How can I show the Linked Data Web to my grandma?semanticweb.kaist.ac.kr/workshop2011/presentation/2_Intro_axel.pdf · Amrapali J. Zaveri, doctoral student (2010), Life Science Data

LOD2 Seminar

Overview AKSW

Axel Ngonga

Creating Knowledge out of Interlinked Data

LOD2 Seminar 17.08.2011 Page 2 http://lod2.eu

• Second oldest university in Germany, founded 1409 (Heidelberg is 30 years older)

• Modelled after University of Prague (from which some faculty members withdrew to Leipzig after the Jan Hus crisis and the decree of Kutna Hora)

• Became a world-class institution of higher education and research during the 19th century

• Named 1953 Karl-Marx University during GDR time (till 1991)

• World-famous for Social Sciences, Journalism, Sports, Life Sciences and lately Computer Science ;-)

• Famous alumni: J. W. Goethe, Angela Merkel, Leibnitz, Heisenberg, Lessing, Gentscher, Wagner, Nietzsche, …

600 years



Founded 2006 • hosted by the chair for Business Information Systems (Prof. Klaus-Peter

Fähnrich) Affiliated with Institute for Applied Informatics (InfAI) • An-institute at Universität Leipzig • Combines competences and resources of 8 University chairs from

Computer Science and Economics faculties as well as industry and sponsors

AKSW’s aims: • Contributing to the advancement of science in Semantic Web,

Knowledge Engineering, Web Science, Software Engineering • Cost-efficient, high-impact R&D, which proves usefulness at an early

stage • Bridge the gap between research results and applications AKSW actively educates students in Semantic Technologies and serves the community by (co-) organizing events such as Conference on Social Semantic Web, I-Semantics, Triplification Challenge, SFSW workshop series etc.

Research Group “Agile Knowledge Engineering and Semantic Web”



Dr. Sören Auer, Head, everything currently especially DBpedia, Cofundos, Triplify Thomas Riechert, wiss. Mitarbeiter, Software Engineering and teaching Dr. Jens Lehmann, PostDoc (2010), Head of MOLE (Machine Learning, Ontology Engineering) Sebastian Dietzold, doctoral student, OntoWiki, xOperator, RDF-LDAP and Data integration Dr. Axel Ngonga, PostDoc (2009), Head of SIMBA (Knowledge Extraction, Link Discovery) Michael Martin, doctoral student (2008), Semantic Web Applications Sebastian Hellmann, doctoral student (2008), Machine Learning Jörg Unbehauen, doctoral student (2008), Software Engineering Philipp Frischmuth, doctoral student (2009), OntoWiki, Semantic Pingback Norman Heino, doctoral student (2009), OntoWiki, EvoPat Mohamed Morsey , doctoral student (2010), DBpedia, Benchmarking Timofey Ermilov, doctoral student (2010), OntoWiki, Mobile Applications Claus Stadler, doctoral student (2010), LinkedGeoData Amrapali J. Zaveri, doctoral student (2010), Life Science Data Integration Saeedeh Shekarpour, doctoral student (2010), Knowledge Retrieval Daniel Gerber, doctoral student(2011), Knowledge Extraction Nadine Jänicke, project management Alumni: Dr.-Ing. Muhammad Ahtisham Aslam, Ass. Prof. Permanently ca. 10 student assistants, bachelor/master/diplom students

AKSW Team



Research Group AKSW

AKSW Vorstellung

Agile Knowledge Engineering & Semantic Web Dr. Sören Auer

Cluster Emergent Semantics (ANTS)

Dr. Sören Auer

Dr. Sören Auer

Cluster Machine Learning & Ontology Engineering

(MOLE) Dr. Jens Lehmann

Cluster Semantic Abstraction (SIMBA)

Dr. Axel Ngonga

•Thomas Riechert •Sebastian Dietzold •Michael Martin •Jörg Unbehauen •Philipp Frischmuth •Timofey Ermilov

•Jens Lehmann •Mohamed Mabrouk •Lorenz Bühmann •Amrapali J. Zaveri •Claus Stadler •Sebastian Hellmann

•Axel Ngonga •Norman Heino •Saeedeh Sherkapour •Daniel Gerber •Rene Speck •Stanley Hillner



LOD2: - Creating Knowledge out of Interlinked Data

Integrated Project, 48 months / 2010-2014

Funding agency: European Union FP7 / Research

Participants: AKSW, KAIST, OpenLink, Semantic Web Company, FU Berlin, …

SCMS: – Semantic Content Management Systems for Enterprise Knowledge Management and News Mining Cooperative research project; 33 months / 2009-2012 Funding agency: Eurostars / Research Participants: AKSW, Semantic Web Company, Digital Trowel, OpenLink Software Ltd.,

