POOLPARTY SEMANTIC SUITE FUNCTIONAL OVERVIEW. Andreas Blumauer CEO, Semantic Web Company. Helmut Nagy COO, Semantic Web Company

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1 1 POOLPARTY SEMANTIC SUITE FUNCTIONAL OVERVIEW Andreas Blumauer CEO, Semantic Web Company Helmut Nagy COO, Semantic Web Company

2 Andreas Blumauer graduates Semantic Web Company serves customers >200 2 founder & CEO of founded 2004 located INTRODUCTION active at editor of developer and vendor of Vienna is about based on current Version 6.0 manages part of Enterprise Knowledge Graphs Ontologies standard for part of standard for Taxonomies enriches

3 3 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 Companies That Matter in Knowledge Management

4 4 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, 2016 and

5 5 SELECTED CUSTOMER REFERENCES AND PARTNERS 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 Alliander N.V. 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 US West US East Partners UK SWC headquarters Accenture EPAM Systems Enterprise Knowledge Mekon Intelligent Content Solutions B-S-S Business Software Solutions MarkLogic Wolters Kluwer Digirati Quark AUS/ NZL

6 6 MAKE USE OF POOLPARTY SEMANTIC SUITE OVERVIEW

7 7 Taxonomy & Ontology Server Entity Extractor & Text Mining Data Integration & Data Linking TECHNICAL CORE COMPONENTS Controlled vocabularies as a basis for highly precise entity extraction 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. Unstructured Data Semistructured Data Structured Data Schema mapping based on ontologies Entity Extractor informs all incoming data streams about its semantics and links them Unified Views Identify new candidate concepts to be included in a controlled vocabulary RDF Graph Database PoolParty GraphSearch

8 8 PoolParty Semantic Suite System Architecture Overview

9 Elevator Pitch Built as a Semantic Middleware Outstanding user-friendliness Fully standards-compliant Highly precise entity extraction Comprehensive API Excellent maintainability of extraction

9 9 Elevator Pitch Built as a Semantic Middleware Outstanding user-friendliness Fully standards-compliant Highly precise entity extraction Comprehensive API Excellent maintainability of extraction models Integrated with leading search engines & graph databases Integrated with leading content management platforms Product configuration options for growing requirements Highly expertised partners / service team

10 Product Overview All products are available as cloud services or for on-premise installation > PoolParty Feature & Price Matrix Integration with Graph databases Integration with Search engines

Repository Workflow Management SKOS-XL (optional) Ontologies and Custom Schemes Quality Management & Reports Advanced Corpus Management Vocabulary Mapping, Linked Data Mapping Linked Data Enrichment,

10 10 Product Overview All products are available as cloud services or for on-premise installation > PoolParty Feature & Price Matrix Integration with Graph databases Integration with Search engines $76,000 ppt Data linking & mapping $3,750/mo Data transformation pipelines with UnifiedViews Graph Search Server Entity Extractor Extractor API Autopopulate project from DBpedia Export to Remote Repository Workflow Management SKOS-XL (optional) Ontologies and Custom Schemes Quality Management & Reports Advanced Corpus Management Vocabulary Mapping, Linked Data Mapping Linked Data Enrichment, Frontend, and SPARQL endpoint SKOS Taxonomy Management Multiple Projects Taxonomy Rest API Import/Export (incl. Excel) Rollback and History PoolParty Semantic Integrator PoolParty Enterprise Server PoolParty Advanced Server PoolParty Basic Server

11 11 BASIC PRINCIPLES Benefiting from the Semantic Web in a Nutshell

12 12 Four-layered Content Architecture

13 13 Content PoolParty as a supervised learning system Manager is user of proposes extensions uses API PowerTagging is basis of Extractor annotates enriches Index is basis of CMS Integrator is basis of uses API analyzes Taxonomist/ Ontologist is user of Thesaurus Server extends Corpus Learning/ Semantic Analysis

14 14 Interpretant Semiotic Triangle The level of efficiency of an Interpretant depends mainly on its ability to correctly link a symbol with the object it stands for. This is applicable to human beings and to software agents as well. Telescope Symbol Object

Resolving Language Problems While most people can deal with linguistic features as synonyms, homographs, polyhierarchies, and even with far more peculiar

15 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.

