LOD2 General Presentation 2012

Creating Knowledge out of Interlinked Data

Intelligent Information Management
Collaborative Project 2010-2014
in Information and Communication Technologies

Project No. 257943
Start Date 01/09/2010

http://lod2.eu
EU-FP7 LOD2 Project Overview . 02.09.2010 . Page 1 http://lod2.eu


The Emerging Web of Data: Achievements and Challenges

 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
Achievements Challenges
1. Extension of the Web with a 1. Coherence: Relatively few,
data commons (currently expensively maintained links
amounting to 25 Bn. facts) 2. Quality: partly low-quality data
July 2007 April 2008 September 2008
2. Vibrant, global RTD and inconsistencies
community 3. Performance: Still substantial
penalties compared to relational
3. Industrial uptake begins
4. Data Consumption: large-scale
(e.g. BBC, Thomson Reuters,
processing, schema mapping
Eli Lilly)
and data fusion still in its infancy
4. Emerging governmental 5. Usability: Missing direct end-
adoption in sight user tools and network effect
5. Establishing Linked Data as
a deployment path for the These issues are closely related
Semantic Web. and should ultimately lead to an
eco-system of interlinked
July 2009 knowledge!



LOD2 in a Nutshell (1)
Research Focus
 very large RDF data
management
 knowledge enrichment &
interlinking
 fusion & information
quality
 adaptive, semantic user interfaces

Use Cases
 Media & Publishing
 Enterprise Data Webs
 Open Gov Data
 Public Sector Contracts

Main Result
 integrated LOD2 Stack for Linked
Data lifecycle management

Partners
ULEI, CWI, NUIG, FUB/UMA, SWCG,
OGL, Tenforce, Exalead, WKD, OKFN,
UEP, ZEM, I2G, IMP, KAIST



LOD2 in a Nutshell (2)

LOD2
EC-funded collabarotive project that aims to utilize the Web as an integration platform for data
and information

Linked Data
Linked Data provides the necessary basic technologies and standards to realize the goal of LOD2.

Linked Open Data
publicly accessible data which is to be integrated into the web and linked among one another
and with non-public contents such as enterprise intranets

Project Highlights
Open Government Linked Data Initiative
Common European platform publicdata.eu

Leading Web 3.0 technologies are combined in the project into the coherent LOD2 Stack (e.g.
DBpedia, Virtuoso, Sindice, Silk)



WP1: Requirements, Design & LOD2 Stack Prototype

Use Case High-Level Abstraction



WP1: Use Case Objectives
Objective of WP8:
Applying Linked Data technologies in an enterprise stack
to support Human Resources-related issues.

ENTERPRISE
APPLICATIONS

(Exalead)

Objective of WP7: MEDIA OPEN Objective of WP9:
& GOVERNMENT
Supporting content-related PUBLISHING DATA Improving accessibility, findability
production workflows in the and reusability of Open
media & publishing industry. (Wolters (Open Government Data.
Kluwer Knowledge
Germany) Foundation)



WP2: Storing & Querying very Large Knowledge Bases
MonetDB as advanced experimentation platform
first RDF enabled prototype released Aug2012
Goal:
 Enabling large-scale, feature-rich & enterprise-ready Linked Data
management solutions
V7: Vectorized Column-Store (a la CWI)
Database Partners in LOD2: Full release in 2012

 CWI - Leading open source analytics RDBMS
 OGL - Leading linked data deployment platform

Technological Excellence: LOD2 spawned the LOD Benchmark Council
LDBCouncil.org
 Creating and publishing metrics for choosing RDF solutions starts Oct 2012
 Bringing Column Store Technology for Business Intelligence on RDF
 Ground-breaking database innovations for RDF stores
(Dynamic Query Optimization, Adaptive Caching of Joins, Optimized Graph
Processing, Cluster/Cloud Scalability) Six papers published on RDF column stores, large-scale query
processing, benchmarking (1 EDBT, 1 IEEE DEBULL, 3 ISWC, 1TPCTC)



WP2: Linked Open Data for Real in Your Apps

Business Advantages:
 Enrich your application with (free & rich) Linked Open Data
 RDF store technology has lower deployment costs than relational for “ragged” (untidy) data

