PoolParty Semantic Platform - Overview

PoolParty is a world-leading semantic technology platform focusing on standards-based management of taxonomies and ontologies.
Its outstanding text mining capabilities based on controlled vocabularies open up new options for masterdata and information management.

Try out a powerful thesaurus management system and entity extractor. See how easily knowledge models can be generated with PoolParty, and learn how linked open data can enrich your own thesaurus. Get an impression how simple it is to publish a knowledge model as linked open data and test our text mining component.

PoolParty Thesaurus Server (PPT) is an advanced software platform to manage enterprise metadata and linked data based on semantic knowledge models (taxonomies, thesauri, ontologies and knowledge graphs). PPT´s metadata management is based on W3C´s Semantic Web standards RDF, SKOS and OWL and is combined with text mining and linked data mapping technologies. PoolParty´s API (based on W3C´s SPARQL standard) allows the integration of semantic technologies with other systems like search engines, CMS, DMS, web shops or Wikis. In addition, PoolParty Enterprise Server offers outstanding facilities based on PoolParty Extractor that allow text mining over large document collections.

PoolParty knowledge modeling approach combines best-of-breed approaches of the semantic web (text corpus analysis, entity extraction, linked data enrichment, SKOS thesaurus management). This enables thesaurus managers to build, maintain and publish even the largest and most complex knowledge models built on top of RDF Schema and SKOS.

Application scenarios

web-based thesaurus-, vocabulary- and taxonomy-management based on open standards;
(semi-)automatic annotation and categorisation of documents with high precision;
thesaurus- and linked data publishing on the web and on the intranet (Sharepoint, Confluence etc.) as a basis to build semantic mash-ups;
data integration from different sources (structured and unstructured) based on flexible metadata models;

1. Your consultants Overview & Applications Andreas Welcome! Helmut Florian

2. About Semantic Web Company (SWC) SWC was founded 2001 in Vienna, Austria Over 20 experts in linked data technologies Product: PoolParty Suite (launched 2009) Serving customers from all over the world EU- & US-based consulting services

3. Our network: Customers & Partners Customers Credit Suisse Daimler Roche Wolters Kluwer Tieto Canadian Broadcasting Corporation (CBC) World Bank Group The Pokémon Company Healthdirect Australia Ministry of Finance (A) Wood Mackenzie Red Bull Media House Council of the E.U. TC Media American Physical Society Education Services Australia Pearson Techtarget Norwegian Directorate of Immigration REEEP European Commission Bank of America Finance / Automotive / Publisher / Health Care / Public Administration / Energy / Education Partners Cognizant EBCONT EPAM Systems iQuest PwC DTI AG Tenforce OpenLink Software Ontotext MarkLogic Gravity Zero Altotech Wolters Kluwer Term Management Taxonomy Strategies Search explained WAND Digirati Cognistreamer Linked Data Factory Taxonic semweb

4. See how it works...

5. PoolParty core components Create and maintain taxonomies and knowledge graphs “URIfication” of all types of things Linking and mapping between taxonomies and various graphs Access knowledge graphs via API (Read/Write) Support of collaborative workflows around taxonomy management Extraction of ‘things’ (entities) from any kind of text based on knowledge graphs Extraction of (free) terms from any kind of text Categorization of text Ultra-fast auto completion based on knowledge graphs Integrated with highly scalable graph databases Integration layer to improve content and collaboration systems Existing integrations with SharePoint, Drupal, Confluence Provision of user-dialogues to support semi-automatic tagging Semantic indexing based on URIs, faceted search based on taxonomies Content recommender services

6. See how it works: PoolParty components & workflows works on basis for reference taxonomies linked data sources text reference corpora enrich basis for Taxonomist/ Ontologist Developer Confluence, WordPress SharePoint, Drupal, ... search engine database is user of Content Manager enrich annotate basis for analyzes uses API

7. From Simple SKOS to large knowledge graphs your data, e.g. Excel your docs Generate 1st version of SKOS taxonomy Edit,extend & curate taxonomy Extend schema, apply ontologies, use SKOS-XL Link and map between taxonomies and LD graphs - Taxonomy Editing - Collaborative workflows - Free term extraction - Tag recommender - Quality Checker - Reuse of existing vocabularies - Corpus Analysis - Excel import - XML import - Linked data harvester your CMS - Reuse existing ontologies - Create custom schemes - Apply SKOS-XL - Apply ontologies on your SKOS taxonomy - Automatic mapping between taxonomies - Linked Data frontend - Link to other LD graphs, e.g. DBpedia or Geonames

8. ‘Things’ but not strings: Building a ‘semantic knowledge graph’ http://www.mycom.com/ taxonomy/62346723 prefLabel Venice image http://www.mycom.com/ images/90546089 http://www.mycom.com/ taxonomy/97345854 prefLabel St. Mark’s Square altLabel Piazza San Marco http://www.mycom.com/taxonomy/4543567 prefLabel altLabel city square piazza has broader

9. The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Norway France Austria Canada doc Norway France Austria Canada doc Show me all documents about European countries Traditional approach Graph-based approach doc doc doc

10. The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway Europe, France Europe, Austria America, Canada doc Norway France Austria Canada doc Show me all documents from European countries Europe Traditional approach Graph-based approach Show me all documents about EU member countries doc doc doc

11. Norway France Austria Canada The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway EU, Europe, France EU, Europe, Austria America, Canada doc doc doc doc doc Show me all documents from European countries Europe Traditional approach Graph-based approach Show me all documents about EU member countries EU

12. Norway France Austria Canada The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway French, EU, Europe, France EU, Europe, Austria French, America, Canada doc doc doc doc doc Show me all documents from European countries Europe Traditional approach Graph-based approach Show me all documents about EU member countries French- speaking? French- speaking EU

