite

System Architecture Overview

Integration with Graph databases PoolParty Integration with Search engines $76,000 ppt Semantic Data linking & mapping $3,750/mo Integrator Linked Data Orchestration based on UnifiedViews Graph Search Server 14 Entity Extractor Extractor API Product PoolParty Autopopulate project from DBpedia Enterprise Overview Semantic Classifier (optional) Server Workflow Management SKOS-XL (optional) All products are available as Ontologies and Custom Schemes PoolParty Quality Management & Reports Advanced cloud services or Corpus Management Server for on-premise Vocabulary Mapping, Linked Data Mapping installation Linked Data Enrichment, Frontend, and SPARQL endpoint

SKOS Taxonomy Management PoolParty Multiple Projects > PoolParty Basic Taxonomy Rest API Server Feature & Price Import/Export (incl. Excel) Matrix Rollback and History 15

BASIC PRINCIPLES Benefiting from the Semantic Web in a Nutshell 16 Core Principle

The Semantic Layer completes the Four-layered Data & Content Architecture 17 Maturity Model

Roadmap for a more agile Data Governance Framework PowerTagging is user of annotates 18 CMS Content Manager proposes is basis of PoolParty extensions Machine Learning Index enriches

Based on corpus Extractor & Classifier analysis as a uses API is basis of supervised Integrator is basis of learning system analyzes uses API

Thesaurus Server is user of extends Corpus Learning/ Taxonomist/ Semantic Analysis Ontologist Resolving Language Problems

“While most people can deal with linguistic features as synonyms, homographs, polyhierarchies, and even with far more peculiar characteristics of natural languages, machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmatically.” ‘Things’ but not Strings: Using a ‘Semantic Knowledge Graph’

Retina Funduscope prefLabel

http://www.my.com/ taxonomy/62346723 http://www.my.com/ prefLabel taxonomy/ 97345854 Ophthalmoscope image altLabel

http://www.my.com/ http://www.mycom.com images/90546089 has broader /taxonomy/4543567

prefLabel

Diagnostic Equipment 21

BASIC FUNCTIONALITIES PoolParty’s core competencies at a glance 22 Maintaining Vocabularies Taxonomies and controlled Place your screenshot here vocabularies are maintained by using the SKOS standard of W3C. The intuitive user interface provides comfortable control elements like drag & drop or autocomplete. A tree view on the taxonomy plays a central part in navigation and orientation. 23 SKOS Editor The SKOS View on a concept allows the management of labels Place your screenshot here (e.g. synonyms), hierarchies and non-hierarchical relations, and mappings to other vocabularies. Also more complex actions like merging of concepts, moving of subtrees or the creation of poly-hierarchies are supported. PoolParty fully covers the SKOS standard of W3C incl. SKOS-XL and SKOS Collections. 24 History & Audit Trails Every change being made on a Place your screenshot here concept of a thesaurus is stored and can be tracked. A full history containing the author, timestamp and action being taken can be displayed for each concept and for the whole project. Recovery and rollback can be managed by PoolParty’s snapshot mechanism. 25 Linking & Mapping The same concept can occur in Place your screenshot here several taxonomies and can be put in different contexts. PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri. Additionally, concepts can also be mapped to linked data sources like DBpedia or Geonames, or even to non-RDF sources provided by you. 26 User Management & Roles

User Management is based on user Place your screenshot here accounts, roles, and groups. User authentication can be integrated with LDAP. PoolParty’s security layer is based on Spring Security. PoolParty’s API is fully integrated with the security layer. 27 Workflows Approval (or rejection) of changes on a thesaurus can be governed by Place your screenshot here workflows. Several roles in the PoolParty system have different rights to apply changes, reject or approve those. A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed. SKOS based 28 Taxonomy Management Workflows SELECTED VIDEOS

> PoolParty on YouTube Taxonomy Linking Import Excel 29

ADVANCED FUNCTIONALITIES Efficient taxonomy management and text mining based on PoolParty 30 Entity Extraction PoolParty’s API provides a rich set of methods for text mining and entity Place your screenshot here extraction. This ultra-fast service makes use of your controlled vocabularies, therefore it is highly accurate for your specific domain. The service will improve over time and learns from reference text corpora. It supports over 40 languages and comes with a powerful disambiguation algorithm.