Netresearch

LATC – Linking Around The Clock

Support Action, 24 months / 2010-2012

Funding agency: European Union FP7 / Research

Participants: AKSW, FU Berlin, DERI, Talis, Vrije Universiteit Amsterdam

AKSW Funded Projects

AKSW Vorstellung



OntoWiki: – Semantic Collaboration for Knowledge Management, E-Learning and E-Tourism Cooperative research project; 24 month / 2008-2010 Funding agency: European Union FP7 / Research for the benefit of the SME program Participants: OpenLink Software Ltd., Business Intelligence GmbH, B2 d.o.o., Vakantieland LE4SW - Regionale Technologieplattform OntoWiki für soziale, semantische Kollaboration Cooperative research project; 24 month / 2009-2011 Funding agency: BmbF (German Ministry for Education and Research), Programme

“Regionale Wachstumskerne / Potential” Participants: Universität Leipzig, Business Intelligence GmbH, Netresearch GmbH & Co. KG,

Ebrosia GmbH

SoftWiki: End-user driven, distributed Requirements Engineering for agile Software Development Cooperative research project; 42 months / 2006-2009 Funding agency: BmbF (German Ministry for Education and Research) Participants: Universität Duisburg-Essen, T-Systems MMS, ProDV AG, LeCoS GmbH, QA

Systems GmbH, ISA Tools GmbH

Vakantieland – Semantic Collaboration Platform for Tourist Information Industry / public funding; 36 months / 2006-2008 Funding agency: SenterNovem (Dutch Ministry of Economic Affairs) Participants: Universität Leipzig, Vakantieland

AKSW Funded Projects

AKSW Vorstellung



DBpedia “Semantification” of Wikipedia

AKSW Data Web Building Blocks

Triplify “Semantification” of (small) Web Applications

OntoWiki Collaborative creation of explicit knowledge via Semantic Wikis

LIMES Generic Link Discovery Framework

Vakantieland Building Data Web applications

SoftWiki Distributed, stakeholder driven Requirements Engineering

Foundations Tools

Applications Bringing the Data Web to end users

FOX Federated Knowledge Extraction Framework

xOperator Combining Instant Messaging with the Data Web

OpenResearch.org A semantic Wiki for the sciences

…

DL-Learner Machine Learning for Ontologies

Catalogus Professorum Prosopographical knowledge base

LinkedGeoData “Semantification” of OpenStreetMaps

BOA Bootstrapping Linked Data

RDB2RDF Mapping relational data to RDF



Semantic Leipzig

Knowledge Management

Logical Foundations & Reasoning

Service Engineering & Management

Machine Learning & Text Mining

Semantic Web Infrastructure

Semantic Search

Social Software & Web 2.0

eGovernment

Applied Research

Technology Transfer

Business Scenarios

Applied Research

Product Development

Basic Research

Applied Research



Partners



Master Module (with Prof. Brewka): Semantic Web

LSM Master Studies in: “Content- & Media Engineering” M1: Medienproduktion (GMP)

M2: Web-Technologien (WT)

M3: Content- und Wissensmanagement-Systeme (CWM)

M4: Crossmediale Produktion (CP)

M5: Medienwirtschaft und Medienmanagement (MW)

M6: Projektarbeit (PA)

M7: E-Business (EB)

http://www.leipzigschoolofmedia.de/

Teaching

http://www.leipzigschoolofmedia.de/master-content-and-media-engineering/inhalte/master-content-and-media-engineering/inhalte/modul-1-cme/




















Conferences



LOD2 Overview



Achievements 1. Extension of the Web with a

data commons (28 B 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.

LOD achievements and challenges

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: Missing direct end-user tools and network effect

These issues are closely related and need to be treated in an integrated, holistic fashion – LOD2 ;-)

• 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



LOD2 in a Nutshell

15

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

Partners Uni Leipzig, DERI Galway,

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



LOD Improvement Cycle

Thank You! Questions?



Outreach, Awareness, Community building •Community •Media & News • Industry

Dataset Complementation •LODSS

Teaching •LOD2 Summer Schools

Standardization •W3C groups

Orthogonal Project Tasks



LOD2 Workpackages



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 Personalization o individual mashups of data with other sources o Notification/subscription service based on personal prefs o Transparency wishlists, upload revisions, derivates o create and publish queries, reports and visualizations

20

Dataset Usage Data Provider Eurostat Public 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



LOD Risks: • Quality, availability • Performance • Complexity LOD Chances: • Changing the Web • Establish LOD as research area in its own right • LOD2 as crystallization point for further projects

(Commercial and research) If we just do what’s written in the DoW we won’t

succeed

Conclusion: High Risk / High Gain



Thanks for your attention!

Axel Ngonga

http://aksw.org | http://lod2.org

[email protected]

http://aksw.org/

http://lod2.org/

Documents

How can I show the Linked Data Web to my grandma?semanticweb.kaist.ac.kr/workshop2011/presentation/2_Intro_axel.pdf · Amrapali J. Zaveri, doctoral student (2010), Life Science Data