13. Norway France Austria Canada The power of knowledge graphs: Agility, flexibility, complexity doc doc doc Europe, Norway French, EU, Europe, France EU, Europe, Austria French, America, Canada doc doc doc doc doc Show me all documents from European countries Europe Traditional approach Graph-based approach Show me all documents from EU member countries French- speaking? French- speaking EU Metadata per document Knowledge about metadata

14. Use Schema.org or other ontologies to extend your knowledge graph http://schema.org/City http://schema.org/TouristAttraction http://schema.org/ArtGallery http://www.mycom.com/ taxonomy/62346723 Venice prefLabel prefLabel St. Mark’s Square http://schema.org/containedIn http://schema.org/location Peggy Guggenheim Museum http://www.geonames.org/7302945 http://www.freebase.com/m/0q9rr http://dbpedia.org/resource/ Peggy_Guggenheim_Collection https://www.youtube.com/ VeniceGuggenheim http://www.mycom.com/ taxonomy/5456544 http://www.mycom.com/ taxonomy/7835488

15. Why it is useful...

16. Make use of text corpus analysis

17. Linking and mapping of vocabularies and knowledge graphs including semi-automatic batch-linking of taxonomies with other taxonomies or several knowledge graphs

18. Use PoolParty PowerTagging to integrate with Enterprise Content Systems Confluence Drupal SharePoint 2013

19. Semantic Search in SharePoint 2013 based on PoolParty PowerTagging Based on the search enrichment the following features are available: Autocomplete Additional search navigators based on thesaurus structure Query expansion All features can be configured (e.g. number of results for autocomplete) in the search web part configuration.

20. sOnr webMining for Confluence

21. sOnr webMining for Drupal Online-Demos: http://www.semantic-web.at/marketscan http://drupal.poolparty.biz/

22. PoolParty Applications & Demos Thesaurus Publishing Business Intelligence Content Recommendation Semantic Expert Finder Web Mining Semantic Search Semantic Tagging in SharePoint Symptom Checker

23. Get started! Try it out now. Get your PoolParty Thesaurus Server & Entity Extractor trial: http://www.poolparty.biz/test-demo/

24. Contact points & further information Andreas Blumauer, MSc IT [email protected] https://www.linkedin.com/in/andreasblumauer Semantic Web Company GmbH Mariahilfer Strasse 70/8, A-1070 Vienna [phone] http://www.semantic-web.at http://www.poolparty-software.com Social Media Channels http://slideshare.net/semwebcompany http://youtube.com/semwebcompany https://www.linkedin.com/groups?home=&gid=4059165

25. More Details...

26. PoolParty at a glance - Technical Overview user-friendly : create & maintain vocabularies standards-based : based on W3C standards graph-based : natively built on graph databases embedded in ecosystem : use of linked (open) data best-of-breed : text mining, taxonomies & ontologies enterprise-ready : secure, simple to install integrable : connectors for SharePoint, Drupal, Confluence, WordPress, … your own CMS?

27. PoolParty Semantic Integrator: Unified Views on various data sources based on

28. SKOS as a ‘backbone’ of knowledge graphs http://www.w3.org/2004/02/skos/

29. Benefit arguments Cost effectiveness The systemic view Operating efficiency Basic argument IT-Management / Software Architect Information & Knowledge Management Business Process Management Efficient and agile data model Better reuse of existing information resources helps to save costs Better understanding of relations between things increases communication skills Unified views on business objects lead to better decisions Higher information quality Efficient handling of metadata Increased transparency on inconsistencies and contradictions Information flows adapt to the needs of the user Improved information retrieval Automatic structuring of unstructured data help to save costs Consistent use of controlled vocabularies triggers additional network effects BI-like, complex queries become possible

30. PoolParty Thesaurus Server from a taxonomist’s perspective Comfortable browser-based user interface drag & drop autocomplete Rich import/export features Built-in corpus management Quality management Full-blown audit trails & workflow management From simple taxonomies over thesauri to ontologies Linking of taxonomies Linked Data interfaces Visual Browser

31. From simple taxonomies (SKOS) to ontologies: custom schema management

32. PowerTagging for SharePoint Technical outline The PowerTagging integration adds the following features: Automatic and manual tagging of SharePoint list items and uploaded documents Enrichment of the SharePoint search index based on the tagged content. The search index can be enriched by: labels of tagged concepts relations of tagged concepts and their labels (top concepts, broader concepts, related concepts)

33. PoolParty Search Server

34. Create business dashboards on the fly SELECT DISTINCT ?personname ?picture ?countryname ?hdi ?picture WHERE { ?person skos:prefLabel ?personname . ?country skos:prefLabel ?countryname . ?person a dbpedia:Person . ?country a dbpedia:Country . ?person skos:related ?country . ?country <http://dbpedia.org/property/hdi> ?hdi . FILTER ( ?hdi < 0.6) OPTIONAL { ?person foaf:depiction ?picture . } } ORDER BY DESC(?hdi) I want to explore medical research trends in relation to regional prosperity.

35. PoolParty Visual Mapping

36. PoolParty API navigate a thesaurus ( API documentation) retrieve schemes of a project show top concepts of a scheme describe a concept, get all the labels & relations search for concepts / autocomplete show concepts containing a string suggest new concepts integrate with a 3rd party content management system

37. PoolParty API Text Analytics via REST call or file upload API documentation Test form extract concepts categorize text http://mercury.poolparty.biz/ extractor/api/extract ?projectId=1DBC62BE-DB43-0001-279F-15301B94F230&language=en&numberOfTerms=0&text=... http://mercury.poolparty.biz / extractor/api/categorization ?projectId= 1DBC62BE-DB43-0001-279F-15301B94F230 &language=en&numberOfTerms=0&text=...