Technological Flexibility:
 Deliver schema-last flexibility and inference at relational data warehouse cost and performance
 Grow as you go: LOD2 platform dynamically adapts to your usage patterns and structure of your data
 Integrate, resolve, align anything: schema, instance identity

Rich Features for Complex Applications:
 Advanced SPARQL and SQL query processing
 SPARQL and SQL federation Virtuoso V7: much more compact, much faster

 Full text, geospatial, text search
Virtuoso Cluster V7: Distributed Asynchronous Queues (DAQ)
 Scale-out on clusters, replication recursive, function-shipping declarative cluster programming



WP3: Goals

General Goal:
 Extraction, Enrichment, Repair (EER) of knowledge bases

Focus:
 very large knowledge bases, diverse knowledge, web data
 refine existing (Virtuoso Sponger, RDF Views, Triplify, D2R) triplification approaches
 improve schema of knowledge based on data
 fix problems in knowledge bases, e.g. inconsistencies

Techniques:
 semi-automatic machine learning, ontology debugging, NLP, shallow parsing,etc.



WP3: Knowledge Base Improvement Cycle

Mutual Refinement Cycle
(with optional Extraction phase)
Modelling
Problems

Repair

Performance
Problems

Disjoint-
Semi- ness
Structured Definitions
structured
Extraction Enrichment

Un- Linkage
structured Validation



WP3: Multilingual Support for Information Extraction

Standard information extraction techniques can be used to extract the information from
documents in different natural languages, but the use of available linguistic resources (e.g.
electronic dictionaries) can simplify their application.

Goals:
 To integrate an information extraction tool into the LOD2 Stack that can use the available
linguistic resources, which will be able to represent the information extracted from natural
language documents in the linked data format

 To integrate the document searching tool, which will be able to learn domain-specific
vocabularies (words and phrases) in different languages and then, using these
vocabularies and previously processed natural language documents, to provide a list of
similar documents sorted according to the semantic similarity to the given one



WP3: Tasks and Results – Knowledge Extraction
Knowledge Extraction Wikipedia Page
Overview on http://en.wikipedia.org/wiki/Knowledge_extraction ( Wiki page was bootstrapped by LOD2)
Knowledge Extraction from structured sources:
 relational databases, spreadsheets, CMS, logs, XML documents
 many tools created and/or improved: D2R, Triplify, Virtuoso Sponger, SPARQLMap, SPARQLIFY, Poolparty
(http://poolparty.biz)
 LOD2 Google Refine extension: http://code.zemanta.com/sparkica/download.html
Knowledge Extraction from semi-structured sources:
 Wikis, HTML
 DBpedia Live Extraction http://live.dbpedia.org
 internationalization of DBpedia http://wiki.dbpedia.org/Internationalization
 extension of DBpedia framework for all MediaWikis e.g. http://wiki.dbpedia.org/Wiktionary
 large-scale text mining and entity detection from blogs (led by Zemanta)
Knowledge Extraction from unstructured sources:
 textual sources and Natural Language Processing (NLP)
 NLP2RDF and NIF 1.0 specification of an RDF/OWL vocabulary to convert NLP tool output to RDF
 project and reference implementations available at http://nlp2rdf.org
 Demo: http://nlp2rdf.lod2.eu/demo.php


WP3: Tasks and Results

Knowledge Base Schema Enrichment
 learn axioms in knowledge bases, e.g. disjointness, definitions, super-classes
 development of ORE and DL-Learner
 enrichment of ontologies with multilingual information to allow language-independent search

Knowledge Base Repair
 fix inconsistencies, modeling problems, reasoning performance problems
 development of ORE

Web Linkage Validator
 reports whether knowledge base is suitable to be interlinked with others



WP4: Reuse, Interlinking and Knowledge Fusion (1)

Goal: Provide open-source software components for link generation, schema
mapping, data quality assessment and knowledge fusion.




Technological Excellence:
 Ease the creation of RDF links by using machine-learning as well as link quality assessment
workbench
 Provide for the flexible integration of Web data based on mappings discovered on the Web
 Provide for assessing the quality of Web data and fusing high-quality data.