16 Things but not Strings: Using a Semantic Knowledge Graph preflabel Retina Funduscope taxonomy/ image taxonomy/ preflabel altlabel Ophthalmoscope images/ has broader /taxonomy/ preflabel Diagnostic Equipment

17 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Retinoscope Endoscope Flowmeter Pessary Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

18 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Diagnostic Equipment Diagnostic Equipment, Retinoscope Diagnostic Equipment, Endoscope Diagnostic Equipment, Flowmeter Surgical Equipment, Pessary Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

19 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Show me all documents about Funduscopes Diagnostic Equipment Diagnostic Equipment, Retinoscope Diagnostic Equipment, Endoscope Diagnostic Equipment, Flowmeter Surgical Equipment, Pessary Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

20 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Show me all documents about Funduscopes Diagnostic Equipment Funduscope Funduscope, Diagnostic Equipment, Retinoscope Diagnostic Equipment, Endoscope Diagnostic Equipment, Flowmeter Surgical Equipment, Pessary Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

21 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Show me all documents about Ophthalmoscopes Diagnostic Equipment Ophthalmoscope, Funduscope, Diagnostic Equipment, Retinoscope Diagnostic Equipment, Endoscope Diagnostic Equipment, Flowmeter Surgical Equipment, Pessary Funduscope Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

22 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Optical Instruments, Ophthalmoscope Funduscope, Diagnostic Equipment, Retinoscope Optical Instruments, Diagnostic Equipment, Endoscope Show me all documents about Funduscopes Diagnostic Equipment, Flowmeter Optical instruments? Surgical Equipment, Pessary Funduscope Diagnostic Equipment Optical Instruments Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

23 The power of knowledge graphs: Agility, extensibility, precision Traditional approach Show me all documents about Diagnostic Equipment Graph-based approach Metadata per document Optical Instruments, Ophthalmoscope Funduscope, Diagnostic Equipment, Retinoscope Show me all documents about Funduscopes Optical 1. No or little network effects instruments? Optical 2. No reuse Instruments, of metadata 3. Metadata Diagnostic resides in Diagnostic silos Equipment, Equipment, 4. Data Endoscope quality hard Flowmeter to measure 5. Not machine-readable Surgical Equipment, Pessary Funduscope Knowledge Diagnostic about Equipment Optical metadata Instruments 1. Explicit knowledge models 2. Reusable and measurable 3. Metadata is machine-processable 4. Standards-based metadata 5. Linkable metadata opens silos Retinoscope Endoscope Flowmeter Pessary doc doc doc doc doc doc doc doc

24 24 <article> Support for XML to RDF mapping: Structured and unstructured elements transformed to RDF <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> </article> schema:article rdf:type schema:image schema:image skos:preflabel dct:creator dct:title Mike Miller skos:altlabel skos:subject skos:preflabel skos:subject Michael Miller How to Use an Ophthalmoscope skos:broader skos:altlabel Eye Disease skos:preflabel skos:preflabel Diagnostic Equipment Ophtalmoscopes Funduscopes

25 25 Setting the rules for text mining & entity extraction via thesaurus Proper use of an funduscope requires a bit of practice and familiarity with the functions of your device. Diagnostic Equipment Ophtalmoscope

26 26 BASIC FUNCTIONALITIES PoolParty s core competencies at a glance

27 27 Maintaining Vocabularies Taxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C. Place your screenshot here 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.

28 SKOS Editor The SKOS View on a concept allows the management of labels (e.g. synonyms), hierarchies and non-hierarchical relations, and mappings to other vocabularies.

28 28 SKOS Editor The SKOS View on a concept allows the management of labels (e.g. synonyms), hierarchies and non-hierarchical relations, and mappings to other vocabularies. Place your screenshot here 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.

29 29 History & Audit Trails Every change being made on a concept of a thesaurus is stored and can be tracked. Place your screenshot here 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.

30 30 Linking & Mapping The same concept can occur in several taxonomies and can be put in different contexts. Place your screenshot here 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.

31 31 User Management & Roles User Management is based on user accounts, roles, and groups. Place your screenshot here 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.

