skos as the focal point of linked data strategies

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This talk was given at SEMANTiCS 2014 in Leipzig. It gives an overview how to develop an enterprise linked data strategy around controlled vocabularies based on SKOS. It discusses how knowledge graphs based on SKOS can extended step by step due to the needs of the organization.

TRANSCRIPT

SKOS as the focal point of linked data strategies

Andreas Blumauer, MSc IT

About Semantic Web Company (SWC)

SWC was founded 2001 in Vienna, Austria

Over 20 experts in linked data

technologies

Product: PoolParty Semantic Platform

Serving customers from three continents

EU- & US-based partner network

Our network: Customers & Partners

Customers● Credit Suisse● Daimler● Roche● Wolters Kluwer● Tieto● Red Bull Media House● World Bank Group● The Pokémon Company● Healthdirect Australia● Ministry of Finance (A)● Council of the E.U.● TC Media● American Physical Society● Education Services Australia● Wood Mackenzie● Pearson● Geological Survey (A)● Norwegian Direct. of

Immigration● REEEP● GBPN - Global Buildings

Performance Network● ...

Finance / Automotive / Publisher / Health Care / Public Administration / Energy / EducationPartners

● Cognizant● EPAM Systems● iQuest● DTI AG● Tenforce● OpenLink Software● Ontotext● Gravity Zero● Altotech● Wolters Kluwer● Term Management● Taxonomy Strategies● Search explained● WAND● Linked Data Factory● Taxonic● semweb● Digirati● KMSolutions

FAQs: How enterprises dive deeper into linked data technologies & methodologies

1. What is linked data?2. How do we benefit from it?

What are the use cases for linked data? 3. Will it replace our existing systems,

e.g. enterprise search?4. Can we reuse existing metadata, glossaries,

schemes & vocabularies?5. How can we integrate linked data into our DMS,

CMS, …6. Where should we start?

1. What is Linked Data? An enterprise perspective

Graphs everywhere...

Microsoft

Facebook

Google

Things are the key elements of graphs which open the doors to ‘smart data’

It’s all about things,not strings!

Add relations between things and link them with other knowledge graphs

http://www.mycom.com/taxonomy/6234672

http://www.mycom.com/taxonomy/9734585

http://www.mycom.com/taxonomy/4543567

is winner of

http://musicbrainz.org/artist/1036b808-f58c-4a3e-b461-a2c4492ecf1bhttps://twitter.com/nickiminajhttp://open.spotify.com/artist/0hCNtLu0JehylgoiP8L4Gh http://www.imdb.com/name/nm3747326/http://viaf.org/viaf/154110584http://www.youtube.com/user/NickiMinajAtVEVOhttp://dbpedia.org/resource/Nicki_Minajhttp://www.freebase.com/m/047sxrj

related

Harvest facts, references, images, videos, ….

persons

events

Link your knowledge graphs with your documents and data streams!

http://www.mycom.com/taxonomy/62346723

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Miley Cyrus

image

http://www.mycom.com/images/90546089

http://www.mycom.com/taxonomy/97345854

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Nicki Minaj

altLabel Onika Tanya Maraj

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MTV VideoMusic Award

VMA

2. How do we benefit from it?What are the use cases for linked data?

Benefit arguments

Cost effectiveness The systemic viewOperating 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

Use cases for linked data - 3 archetypical scenarios

Unified Views Contextual awareness BI-like, complex queries

http://reegle.info/countries http://www.eip-water.eu/ http://www.gbpn.org/

3. Will it replace our existing systems?

An architectural question

Things are everywhere!A four-layered information architecture

enterprise knowledge model

domain specificknowledge model

annotation &categorization

legacy data& documents

It won’t replace existing systems, but it will change the way apps are developed

Make conceptual model & the semantics of your data explicitly available

PoolParty Semantic Integrator:Unified Views on various data sources

based on

4. Can we reuse existing metadata? Glossaries, schemes & vocabularies

Revisiting the good old ‘ontology continuum’

Glossaries &Folksonomy

Taxonomy

Thesaurus

Ontology

SemanticExpressivity

How about linkability?

Is this really a continuum?

What do we need for text mining?

From CSV and Excel to Taxonomies

From Folksonomies to Taxonomies

Free terms (candidate terms) are extracted from document collections

… and asserted into thecontrolled vocabulary.

From Taxonomies to Ontologies: Start with SKOS...

… and apply ontologies

Linkability: Modularize knowledge graphs like you do with software!

SKOS is a ‘semantic interface’ to retrieve and link distributed content

EurovocWKD German labor law thesaurus

STW Thesaurus

DBpedia

5. How can we integrate linked data

into our systems?

PoolParty PowerTagging: integrate semantics in enterprise content systems

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 foranalyzes

uses API

6. Where should we start? Start SKOS, grow big!

SKOS is at the intersection of three disciplines and their paradigms

SKOS

librarians & taxonomists

data engineers &artificial intelligenceschemas &

ontologies taxonomies &classification

systems

text mining &data analytics

computational linguists & information managers

SKOS makes taxonomies/thesauri accessible, linkable & reusable

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

SKOS as a basis to visualize and browse semantic knowledge graphs

SKOS: You are not alone...

● Eurovoc (EU)● ESCO (EU)● Jurivoc (SUI)● ScoT (AUS)● Agrovoc (UN)● MeSH (US)● Getty Vocabularies (US)● GEMET (EEA)● GeoThesaurus (AT)● STW Economy (DE)● Polythematic SH (CZ)● Canadian Subject Headings (Can)● LCSH (US)● Worldbank Taxonomy (WBG)● Labor Law Germany Thesaurus (DE)● Reegle Thesaurus (REEEP)● Austrian Tax Law Thesaurus (AT)

● UNESCO Thesaurus (UN)● New York Times SH (US)● RAMEAU subject headings (FR)● TheSoz (DE)● The General Finnish Thesaurus (FIN)● NAL Thesaurus (US)● Social Semantic Web Thesaurus (AT)● Courts thesaurus (DE)● SITC-V4 (UN)● Google Product Taxonomy (US)● NAICS 2012 (US)● Common Procurement Vocabulary (ES)● UKAT UK Archival Thesaurus (UK)● NASA taxonomy (US)● IVOA astronomy vocabularies (UK)● IPTC News Codes (UK)● WAND taxonomies (US)

Provide integrated & interlinked views on all kind of information

The SKOS/Linked Data based approach for information integration

Transforming documents into SKOS based graphs

Annotating & categorising documents

SKOS based graph of concepts

Tree of categories & terms

Standards based ontologies applied to

SKOS based concept graphs

Schemas, classes, properties,

restrictions & rules

Let your documents become part of something bigger & make them smart!

Transforming documents into SKOS based graphs

Annotating & categorising documents

http://vocabulary.semantic-web.at/semweb/367

Tim Berners-Lee TimBL

skos:altLabelskos:prefLabel

Show me biographies of all computer scientists working for an organization located near Boston.

Start SKOS, grow big.

So Long, and Thanks for All the Links

Contact points & further information

Andreas Blumauer, MSc ITa.blumauer@semantic-web.athttp://at.linkedin.com/in/andreasblumauer/https://plus.google.com/115842492297705285184/

Semantic Web Company GmbHMariahilfer Strasse 70/8, A-1070 Vienna+43-1-4021235http://www.semantic-web.athttp://www.poolparty-software.comhttp://slideshare.net/semwebcompanyhttp://youtube.com/semwebcompany

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