the semantic data web, sören auer, university of leipzig

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The Semantic Data Web Sören Auer

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Presentation: The Semantic Data Web by Sören Auer of University of Leipzig at the Semantics & Media Conference in Mainz in July 2011

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Page 1: The Semantic Data Web, Sören Auer, University of Leipzig

The Semantic Data Web

Sören Auer

Page 2: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 2 http://lod2.eu

Web server

Web server

Problem: Try to search for these things on the current Web:

• Apartments near German-Russian bilingual childcare in Berlin.

• ERP service providers with offices in Vienna and London.

• Researchers working on multimedia topics in Eastern Europe.

Information is available on the Web, but opaque to current search.

Why Semantic Data Web?

berlin.deHas everything about childcare in Berlin.

Immobilienscout.deKnows all about real estate offers in GermanyDB

Web server

DB

Web server

Search engineHTML HTML

RDF RDF

Solution: complement text on Web pages with structured linked open data & intelligently combine/integrate such structured information from different sources:

Page 3: The Semantic Data Web, Sören Auer, University of Leipzig

Vom Web der Dokumente zumSemantic Data Web

Web (since 1992)• HTTP• HTML/CSS/JavaScript

Semantic Web(Vision 1998, starting ???)• Reasoning• Logic, Rules• Trust

Social Web (since 2003)• Folksonomies/Tagging• Reputation, sharing• Groups, relationships

Data Web (since 2006)• URI de-referencability• Web Data integration• RDF serializations

Page 4: The Semantic Data Web, Sören Auer, University of Leipzig

Web 1.0 Web 2.0 Web 3.0

Many Web sitescontaining unstructured,textual content

Few large Web sites are specialized onspecific content types

Many Web sites containing & semantically syndicating arbitrarily structured content

PicturesVideo

Encyclopedicarticles+ +

Page 5: The Semantic Data Web, Sören Auer, University of Leipzig

The Long Tail of Information DomainsPictures

NewsVideo

Recipes

Calendar

Currently supportedstructuredcontent types

SemWeb supported structured content

Genesequences

Itinerary ofKing George

Talentmanagement

Popu

larit

y

Not or insufficiently supported content types

The Long Tail by Chris Anderson (Wired, Oct. ´04) adopted to information domains

… …

Requirements-Engineering

……

Special interestcommunities

Page 6: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 6 http://lod2.eu

1. Uses RDF Data Model

Linked Data Web Technology

Semedia2011

Mainz

14.7.2011

Uni Mainzorganizes

takesPlaceAt

takesPlaceIn

2. Is serialised in triples:UniMainz organizes SeMedia2011SeMedia2011 takesPlaceAt “20110714”^^xsd:dateSeMedia2011 takesPlaceAt Mainz

3. Uses Content-negotiation

Page 7: The Semantic Data Web, Sören Auer, University of Leipzig

The emerging Web of Data

20082007

20082008

20082009

2009

Virtouso

SemMF

SILK

poolparty

DL-Learner

Sindice

Sigma

ORE

OntoWiki

MonetDB

DXX Engine

WiQA

repair

interlink

fuse

classify

enrich

create

Page 8: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 8 http://lod2.eu

Achievements1. Extension of the Web with

a data commons (25B facts

2. vibrant, global RTD community

3. Industrial uptake begins (e.g. BBC, Thomson Reuters, Eli Lilly)

4. Emerging governmental adoption in sight

5. Establishing Linked Data as a deployment path for the Semantic Web.

What works now? What has to be done?

Challenges

1. Coherence: Relatively few, expensively maintained links

2. Quality: partly low quality data and inconsistencies

3. Performance: Still substantial penalties compared to relational

4. Data consumption: large-scale processing, schema mapping and data fusion still in its infancy

5. Usability: Establishing direct end-user tools and network effect

• Web - a global, distributed platform for data, information and knowledge integration• exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web

using URIs and RDF

July 2007 April 2008 September 2008

July 2009

Page 9: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 9 http://lod2.eu

Inter-linking/ Fusing

Classifi-cation/

Enrichment

Quality Analysis

Evolution / Repair

Search/ Browsing/

Exploration

Extraction

Storage/ Querying

Manual revision/ authoring

Linked DataLifecycle

Page 10: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 10 http://lod2.euExtraction

Page 11: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 11 http://lod2.eu

From unstructured sources

• NLP, text mining, annotation

From semi-structured sources

• DBpedia, LinkedGeoData,

SCOVO/DataCube

From structured sources

• RDB2RDF

Extraction

Page 12: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 12 http://lod2.eu

extract structured information from Wikipedia

& make this information available on the Web as

LOD:• ask sophisticated queries against Wikipedia (e.g.