32 32 Workflows Approval (or rejection) of changes on a thesaurus can be governed by workflows. Place your screenshot here 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.

33 33 SKOS based Taxonomy Management Workflows SELECTED VIDEOS > PoolParty on YouTube Taxonomy Linking Import Excel

34 34 ADVANCED FUNCTIONALITIES Efficient taxonomy management and text mining based on PoolParty

35 35 Entity Extraction PoolParty s API provides a rich set of methods for text mining and entity extraction. Place your screenshot here 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.

36 36 Custom Schemes & Ontologies SKOS is based on a simple schema. This can be expanded by additional custom schemes. Place your screenshot here 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 37 Taxonomy How PoolParty s ontology and custom schema management plays together with taxonomies Custom Schema Ontology Ontology 1 from library Ontology 2 (imported) Ontology 3 (custom-made)

38 Quality Management & Import Validation Data quality and especially the quality of metadata is key to a more efficient information management.

38 38 Quality Management & Import Validation Data quality and especially the quality of metadata is key to a more efficient information management. Place your screenshot here 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 39 Corpus Analysis PoolParty can automatically analyze reference text corpora. 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. Place your screenshot here By this means, the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system.

Concept skos: Concept Term 7 Reference Corpus - Websites - PDF, Word, - Abstracts from DBpedia - RSS Feeds Term

40 40 I need support to continuously extend our taxonomy / controlled vocabulary! Term 8 Corpus analysis results in a network of concepts and terms Term 1 Term 2 skos: Concept Term 3 skos: Concept skos: Concept Term 7 Reference Corpus - Websites - PDF, Word, - Abstracts from DBpedia - RSS Feeds Term 4 Term 5 - Relevant terms and phrases - Relevancy of concepts - co-occurence between concepts and terms - co-occurence between terms and terms Term 6

41 41 Linked Data The use of Linked Data standards increases interoperability of your knowledge graphs & metadata. Place your screenshot here 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.

42 42 RDF based ETL Data processing tasks can be modelled as pipelines: Make use of the intuitively usable graphical interface. Place your screenshot here 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).

43 43 PoolParty Semantic Integrator - at a glance Unstructured Data Deep Data Analytics Structured Data Semantic Integrator Watch Tutorial Semantic Search ETL / Monitoring / Scheduling

44 GraphSearch Semantic search at the highest level: PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of traditional search engines.

44 44 GraphSearch Semantic search at the highest level: PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of traditional search engines. Place your screenshot here 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.

45 45 Custom Schemes & Ontologies Entity Extraction SELECTED VIDEOS > PoolParty on YouTube Corpus Analysis UnifiedViews

46 46 INTEGRATION WITH MARKLOGIC Benefiting from a Full Semantics Stack

47 47 MarkLogic and PoolParty at a Glance

48 48 YOUR BENEFIT Operational and Transactional Enterprise NoSQL Database Fast Time to Results Ask Anything Universal Index Trusted Data and Transactions Enterprise-Grade Security Scale-Out Commodity Hardware Lightning Fast and Real-Time Semantic Middleware for Enrichment and Linking Superior user friendliness + = Semantic as a Service Standards-based technology Precise document classification Graph-based metadata management Beyond search FULL SEMANTICS STACK Data Integration Data Enrichment Intelligent Search Deep Analytics Data Governance

49 49 MarkLogic / PoolParty Demo Application > Try it out!

50 50 INTEGRATION WITH VIRTUOSO Benefiting from a large-scale RDF Store

51 51 YOUR BENEFIT Native database capability and a virtual database Performant SPARQL engine Massive Linked Data Graphs Transactions Scaling to trillions of triples Federated environments Built-in inferencing Semantic Middleware for Enrichment and Linking Superior user friendliness + = Semantic as a Service Standards-based technology Precise document classification Graph-based metadata management Beyond search GRAPH BASED ANALYTICS Data Integration Data Enrichment Intelligent Search Linked Data Data Virtualization

52 52 INTEGRATION WITH A CMS Benefiting from a Semantic Layer

53 53 INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE

54 54 TWO INTEGRATION SCENARIOS Option 1: Concepts are derived from taxonomy and tagging is stored together with the asset in the DAM/CMS DAM/CMS 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. PoolParty API DAM/CMS PoolParty API LD Store Pool Party DAM/CMS API User4711 Wed 3 May, 2017 Pool Party