Expected Outcomes:
1. Link discovery tools, linking assist and workbench
2. Framework for publishing and discovering expressive mappings on the Web
3. Data quality assessment framework providing for a wide range of different quality assessment
policies
4. Data fusion components providing various conflict resolution strategies
5. LOD-enabled data cleansing tool leveraging crowd intelligence to improve the quality of linked data




Progress:
1. Link discovery tools, linking assist and workbench

First version of Silk Workbench Data Linking Environment
released in Feb 2012 Released in Aug 2012

2. Framework for publishing and discovering expressive mappings on the Web
Mapping Publication and Discovery Mapping Publication and Discovery
Language specified in Jul 2011 Framework released in Feb 2012

3. Data quality assessment framework providing for different quality assessment policies
Sieve Quality Assessment Language Data Quality Assessment Tool
specified in Feb 2012 released in Aug 2012

4. Data fusion components providing various conflict-resolution strategies
Sieve Data Fusion Language Initial version of Data Fusion
released in Feb 2012 Component released in Aug 2012


WP4: Involvement of KAIST (Associated Partner from Korea)

Goals:
 Building Korean, Chinese and Japanese RDF data integration platform for Linked Data
 Multilingual Linked Data Fusion of Chinese and Japanese DBpedia with Korean and English DBpedia

Current Status:
 Secured Korean government funding support
 Original project scope expanded to involve an industry partner, Synapsoft, due to the Korean
government funding requirement
 Successfully completed and submitted work on Korean Resource Linking Assist.
 Installed on the developing webpage for Korean NLP2RDF in http://semanticweb.kaist.ac.kr/nlp2rdf/.
 In preparation of Chinese and Japanese data for the work on Asian Resource Linking Assist



WP5: Linked Data Browsing, Visualization, and Authoring Interfaces

Goal:
The objectives of WP5 are to develop new browsing, visualization and authoring interfaces for
LOD, which support a wide range of devices (from mobile phones to desktop PCs), which
integrate heterogeneous information from various sources and support the evolution of both
instance data as well as information structures over time. In order to achieve these objectives
we will explore new browsing and visualization paradigms.

Partners:
 Universität Leipzig (ULEI)
 Stichting Centrum voor Wiskunde en Informatica (CWI)
 National University of Ireland, Galway (NUIG)
 Freie Universität Berlin (FUB)
 Semantic Web Company GmbH (SWCG)



WP5: Task Breakdown



WP 5: Deliverables

In general, our concerns are: the browsing, visual representation, and creation of linked data
through various mediums. Our ongoing and delivered components for LOD2 include:
Faceted Spatial Browsing
 LinkedGeoBrowser – a linked data spatial semantic browser
 Madr – a linked data augmented reality viewer
Tools to search, browse and inspect datasets
 RDFAuthor – an adaptive RDF widget interface
 Sig.ma Enterprise Edition (Sig.ma EE) – an interactive information
visualizer for linked data
 SparqlEd - an assisted SPARQL query writer

Plus other LOD powered widgets and social networking applications



WP6: Interfaces, Integration & LOD2 Stack (1)

This work package deploys the LOD2 stack, a repository of downloadable packages.
With these components the whole LOD lifecycle is supported.

The development of the LOD2 stack is driven by the
application cases elaborated in WP7, WP8, WP9, WP9a and
WP6.

WP6 will deliver the following:
 Integrated user-interface components
 Integrated LOD2 Stack API components
 Documentation, Tutorials
 Evaluation of the LOD2 Stack



WP6: Interfaces, Integration & LOD2 Stack (2)
WP2 – WP5:
Output WP1 Develop
components

Use Case WP7:
Media & Media &
Yearly releases
Publishing Publishing
Requirements/
Applied on
Prerequisites

Use Case Generates
Open WP8:
Requirements/ Applied
Enterprise Prerequisites packages with Source on Enterprise
integrated tools
Data web Package Data web
SAF LOD2 stack
(Software Assembly Factory)
Requirements/ Released on
Starts on 09/2011 • 09/2012
Prerequisites Applied on
Use Case • 09/2013 WP9, WP9a:
• 09/2014
Government Government
Data Data

feedback



WP6: Evaluation of the LOD2 Stack (3)