Mike Miller

How to Use an Ophthalmoscope skos:prefLabel

skos:altLabel 31 328832 Michael Miller Mike Miller schema:Article http://my.com/people/32 March 20, 2016 Support for 2 dct:creator How to Use an XML to RDF approved Ophthalmoscope rdf:type mapping: Ophtalmoscopes dct:title Proper use of an funduscope requires a bit of http://my.com/docs/328832 Eye Disease Structured and practice and familiarity with the functions of your device. Regardless of model type, these hand-held skos:subject devices are critical in the evaluation and diagnosis skos:prefLabel unstructured of a variety of diseases in the eye. schema:image

elements After this examination is complete, follow the skos:subject retinal arteries and examine the four vascular http://my.com/img/99.jpg skos:prefLabel transformed to arcades including the superotemporal, skos:broader superonasal, inferotemporal, and inferonasal. schema:image RDF Diagnostic http://my.com/img/99.jpg Equipment skos:prefLabel

skos:altLabel

Ophtalmoscopes Funduscopes 32 ‘Setting the rules’ for text mining & entity extraction via thesaurus

Diagnostic Equipment Proper use of an funduscope requires a bit of practice and familiarity with the functions of your device. Ophtalmoscope 33 Semantic Classifier Text Classification based on Machine Learning and Semantic Knowledge Place your screenshot here Models. PoolParty Semantic Classifier combines machine learning algorithms (SVM, Deep Learning, Naive Bayes, etc.) with Semantic Knowledge Graphs.

The combined approach improves the classification results by up to 3% as compared to traditional term-based approaches. 34 Corpus Analysis PoolParty can automatically analyze reference text corpora. Place your screenshot here The calculation of a statistical model of a ‘typical vocabulary’ of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy. By this means, the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system. I need support to continuously extend our taxonomy / controlled Term 8 vocabulary!

skos: 35 Concept Term 1 Corpus analysis results in a skos: Concept Term 7 network of concepts and Term 2 terms Term 3 skos: Concept Reference Corpus Term 4 Term 5 Term 6 - Websites - PDF, Word, … - Abstracts from - Relevant terms and phrases DBpedia - Relevancy of concepts - RSS Feeds - co-occurence between concepts and terms - co-occurence between terms and terms 36 Ontologies & Custom Schemes SKOS is based on a simple schema. Place your screenshot here This can be expanded by additional ontologies & custom schemes. Custom schemes can be created with help of PoolParty’s ontology & schema editor. For an increased interoperability, PoolParty provides a rich set of preconfigured ontologies like schema.org or FOAF. 37 Taxonomy How PoolParty’s ontology and custom schema management Custom Schema plays together with taxonomies

Ontology

Ontology 1 Ontology 2 Ontology 3 from library (imported) (custom-made) 38 Quality Management & Import Validation

Data quality and especially the Place your screenshot here quality of metadata is key to a more efficient information management. PoolParty Server provides several built-in quality checks (e.g. to avoid circularities). Checks can be executed when imports are made, at run-time or at any time to generate a quality report. 39 Linked Data The use of Linked Data standards increases interoperability of your Place your screenshot here knowledge graphs & metadata. With PoolParty, each thesaurus and ontology can be provided as a Linked Data graph. In return, every linked data source can potentially be used to enrich a thesaurus. PoolParty supports scenarios like ‘Enterprise Linked Data’ as well as ‘Linked Open Data’. 40 Linked Data Orchestration With UnifiedViews, data processing Place your screenshot here 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 pipelines are highly customizable by creating your own data processing units (DPUs). 41 GraphEditor With GraphEditor users can create ontology-driven custom Place your screenshot here editors to work with graph data One can benefit from assisted search over graph data and from assisted bulk editing of RDF graphs. Administrate graphs based on user-friendly inline editing and generate SPARQL queries based on an assistant! 42 PoolParty Unstructured Semantic Data Integrator - Deep Data at a glance Analytics

Semantic Structured Integrator Data

Watch Tutorial

Semantic Search ETL / Monitoring / Scheduling 43 GraphSearch Semantic search at the highest level: PoolParty Graph Search Place your screenshot here Server combines the power of graph databases and SPARQL engines with features of ‘traditional’ search engines. Document search and visual analytics: Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries. 44 Custom Schemes & Ontologies Entity Extraction SELECTED VIDEOS

> PoolParty on YouTube Corpus Analysis UnifiedViews 45

INTEGRATION WITH MARKLOGIC Benefiting from a Full Semantics Stack 46 MarkLogic and PoolParty at a Glance 47 YOUR BENEFIT FULL SEMANTICS STACK Operational and Semantic Middleware for Transactional Enterprise Enrichment and Linking NoSQL Database Data Integration Superior user friendliness Fast Time to Results

Semantic as a Service Data Enrichment Ask Anything Universal Index Standards-based technology = Trusted Data and Transactions + Intelligent Search Precise document classification Enterprise-Grade Security Deep Analytics Graph-based metadata Scale-Out Commodity Hardware management

Lightning Fast and Real-Time Beyond search Data Governance 48 MarkLogic / PoolParty Demo Application

> Try it out!