55 55 SharePoint and PoolParty at a Glance > Learn more

56 56 Autotagging & Consistent Tagging based on controlled vocabularies

57 57 Semantic Search for SharePoint and Office 365

58 58 USE CASES Success Stories about SKOS, Linked Data, and PoolParty Semantic Suite

59 59 Use Cases for SKOS, Linked Data, and for Vocabulary Hubs Climate Tagger (PDF) Streamline and catalogue data and information resources CTCN Matchmaking Assistant Accurate matchmaking between problem statements and solution providers healthdirect Australia (PDF) Semantic Search based on the Australian Health Thesaurus Wolters Kluwer (PDF) Vocabularies as a backbone for enterprise linked data & visualization Boehringer Ingelheim (PDF) Vocabularies as means for data integration A Retailer Personalization based on controlled vocabularies Red Bull Manage over 60 websites with the help of taxonomies

60 Climate Tagger Help organizations in the climate and development arenas catalogue, categorize, contextualize, and connect data and information

60 60 Climate Tagger Help organizations in the climate and development arenas catalogue, categorize, contextualize, and connect data and information resources. Place your screenshot here Climate Tagger is backed by the expansive Climate Compatible Development Thesaurus.

61 61 CTCN Matchmaking Controlled vocabularies enable accurate matchmaking between problem statements and capabilities of solution providers. Place your screenshot here Matchmaking is based upon the Climate Compatible Development Thesaurus. Reference

Place your screenshot here Harmonization of various metadata

62 62 healthdirect Australia Integrated views and semantic search over more than 100 trusted sources. Place your screenshot here Harmonization of various metadata systems through the use of a central vocabulary hub: Australian Health Thesaurus.

63 63 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 wolterskluwer.de

64 64 Boehringer Ingelheim Data integration based on controlled vocabularies: Linking of structured and unstructured data. Place your screenshot here Semantic search and data analytics based on RDF graphs and SPARQL. Reference

65 65 A Retailer Controlled vocabularies enable personalization, searchability of localized content, data governance and standardization. Place your screenshot here Personalizing user experiences with brands and products is a data driven task. See example

66 Red Bull Manage over 60 websites in a multi-lingual environment with the help of taxonomies. 19 Mio. hits per day. All content is linked to the global taxonomy.

66 66 Red Bull Manage over 60 websites in a multi-lingual environment with the help of taxonomies. 19 Mio. hits per day. All content is linked to the global taxonomy. Place your screenshot here All local versions are maintained in specific taxonomies, which are linked to the global taxonomy. Specific menu structures are managed by skos:collections

I need a tool that provides convenient functionalities and intuitive user interfaces for my daily work.

67 67 SUMMARY WHY TAXONOMISTS & INFORMATION ARCHITECTS LIKE POOLPARTY Read more Different project stakeholders expect specific qualities from a semantic technology platform: I am a taxonomist. I need a tool that provides convenient functionalities and intuitive user interfaces for my daily work. I am an information architect. Enterprise metadata management deserves scalable technologies, which provide semantic services on top of rich APIs based on standards.

68 68 PoolParty Academy Get certified!

69 69 GET STARTED Get your test account at

70 Andreas Blumauer CEO, Semantic Web Company CONNECT andreas.blumauer@semantic-web.com https://www.linkedin.

70 70 Andreas Blumauer CEO, Semantic Web Company CONNECT Semantic Web Company - and

71 Helmut Nagy COO, Semantic Web Company CONNECT helmut.nagy@semantic-web.com https://at.linkedin.

71 71 Helmut Nagy COO, Semantic Web Company CONNECT Semantic Web Company - and

Linking SharePoint Documents with Structured Data. Towards Unified Views of Business-critical Information. Andreas Blumauer Director PoolParty Ltd, UK

Linking SharePoint Documents with Structured Data Towards Unified Views of Business-critical Information Andreas Blumauer Director PoolParty Ltd, UK 2 Andreas Blumauer serves customers Semantic Web Company