LOD2 Stack Repository:

 http://stack.lod2.eu/deb/distributions/dists/

LOD2 Stack Demo server:

 http://demo.lod2.eu/lod2demo

LOD2 Stack Documentation:

 http://wiki.lod2.eu/display/LOD2DOC/Home



WP6: Flexible Solutions for Different Application Domains (4)

Goals:
 In-depth analysis of different application scenarios
 Identification of LOD2 functional components that adequately respond to specific
application requirements
 Evaluation of the suitability of the LOD2 approach for different domains by building
prototype applications
 Development of a stack configurator that will enable
 automatic initialization and configuration of the LOD2 Stack for domain-specific Linked
Data applications
 potential users to create their own personalized version of the LOD2 Stack



WP7: LOD2 for Publishers

Wolters Kluwer Deutschland (WKD):
“Semantic Technologies and Standards are an enabler for the media and publishing industry to
create added-value for their customers with reasonable costs.“

WKD Legal & Regulatory
Companies/Brands Products (Examples)
- Carl Heymanns Verlag - IP, Administrative Law WKD is part of Wolters Kluwer B.V.
- Luchterhand - Civil, Family, Labor Law
- Werner Verlag - Construction Law Customer orientation Worldwide reach
- Carl Link - Publications for Schools/KiTas - Lawyers - Europe
- CW Haarfeld - Public Health Insurance - Tax Accountants - North America
- Deutscher - Magazin „Personalwirtschaft“ (HR - Corporations and SMEs - Asia/Pacific
Wirtschaftsdienst Management) - Fincancial institutions
- AnNoText - SW for Lawyers and Notaries - Health Providers Economic success
- Trigon Data - Public Sector - Revenue 2010 EUR 3,6 bln.
- 19.000 Employees
WKD Tax & Accounting - Listed Amsterdam SE

Companies/Brands Products (Examples)
- Akademische Arbeits- - Tax SW for Consumers
gemeinschaft Verlag
- Addison Group - SW for Tax Accountants
- Schleupen Tax - SW for SMEs with focus
- Wago Curadata Controlling and Accounting



WP7: WKD as a Consumer of LOD Data

Content Supply
Chain of
Content Composing Publishing Customer
Wolters Kluwer Editing Sales Customer
Acquisition Bundling Interfacing Service
Deutschland
(WKD)

Content Acquisition Content Enrichment Enterprise Applications

Acquisition of LOD governmental data Enrichment of WKD data Data integration in Enterprise and other
Costumer Applications
- Laws & Regulations - Enrichment with additional metadata from
the LOD cloud - Integration of customer and WKD data with
- Court cases
data from the LOD cloud
- Automatic Interlinking within WKD data, but
- Administrative Rulings
also into the LOD cloud - Development of new services, e.g. around
- Statistical information metadata economics
Based on:
Based on: Based on:
- Adequate delivery format
- Adequate delivery format - Adequate functionality
- Adequate metadata
- Adequate metadata - Adequate APIs
- Adequate functionality
- Adequate Licensing and IPR - Adequate Licensing and IPR
- Adequate Licensing and IPR



WP7: WKD as a Publisher of LOD Data

Content Supply
Chain of
Content Composing Publishing Customer
Wolters Kluwer Editing Sales Customer
Acquisition Bundling Interfacing Service
Deutschland
(WKD)

Cloud - Publishing Marketing measures

Development of WKpedia Integration in overall marketing strategy of
WKD
- Publishing of enriched governmental
information - Dissemination of LOD2 in media and
publishing sector
- Publishing of legal domain thesauri
- Launching surveys
- Motivating contextualisation in LOD cloud
- Permanent information of customers
Based on:
- Sponsoring of conferences
- Adequate functionality
Based on:
-Adequate APIs
- Clear scope of LOD2 project to support future
- Adequate Licensing and IPR
publishing paradigms



WP8: Towards Linked Enterprise Data Webs (1)
Linked Enterprise Intra Data Webs can fill the gap between Intra-/Extranets and ERP systems
and facilitates data integration along value-chains within and across enterprises.
The pragmatic, incremental, vocabulary-based Linked Data approach reduces data integration
costs significantly.
Objective:
Web
 Promote openness and standards publishing

in enterprise data workflows
and applications



WP8: Linked Enterprise Data Use Case Scenario (2)

Wage policy EBI:
 Build an application for surveying wage policy in a company, domain, sector, region, etc.