universities in brandenburg, mayors of elevated towns,

soccer players),

• link other data sets on the Web to Wikipedia data

• Represents a community consensus

Recently launched DBpedia Live transforms

Wikipedia into a structred knowledge base

Transforming Wikipedia into an Knowledge Base

Page 13: The Semantic Data Web, Sören Auer, University of Leipzig

Structure in Wikipedia

• Title• Abstract• Infoboxes• Geo-coordinates• Categories• Images• Links

– other language versions– other Wikipedia pages– To the Web– Redirects– Disambiguations12.04.2023 Sören Auer - The emerging Web of Linked Data 13

Page 14: The Semantic Data Web, Sören Auer, University of Leipzig

Infobox templates{{Infobox Korean settlement| title = Busan Metropolitan City| img = Busan.jpg| imgcaption = A view of the [[Geumjeong]] district in Busan| hangul = 부산 광역시...| area_km2 = 763.46| pop = 3635389| popyear = 2006| mayor = Hur Nam-sik| divs = 15 wards (Gu), 1 county (Gun)| region = [[Yeongnam]]| dialect = [[Gyeongsang]]}}

http://dbpedia.org/resource/Busan

dbp:Busan dbpp:title ″Busan Metropolitan City″dbp:Busan dbpp:hangul ″ 부산 광역시″ @Hangdbp:Busan dbpp:area_km2 ″763.46“^xsd:floatdbp:Busan dbpp:pop ″3635389“^xsd:intdbp:Busan dbpp:region dbp:Yeongnamdbp:Busan dbpp:dialect dbp:Gyeongsang...

Wikitext-Syntax

RDF representation

12.04.2023 Sören Auer - The emerging Web of Linked Data 14

Page 15: The Semantic Data Web, Sören Auer, University of Leipzig

A vast multi-lingual, multi-domain knowledge base

DBpedia extraction results in:• descriptions of ca. 3.4 million things (1.5 million classified in a consistent ontology, including

312,000 persons, 413,000 places, 94,000 music albums, 49,000 films, 15,000 video games, 140,000 organizations, 146,000 species, 4,600 diseases

• labels and abstracts for these 3.2 million things in up to 92 different languages; 1,460,000 links to images and 5,543,000 links to external web pages; 4,887,000 external links into other RDF datasets, 565,000 Wikipedia categories, and 75,000 YAGO categories

• altogether over 1 billion pieces of information (i.e. RDF triples): 257M from English edition, 766M from other language editions

DBpedia made a substantial impact in science, technology and society• DBpedia became the central interlinking hub on the Data Web• Scientific publications attracted more than 500 citations• More than 15.000 monthly visits on DBpedia.org,

numerous press articles, blog posts …• Ecosystem of commercial and community applications:

ThomsonReuters, BBC, Neofonie, Openlink, Faviki …

Motivates further research need wrt. scalability, quality12.04.2023 Sören Auer - The emerging Web of Linked Data 15

Page 16: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 16 http://lod2.eu

Many different approaches (D2R, Virtuoso

RDF Views, Triplify, …)

No agreement on a formal

semantics of RDF2RDF

mapping

• LOD readiness,

SPARQL-SQL translation

W3C RDB2RDF WG

Extraction Relational Data

Tool Triplify D2RQ Virtuoso RDF Views

TechnologyScripting

languages (PHP)

JavaWhole

middleware solution

SPARQL endpoint - X X

Mapping language SQL RDF based RDF based

Mapping generation Manual Semi-

automatic Manual

ScalabilityMedium-high

(but no SPARQL)

Medium High

Page 17: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 17 http://lod2.eu

From unstructured sources

• Deploy existing NLP approaches (OpenCalais, Ontos API)

• Develop standardized, LOD enabled interfaces between NLP tools

(NLP2RDF)

From semi-structured sources

• Efficient bi-directional synchronization

From structured sources

• Declarative syntax and semantics of data model transformations

(W3C WG RDB2RDF)

Orthogonal challenges

• Using LOD as background knowledge

• Provenance

Extraction Challenges

Page 18: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 18 http://lod2.euStorage and Querying

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Creating Knowledge out of Interlinked Data

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Still by a factor 5-50 slower than relational data

management (BSBM)

Performance increases steadily

Comprehensive, well-supported open-soure and commercial

implementations are available:• OpenLink’s Virtuoso (os+commercial)

• Big OWLIM (commercial), Swift OWLIM (os)

• 4store (os)

• Talis (hosted)

• Bigdata (distributed)

• Allegrograph (commercial)

• Mulgara (os)

RDF Data Management

Page 20: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 20 http://lod2.eu

• Reduce the performance gap between

relational and RDF data management

• SPARQL Query extensions• Spatial/semantic/temporal data management

• More advanced query result caching

• View maintenance / adaptive reorganization

based on common access patterns

• More realistic benchmarks

Storage and Querying Challenges

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Creating Knowledge out of Interlinked Data