Learn more about MarkLogic and PoolParty as a bundle 49

INTEGRATION WITH A CMS Benefiting from a Semantic Layer 50 INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE Option 2: Concepts are derived from taxonomy, and tagging event is stored in a Linked Data Option 1: Store by tying together assets with concepts 51 Concepts are derived from taxonomy and from graph. tagging is stored together with the asset in TWO the DAM/CMS DAM/CMS INTEGRATION DAM/CMS PoolParty SCENARIOS API http://apple.com/graph/1234

PoolParty API http://apple.com/graph/1234

http://apple.com/macmini.jpg http://apple.com/macmini.jpg

http://apple.com/macmini.jpg LD Store

Pool Party DAM/CMS http://apple.com/graph/1234 API

User4711 Wed 3 May, 2017

Pool http://apple.com/macmini.jpg Party 52 SharePoint and PoolParty at a Glance

> Learn more 53 Autotagging & Consistent Tagging based on controlled vocabularies 54 Semantic Search for SharePoint and Office 365 55

USE CASES Success Stories about SKOS, Linked Data, and PoolParty Semantic Suite 56 Some Use Cases that make use of PoolParty 57 Climate Tagger Help organizations in the Place your screenshot here climate and development arenas catalogue, categorize, contextualize, and connect data and information resources. Climate Tagger is backed by the expansive Climate Compatible Development Thesaurus. http://www.climatetagger.net 58 CTCN Matchmaking Controlled vocabularies Place your screenshot here enable accurate matchmaking between ‘problem statements’ and capabilities of solution providers. Matchmaking is based upon the Climate Compatible Development Thesaurus.

Reference 59 healthdirect

Australia Place your screenshot here Integrated views and semantic search over more than 100 trusted sources. Harmonization of various metadata systems through the use of a central vocabulary hub: Australian Health Thesaurus. http://www.healthdirect.gov.au 60 Wolters Kluwer Usage of controlled vocabularies as part of the semantic search architecture. Provision of Topics Browser to navigate topics, relations and related documents.

Reference http://vocabulary. wolterskluwer.de 61 Boehringer Ingelheim Data integration based on Place your screenshot here controlled vocabularies: Linking of structured and unstructured data. Semantic search and data analytics based on RDF graphs and SPARQL.

Reference 62 A Retailer Controlled vocabularies enable personalization, Place your screenshot here searchability of localized content, data governance and standardization. Personalizing user experiences with brands and products is a data driven task.

See example 63 Red Bull Manage over 60 websites in a multi-lingual environment with the help of taxonomies. 19 Mio. hits per day. Place your screenshot here All content is linked to the global taxonomy. All local versions are maintained in specific taxonomies, which are linked to the global taxonomy. Specific menu structures are managed by skos:Collections Different project stakeholders expect specific 64 qualities from a semantic technology platform: SUMMARY I am a taxonomist. I need a tool that WHY provides convenient functionalities and TAXONOMISTS & intuitive user interfaces for my daily work. INFORMATION ARCHITECTS LIKE POOLPARTY I am an information architect. Enterprise Read more metadata management deserves scalable technologies, which provide semantic services on top of rich APIs based on standards. 65 PoolParty Academy

Get certified!

https://www.poolparty.biz/academy/ 66 Semantic Web Starter Kit 67 GET STARTED

Get your test account at www.poolparty.biz How to build a Knowledge Graph? Anatomy of an Enterprise Knowledge Graph Things and URIs

St. Mark’s Square http://my.com/2 Venice http://my.com/1

http://my.com/3 Peggy Guggenheim Museum Labels and basic relations: Taxonomies and Thesauri

Venice St. Mark’s Square prefLabel prefLabel Piazza altLabel San Marco related Piazza broader prefLabel Town Square related altLabel

prefLabel Peggy Guggenheim Museum Classes, specific relations, restrictions: Ontologies and Custom Schemas

Venice St. Mark’s Square prefLabel prefLabel containedInPlace Piazza altLabel San Marco Piazza image broader prefLabel Town Square altLabel containedInPlace Monday through Sunday, all day

opening Hours prefLabel

http://schema.org/City Peggy Guggenheim http://schema.org/TouristAttraction Museum http://schema.org/ArtGallery

http://schema.org/containedInPlace Metadata and Graph annotations

Venice St. Mark’s Square prefLabel prefLabel containedInPlace Piazza CC BY-SA 3.0 altLabel San Marco Piazza image broader prefLabel Town Square altLabel containedInPlace Monday through Sunday, all day

opening Hours prefLabel

http://schema.org/City Peggy Guggenheim http://schema.org/TouristAttraction Museum http://schema.org/ArtGallery

http://schema.org/containedInPlace Entity linking and schema mappings: Links to other graphs

opening Hours prefLabel

http://schema.org/City Peggy Guggenheim http://schema.org/TouristAttraction Museum http://schema.org/ArtGallery

http://schema.org/containedInPlace Linking to data and documents stored in other systems

opening The Peggy Guggenheim Hours prefLabel Collection is http://schema.org/City Peggy a modern art Guggenheim museum on the http://schema.org/TouristAttraction Grand Canal in Museum the Dorsoduro http://schema.org/ArtGallery sestiere of Venice, Italy. http://schema.org/containedInPlace The power of knowledge graphs: Agility, extensibility, precision