Scenarios:
 A company wants to know if its wage policy is consistent with the market (in similar
and related companies and sectors).
 A job applicant would like to have an idea about his wage expectations according to his
expertise, profile and education background
 A governmental agency would like to survey the salaries in a particular region according
to an economic branch and other parameters



WP8: Linked Enterprise Data (3)

Targeted Service:
 A Saas service with different levels of subscription
 The service is a mashup of payroll and HR data of enterprises subscribing to
the service to build an index store of data facts about wages.
 Different consolidation parameters and key performance indicators (KPI) will
be studied to provide relevant reports and visualisation interfaces.
 Integration of external datasets in a particular survey: public datasets in the
web cloud or private datasets of participating companies.
 Privacy issues management: make private and nominative data anonymous.



WP8: Linked Enterprise Data (4)
Preliminary Overview

Search and
EBI interface
Employees and
Full text HR database
index

Indexer

Data
Data Data Data Data LODification and Taxonomies
consolidation enrichment, Cleaning and crawler anonymisation
annotation uniformisation

RDF
store SPARQL Payroll software
endpoint


WP9: Open Government Data Use Case
Overview
PublicData.eu is a prototype of a pan-European data catalogue and federation mechanism, developed by OKFN
as part of the FP7-funded LOD2 project. Based on the CKAN open-source data portal, the site is developed as a
use case and an early adopter of the LOD2 linked data stack technologies.



WP9: Key Stats

 Publicdata.eu provides robust and useful search, filtering and previewing tools.
 It currently houses 17027 data sets, harvested from 18 data catalogues, and it provides the
option to browse data sets by top-level categories.



WP9: Results

Technical improvements to Publicdata.eu during the past year

 In March 2012 we upgraded PublicData.eu to CKAN version 1.6, adding the data preview
functionality (powered by Recline), improvements to search, interface improvements to dataset
pages, newly added resource (file) pages and group pages.

 We also re-ran all the harvesters to have the most up to date set of datasets. Some catalogues
have been migrated to groups on thedatahub.org and therefore can't currently be harvested
without also including non EU datasets. In the future we may resolve this by extending the
harvester to allow us to specify which groups or tags should be harvested. This would allow us to
import relevant datasets from thedatahub.org without importing non EU datasets.

 Many new CKAN instances have recently been launched by various countries, which we hope to
include in our harvesting for the intermediate launch (August 2013)



WP9: Next Steps (1)

Further technical improvements to Publicdata.eu :

 Improvements that have been already implemented (Personalization features)
 activity streams and follow support (i.e. allowing users to subscribe to information
based on the region of interest, language and other Social /sharing buttons)

 Improvements scheduled for the next site releases (Personalization features)
 ability to rate datasets (by users or via QA extension)
 allow users to add/revise their own data sets
 users to contribute tools and mash-ups and visualization/Data store
 “related" extension allowing users to link to and from their data
 add Disqus comments extensions



WP9: Next Steps (2)

 Ckan core technology improvements (Harvesting)
 ability to only harvest changed data
 ability to harvest part of a site (i.e. A particular group)
 automate the harvesting process so that the data in publicdata.eu is always up to date.Run
harvesters more often/automatically
 show harvesting info publicly - Success/Failure alerts in the UI

 Additional features
 adding more advanced multilingual capabilities to the portal
 adding an RDF datastore



WP9: Linked Open Government Data in the West Balkan Countries

Objectives:

 deployment of the
LOD2 Stack to
government data from
this region

 establishment and
maintainance of the
Serbian CKAN

 provision of best
practice examples



WP9: Linked Open Government Data Scenarios

National Statistical Office Use Case:
 using LOD2 tools for publishing and integrating statistical data into the LOD Cloud

Scenarios:
 A company interested in investing in Southeast Europe wants to search the PublicData.eu portal,
download and analyse an extended set of economic indicators for the countries in this region
and compare them with indicators from the UK.