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Authoring

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Creating Knowledge out of Interlinked Data

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1. Semantic (Text)

Wikis

• Authoring of

semantically

annotated texts

2. Semantic Data

Wikis

• Direct authoring of

structured information

(i.e. RDF, RDF-

Schema, OWL)

Two Kinds of Semantic Wikis

Page 23: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

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Versatile domain-independent tool

Serves as Linked Data / SPARQL endpoint on the Data Web

Open-source project hosted at Google code

Not just a Wiki UI, but a whole framework for the development

of Semantic Web applications

Developed in PHP based on the Zend framework

Very active developer and user community

More than 500 downloads monthly

Large number of use cases

Management of multimedia content for a record label in the UK

OntoWiki – a semantic data wiki

Page 24: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 24 http://lod2.eu

Ont

oWik

iDynamische Sichten auf die Wissensbasis

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Page 25: The Semantic Data Web, Sören Auer, University of Leipzig

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OntoWiki

RDF-Triple auf Resourcen-Detailseite

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OntoWiki

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Dynamische Vorschläge aus dem Daten Web

Page 27: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

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RDFauthor in OntoWiki

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OntoWiki: Caucasian Spiders

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Creating Knowledge out of Interlinked Data

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OntoWiki: Supporting Requirements engineering

Page 30: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

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Semantic Portal with OntoWiki: Vakantieland

Page 31: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 31 http://lod2.eu© CC-BY-NC-ND by ~Dezz~ (residae on flickr)

Linking

Page 32: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 32 http://lod2.eu

Automatic

Semi-automatic• SILK

• LIMES

Manual• Sindice integration into UIs

• Semantic Pingback

LOD Linking

Page 33: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 33 http://lod2.eu

update and notification services for LOD

Downward compatible with Pingback (blogosphere)

http://aksw.org/Projects/SemanticPingBack

Creating a network effect aroundLinking Data: Semantic Pingback

Page 34: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 34 http://lod2.eu

Visualizing Pingbacks in OntoWiki

Page 35: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 35 http://lod2.eu

Only 5% of the information on the Data Web is actually

linked

• Make sense of work in the de-duplication/record linkage

literature

• Consider the open world nature of Linked Data

• Use LOD background knowledge

• Zero-configuration linking

• Explore active learning approaches, which integrate users in a

feedback loop

• Maintain a 24/7 linking service: Linked Open Data Around-The-

Clock project (LATC-project.eu)

Interlinking Challenges

Page 36: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 36 http://lod2.eu

Enrichment

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Sören Auer – The Semantic Data Web 14.7.2011 Page 37 http://lod2.eu

Linked Data is mainly instance data and !!!

ORE (Ontology Repair and Enrichment) tool allows to improve an

OWL ontology by fixing inconsistencies & making suggestions for

adding further axioms.• Ontology Debugging: OWL reasoning to detect inconsistencies and

satisfiable classes + detect the most likely sources for the problems.

user can create a repair plan, while maintaining full control.

• Ontology Enrichment: uses the DL-Learner framework to suggest

definitions & super classes for existing classes in the KB. works if

instance data is available for harmonising schema and data.

http://aksw.org/Projects/ORE

Enrichment & Repair

Page 38: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 38 http://lod2.euAnalysis

Quality

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Creating Knowledge out of Interlinked Data

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Quality on the Data Web is varying a lot• Hand crafted or expensively curated

knowledge base (e.g. DBLP, UMLS) vs.

extracted from text or Web 2.0 sources

(DBpedia)

Research Challenge• Establish measures for assessing the authority,

provenance, reliability of Data Web resources

Linked Data Quality Analysis

Page 40: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 40 http://lod2.euEvolution

© CC-BY-SA by alasis on flickr)

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Sören Auer – The Semantic Data Web 14.7.2011 Page 41 http://lod2.eu

• unified method, for both data evolution and ontology refactoring.

• modularized, declarative definition of evolution patterns is relatively

simple compared to an imperative description of evolution• allows domain experts and knowledge engineers to amend the ontology

structure and modify data with just a few clicks

• Combined with RDF representation of evolution patterns and their

exposure on the Linked Data Web, EvoPat facilitates the development

of an evolution pattern ecosystem• patterns can be shared and reused on the Data Web.

• declarative definition of bad smells and corresponding evolution

patterns promotes the (semi-)automatic improvement of

information quality.

