PoolParty Semantic Suite - Solutions for Sustainable Development

transcript

Webinar: PoolParty for Sustainable

Development: The Climate Tagger

Welcome!

Martin KaltenböckManaging Partner & CFOSemantic Web Company

About Semantic Web Company (SWC)

SWC was founded 2001, head-quartered in Vienna

25 experts in linked data technologies

Product: PoolParty Suite (launched 2009)

Serving customers from all over the world

EU- & US-based consulting services

Our Ecosystem: Customers & PartnersSome of our Customers

World Bank GroupInter-American Development Bank (IADB)Renewable Energy & EE Partnership

(REEEP)Development Initiatives (DI, UK)International Atomic Energy Agency

(IAEA)Climate Technology Network (CTCN)C2E2, DTU – UN PartnershipMinistry of Finance (A)Council of the E.U.European Commission (several DGs)BMU & GIZ Global Buildings Performance Network

(GBPN)European Innovation Partnership on Water

Canadian Broadcasting Corporation (CBC)Red Bull Media HouseWolters KluwerBMJ Publishing GroupPearson - Always LearningEducation Services AustraliaHealthdirect Australia

Finance / Automotive / Publisher / Health Care / Public Administration / Energy / EducationSelected Partners

PwC (EU, US)EPAM Systems (DE)iQuest (RU)EBCONT (AT)Gravity Zero (US)MarkLogic (US, EU)OpenLink Software (UK, US)Ontotext (BU)Wolters Kluwer (worldwide)Data to Value (UK)Digirati (UK)Term Management (US)Altotech (FI)

Open Knowledge (Foundation)Open Data Institute, The ODI

(UK)Fraunhofer IAIS (DE)University of Leipzig (DE)Demokritos (GR)University of Economics (AT)INSIGHT / DERI Galway (IRL)

We are all working on thereplacement of data

chaos by an information network

See how it works...

‘Things’ but not strings: Building a ‘semantic knowledge graph’

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The power of knowledge graphs: Agility, flexibility, complexity

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Norway France Austria Canada

Show me all documents about

European countriesTraditional approach Graph-based

approach

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The power of knowledge graphs:Agility, flexibility, complexity

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Europe,Norway

Europe,France

Europe,Austria

America,Canada

European countries

Europe

Traditional approach Graph-based approach

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Europe,Norway

Europe,France

Europe,Austria

America,Canada

European countries

Europe

Show me all documents about EU member

countries

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Europe,Norway

E.U,Europe,France

E.U,Europe,Austria

America,Canada

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European countries

Europe

Show me all documents about EU

member countries

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Europe,Norway

French,EU,

Europe,France

EU,Europe,Austria

French,America,Canada

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European countries

Europe

Show me all documents about EU

member countries

French-speaking?

French-speaking

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Europe,Norway

French,EU,

Europe,France

EU,Europe,Austria

French,America,Canada

doc doc doc doc doc

European countries

Europe

Show me all documents from EU member countries

French-speaking?

French-speaking

Metadata per document

1. No or little network effects

2. No reuse of metadata3. Metadata resides in silos4. Data quality hard to

measure5. Not machine-readable

Knowledge about metadata

1. Explicit knowledge models2. Reusable and measurable3. Metadata is machine-

processable4. Standards-based metadata5. Linkable metadata opens silos

SKOS as a ‘backbone’ of knowledge graphs

http://www.w3.org/2004/02/skos/

PoolParty core components

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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 ofContentManager

enrich annotate

basis foranalyzesuses API

PoolParty core components

Create and maintaintaxonomies and knowledge graphs

“URIfication” of all types of things

Linking and mapping between taxonomies and various graphs

Access and integrate knowledge graphs via API (Read/Write)

Support of collaborative workflows around taxonomy management

RDFization of text

Extraction of ‘things’ (entities) from text based on graphs

Extraction of (free) terms and phrases from any kind of text

Categorization of documents

Ultra-fast auto completion based on controlled vocabularies

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

URI-based Semantic Indexing

Faceted search based on taxonomies

Content recommender services

PoolParty - Technical Architecture

Why it is useful... For whom…

Success story: EIP Water Marketplace

Success story: The World Bank

Success story: GBPN Prediction Tool

Success story: Council of European Union

Success story: Healthdirect Australia

Over 120 information partners and sources

Great variety of category and metadata systems

One central vocabulary hub:Australian Health Thesaurus (AHT)

Single point of access incl. harmonized search facets:

http://www.healthdirect.gov.au/

Success story: CTCN Matchmaking Assistant

Success story: REEEP Climate Tagger

Five more reasons to get started with PoolParty. Try it out now!

Get your PoolParty 5 Thesaurus Server & Entity Extractor trial:http://www.poolparty.biz/test-demo/

Contact points & further information

Martin Kaltenböck, m.kaltenboeck@semantic-web.at

Semantic Web Company GmbHMariahilfer Strasse 70/8, A-1070 Vienna+43-1-4021235http://www.semantic-web.athttp://www.poolparty.biz http://blog.semantic-web.at

Social Media Channelshttp://slideshare.net/semwebcompanyhttp://youtube.com/semwebcompany https://www.linkedin.com/groups?home=&gid=4059165

More Details...

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

PoolParty at a glance - Technical Overview

user-friendly: create & maintain vocabulariesstandards-based: based on W3C standardsgraph-based: natively built on graph databasesembedded in ecosystem: use of linked (open)

databest-of-breed: text mining, taxonomies &

ontologiesenterprise-ready: secure, simple to installintegrable: connectors for SharePoint, Drupal,

Confluence, WordPress, … your own CMS?

Benefit argumentsCost 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 informati

on 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

PoolParty Semantic Suite - Solutions for Sustainable Development

Data & Analytics