 A statistician preparing reports on a monthly, quarterly and yearly basis would like to publish
the reports in a machine-processable format and integrate them into the LOD2 Cloud.

 An IT Administrator maintaining the central repository of statistical classifications and statistical
indicators in a standard machine-processable format would like to link the national code lists
with the ones recommended by EUROSTAT, as well as to enrich their description with
information from DBpedia.



WP9: Linked Open Government Data Scenarios

Polish Ministry of Economy Use Case
 Using LOD2 tools for publishing and integrating Polish economy data into the LOD cloud
 mission: to support Polish enterprises in data search, acquisition and using for decision making

Main Datasets
 INSIGOS – Online Business Information System (multidimensional reports on economy)
 CEIDG – Central Register and Information on Economic Activity (of natural persons)
 public procurement data

Tasks Overview
 requirements analysis – identification of main datasets, their intended use
 adoption of the LOD2 Stack for Polish economy data
 a showcase – sample application showing advantages of LOD for enterprises



WP9a: LOD2 for Public Contracts

Research Focus:
 creating linked data for public sector contracts
 matching the demand of public sector bodies with linked commerce data
 analytics of linked data for public sector contracts

Results:
 In the second year of the project, the Public Contracts Ontology was developed, which
provides semantics to multiple triplified datasets (the European TED system and
various national-level ones).

Next Step:
 An application for public contracts filing and management is under construction.



WP10: Training, Dissemination, Community Building & Fertilization (1)

The general aim of this work package is to establish a worldwide focal point for academic,
governmental and industry parties interested in contributing to or taking advantage of the
novel Linked Data methodologies and components, which will emerge in the project.

In particular, our activities will be targeted at:
 informing the community of the state-of-the-art developments taking place in the
field,
 disseminating the project results in order to foster community building and
to create an impact on industry and research in Europe and worldwide,
 providing training and consultancy to interested audiences in the technologies
developed throughout the project



WP10: Training, Dissemination, Community Building & Fertilization (2)

Training Activities Dissemination Activities
 Internal face-to-face training  Scientific dissemination
 External training  Industrial dissemination
 PhD programme  Online marketing activities across all identified
target groups

Training and Dissemination in Korea
KAIST will, for instance, ensure the penetration of LOD2 results in a dynamic Asian country by organizing a
number of events and outreach activities, such as:
 two research-oriented Data Web symposia aiming to bring together relevant researchers in Asia with the
LOD2 consortium,
 two industry workshops aiming at disseminating LOD2 results to Korean and Japanese companies and to
facilitate cooperation and market entry of industrial LOD2 partners,
 already hosted 2012 International Asian LOD Summer School, attended by 35 students and 15
lecturers, from 13/08-17/08/2012
(http://semanticweb.kaist.ac.kr/2012lodsummer)



WP10: Most Important LOD2 Dissemination Resources
Website: http://lod2.eu

Weblog: http://blog.lod2.eu

Twitter: http://twitter.com/lod2project

Mailing List: lod2@lists.okfn.org

SlideShare: http://www.slideshare.net/lod2project

PUBLINK: http://lod2.eu/Article/Publink.html

Webinar Series: http://lod2.eu/BlogPost/webinar-series

Flickr Account: http://www.flickr.com/photos/lod2/

European Data Forum: http://data-forum.eu

#lod2 . @lod2project . #lod2stack



PubLink – LOD2’s Linked Open Data Starter Service
 PubLink helps selected organizations with a focused consulting in the course of
mini projects to publish and make use out of Linked (Open) Data
 PubLink helps to evaluate the LOD2 technologies and to
increase the wealth of Linked Data
 Annual application deadline is always in Winter (end of respective year)
 2012 PubLink participants include:

1. Food and Agriculture Organization of the United Nations (FAO), Italy
2. European Environment Agency, Denmark
3. Birmingham City Council, Great Britain
4. Municipality of Udine, Italy
5. Statistical Office of the Republic of Serbia, Serbia
6. Bezirksverordnetenversammlung Berlin-Kreuzberg, Germany