EvoPat – Pattern based KB Evolution

Page 42: The Semantic Data Web, Sören Auer, University of Leipzig

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Evolution Patterns

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Page 44: The Semantic Data Web, Sören Auer, University of Leipzig

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Sören Auer – The Semantic Data Web 14.7.2011 Page 44 http://lod2.eu

Exploration

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Creating Knowledge out of Interlinked Data

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Catalogus Professorum Lipsiensis

Page 46: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 46 http://lod2.eu

Visual Query Builder

Page 47: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

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Relationship Finder in CPL

Page 48: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 48 http://lod2.eu

PublicData.eu

Page 49: The Semantic Data Web, Sören Auer, University of Leipzig

http://fintrans.publicdata.eu

Page 50: The Semantic Data Web, Sören Auer, University of Leipzig

http://energy.publicdata.eu

Page 51: The Semantic Data Web, Sören Auer, University of Leipzig

http://scoreboard.lod2.eu

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Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 52 http://lod2.eu

Anwendung BBC Music

39 meist besuchte WebseiteIntegriert verschiedenste Linked Data Quellen (DBpedia, Musicbrainz,

Geonames)

Page 53: The Semantic Data Web, Sören Auer, University of Leipzig

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Sören Auer – The Semantic Data Web 14.7.2011 Page 53 http://lod2.eu

Inter-linking/ Fusing

Classifi-cation/

Enrichment

Quality Analysis

Evolution / Repair

Search/ Browsing/

Exploration

Extraction

Storage/ Querying

Manual revision/ authoring

LOD Lifecyclesupported byDebian basedLOD2 Stack

(to be released in September)

Page 54: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 54 http://lod2.eu

• Linked Data is relatively simple to use

• The LOD ecosystem comprises extraction, authoring,

enrichment, exploration & search

• More work has to be done to bring various bits and

pieces together• Debian based LOD2 Stack faciliates managing the LOD life

cycle

• CKAN.net will evolve into a registry tor datasets,

visualizations, apps, wrappers, mashups, ..

• Linked Data is a perfect technology for Media

applications

Take home messages

Page 55: The Semantic Data Web, Sören Auer, University of Leipzig

Creating Knowledge out of Interlinked Data

Sören Auer – The Semantic Data Web 14.7.2011 Page 55 http://lod2.eu

Thanks for your attention!

Sören Auerhttp://www.informatik.uni-leipzig.de/~auer/ | http://aksw.org |

http://[email protected]

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12.04.2023

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DBpedia“Semantification” ofWikipedia

AKSW Data Web Building Blocks

Triplify“Semantification” of (small) Web Applications

OntoWikiCollaborative creation of explicit knowledge via Semantic Wikis

LIMESLink Discovery Frameworkfor metric spaces)

VakantielandBuilding Data Web applications

SoftWikiDistributed, stakeholder driven Requirements Engineering

FoundationsMarrying databases with RDFand ontologies

Tools ApplicationsBringing the Data Web to end users

RDF Query Subsumption & View MaintenanceScaling triple stores

xOperatorCombining Instant Messaging with the Data Web

OpenResearch.orgA semantic Wiki for the sciences

DL-LearnerMachine Learning for Ontologies

Catalogus ProfessorumProsopographical knowledge base

LinkedGeoData“Semantification” of OpenStreetMaps

LESSSemantification Syndication

RDB2RDFMapping relational data to RDF

OREOntology Enrichment & Repair

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LOD2 in a Nutshell

57

Research focus• Very large RDF data

management• Enrichment &

Interlinking• Fusion & Information

Quality• Adaptive UI interfaces

Use Cases• Media & Publishing• Enterprise Data Webs• Open Gov Data

PartnersUni Leipzig, DERI Galway,

FU Berlin, Semantic Web Company, OpenLink, Tenforce, Exalead, Wolters Kluwer, OKFN

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Open Governmental Data –and ideal testbed for Linked Data?

Close cooperation with W3C eGov IG, OKFN’s OpenEUdata, PSI & grassroots efforts

CKAN.org | OKFN’s EuOpenData group |ICT2010 Networking Session

UIs and Personalizationo individual mashups of data with other sourceso Notification/subscription service based on personal prefso Transparency wishlists, upload revisions, derivateso create and publish queries, reports and visualizations

58

Dataset Usage Data ProviderEurostatPublic Opinion Interlink with DBpedia and UK eGov data Statistical Office

DG Communication

CORDIS Interlinked with projects, publications and researchers Publication Office

Job Mobility Portal / European Career Interlinked with UK eGov data EURES, EPSO

TED – Tenders electronic Daily Interlink with national company registries Publication Office

National datasets Road traffic usage, edubase, national statistics Data.gov.uk

… … …

European registry & collaboration platform for open governmental data Outreach & involve original data providers - local, regional, national and European

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1. Linked Enterprise Intra Data Webs can fill the gap

between Intra-/Extranets and EIS/ERP

2. Facilitates data integration along value-chains within

and across enterprises

3. The pragmatic, incremental, vocabulary based Linked

Data approach reduces data integration costs

significantly

4. The wealth of knowledge available as Linked Open

Data can be leveraged as background knowledge

for Enterprise applications

Linked Enterprise Data