 For details see: http://lod2.eu/Article/Publink.html



LOD2 Webinar Series – Online Trainings on LOD Tools
One of the most extensive training activities within the LOD2 project is the online seminar
(webinars) series. It serves to make the main technologies in use and the major outcomes of the
project known to an audience of international scope.
LOD2 Webinars available:

1. Semantic Search (via PoolParty) – June 2011
2. Linked Data Management – November 2012
3. LOD2 Stack 1st Release – November 2011
4. Virtuoso – December 2011
5. Ontowiki – January 2012
6. SILK Workbench –Februar 2012
7. LIMEs & SAIM – March 2012
8. Linked Data and SKOS – April 2012
9. D2R and Sparqlify – April 2012
10. CloudView – May 2012
11. PoolParty Thesaurus Manager (PPT) – June 2012

For details (infos, presentations, recordings) see: http://lod2.eu/BlogPost/webinar-series


WP11: Exploitation and Standardization (1)

Objectives:
 Realizing the vision of the LOD2 project and use case studies
 Standardisation of LOD2 architecture
 Exploitation of knowledge and technical results

Exploitation:
 Use case studies and the industrial and end-user community partners will drive the exploitation.
 Tracking important technical and commercial in information retrieval, data management including news and
media.
 Publish exploitation plan identifying opportunities, benefits and impact of LOD2 consortium.
 First LOD2 Exploitation Plan produced in M12



WP11: Exploitation and Standardization (2)
Intellectual Property Rights (IPR):
 Core component of the LOD2 stack will be published under open-source license.
 Domain adoptions of LOD2 stack considered on case-by-case basis to protect IPR.
 Strategy ensures that all components of LOD2 are royalty-free.
 First IPR Strategy plan produced in M18

Standardization:
 Actively participating in appropriate standards bodies.
 Establishing a W3C Linked data interest group.
 W3C Linked Data Interest and WebID Incubator groups established

Orchestration with other projects:
 Encourage take-up of LOD2 technologies by other projects.
 Foster input from other EU projects relevant for the development of LOD2
 ESWC Project Networking Track M20
 Annual Summer School ULEI


WP12: Fact Sheet (1)

Project
 Instrument: Large-Scale Integrating Project
 Objective: Intelligent Information Management
 Call: FP7-ICT-2009-5
 Duration: 09/2010 – 08/2014

Means
 Total Budget: 9,9 M€
 Total Funding: 7,2 M€
 Total Resources: 1132 PM



WP12: Fact Sheet (2)
Consortium – 15 Partners from 11 European Countries + 1 Associated Partner from Korea

Universität Leipzig (Coordinator), Centrum Wiskunde & Informatica, National University of Ireland in
Germany Netherlands Galway, Irland
Freie Universität Berlin/Universität OpenLink Software, Semantic Web Company,
Mannheim, Germany United Kingdom Austria
TenForce, Exalead, Wolters Kluwer Deutschland,
Belgium France Germany
Open Knowledge Foundation, Vysoka Škola Ekonomická v Praze, Zemanta d.o.o.,
United Kingdom Czech Republic Slovenia
Korea Advanced Institute of Science
Instytut Informatyki Gospodarczej, Institut Mihajlo Pupin,
and Technology,
Poland Serbia
South Korea



Contact

Address Coordinator

University of Leipzig Dr Sören Auer
Faculty of Mathematics and Computer Science Scientific Project Leader
Department of Computer Science Phone: +49 (341) 97-32367
Institute of Business Information Systems
Fax: +49 (341) 97-32329
Postfach 100920 Email: auer@uni-leipzig.de
04009 Leipzig http://www.informatik.uni-leipzig.de/~auer
Germany
Nadine Jänicke
Project Manager
Phone: +49 (341) 97-32332
Fax: +49 (341) 97-32329
Email: jaenicke@uni-leipzig.de
http://bis.informatik.uni-leipzig.de/NadineJaenicke

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LOD2 Title . 02.09.2010 . Page 50 http://lod2.eu

LOD2 General Presentation 2012

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LOD2 General Presentation 2012