The document describes the LOD2 project, an EU-funded collaborative project that aims to utilize the Web as an integration platform for data and information using Linked Data technologies. The project focuses on very large RDF data management, knowledge enrichment and interlinking, fusion and information quality, and adaptive semantic user interfaces. It brings together various partners to develop an integrated LOD2 Stack for the full Linked Data lifecycle and apply it across several use cases.
문서의 웹에서 데이터의 웹으로 근본적인 변혁이 일어나는 시점에서 시맨틱 웹의 역할을 살펴보는 것은 의미심장한 일이다. 시맨틱 웹 기술은 차세대 웹의 핵심 기술로서 그 중요성은 세계의 지식을 묶고자 하는 Linking Open Data Project처럼 점점 커지고 있는 상황이다. 본 발표에서는 시맨틱 서비스 구현을 위해 필요한 시맨틱 서비스 플랫폼 OntoFrame과 그 사례를 소개하고, 시맨틱 서비스 다음 단계로서 떠오르고 있는 시맨틱 서비스 매쉬업의 현황과 가능성을 살펴보고자 한다.
This module supported the training on Linked Open Data delivered to the EU Institutions on 30 November 2015 in Brussels. https://joinup.ec.europa.eu/community/ods/news/ods-onsite-training-european-commission
Linked Data for Federation of OER Data & RepositoriesStefan Dietze
An overview over different alternatives and opportunities of using Linked Data principles and datasets for federated access to distributed OER repositories. The talk was held at the ARIADNE/GLOBE convening (http://ariadne-eu.org/content/open-federations-2013-open-knowledge-sharing-education) at LAK 2013, Leuven, Belgium on 8 April 2013
When we look at the rapid growth of scientific databases on the Internet in the past decade, we tend to take the accessibility and provenance of the data for granted. As we see a future of increased database integration, the licensing of the data may be a hurdle that hampers progress and usability. We have formulated four rules for licensing data for open drug discovery, which we propose as a starting point for consideration by databases and for their ultimate adoption. This work could also be extended to the computational models derived from such data. We suggest that scientists in the future will need to consider data licensing before they embark upon re-using such content in databases they construct themselves.
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...European Data Forum
Opening Keynote by Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the board of BITKOM working group Big Data at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Value of Big Data - From Data-Driven Enterprises to a Data-driven Economy
Big Data Analytics - From Generating Big Data to Deriving Business ValuePiyush Malik
Abstract of the Talk —The potential to extract actionable insights from big data has gained increased attention of researchers in academia as well as several industrial sectors. The field has become interesting and problems look even more exciting to solve ever since organizations have been trying to tame large volumes of complex and fast arriving big data streams through newer computing paradigms. However, extracting meaningful and actionable information from big data is a challenging and daunting task. The ability to generate value from large volumes of data is an art which combined with analytical skills needs to be mastered in order to gain competitive advantage in business. The ability of organizations to leverage the emerging technologies and integrate big data into their enterprise architectures effectively depends on the maturity level of the technology and business teams, capabilities they develop as well as the strategies they adopt.
In this paper, through selected use cases, we demonstrate how statistical analyses, machine learning algorithms, optimization and text mining algorithms can be applied to extract meaningful insights from the data available through social media, online commerce, telecommunication industry, smart utility meters and used for variety of business benefits, including improving security. The nature of applied analytical techniques largely depends on
the underlying nature of the problem so a one-size-fits-all solution hardly exists. Deriving information from big data is also subject to challenges associated with data security and privacy. These and other challenges are discussed in context of the selected problems to illustrate the potential of big data analytics.
The resources listed here are the starting point for anyone interested in applying the principles developed in this briefing for integrating Agile with Earned Value Management projects
Translating Big Raw Data Into Small Actionable InformationAlan McSweeney
Any approach to Big Data needs to be based rigorously on business value. Big Data exists across the organisation’s operating landscape and not just for customers. Such data presents the potential for significant value that can enhance the way organisations do business and interact with external parties. There is a need for a realistic and achievable approach to translating Big Raw Data into Small Actionable Information.
Big Data is intrinsically linked to digital operations and associated digital transformation.
So ignore the issues of scope, lack of definition, conflicts, differences and complexity and focus on the identification, specification, development and implementation of approaches, strategies, processes, expertise, solutions and systems and data that can provide actionable information to achieve outcomes that produce business value.
The approach to generating real value needs to encompass:
1. Definition and understanding of Big Raw Data landscape including data sources, platforms, systems and applications parties, journeys and interactions
2. Identification and selection of high potential value use cases for implementation for selected parties
3. Definition of IT strategies, facilities, tools, techniques and resources to reduce the volume of Big Raw Data to translate it into Small Actionable Information
4. System and application changes to actualise use cases
5. Understanding and appreciation of wider operational context – Campaign Management, Customer Relationship Management, Customer Experience Management, Customer Value Management
6. Implementation of underpinning data governance and data privacy protocols
7. Organisational and process changes to identify, implement and operate use cases
There are only a limited number of actionable insights available from Big Raw Data. There are only a limited number of actions the organisation can reasonably take. It is important not to swamp the organisation with lots of irrelevant pseudo insights. It is important to prioritise the actions recommended from the derived insights.
Exploiting Big Raw Data to generate business value requires resources. This means management commitment and sponsorship.
문서의 웹에서 데이터의 웹으로 근본적인 변혁이 일어나는 시점에서 시맨틱 웹의 역할을 살펴보는 것은 의미심장한 일이다. 시맨틱 웹 기술은 차세대 웹의 핵심 기술로서 그 중요성은 세계의 지식을 묶고자 하는 Linking Open Data Project처럼 점점 커지고 있는 상황이다. 본 발표에서는 시맨틱 서비스 구현을 위해 필요한 시맨틱 서비스 플랫폼 OntoFrame과 그 사례를 소개하고, 시맨틱 서비스 다음 단계로서 떠오르고 있는 시맨틱 서비스 매쉬업의 현황과 가능성을 살펴보고자 한다.
This module supported the training on Linked Open Data delivered to the EU Institutions on 30 November 2015 in Brussels. https://joinup.ec.europa.eu/community/ods/news/ods-onsite-training-european-commission
Linked Data for Federation of OER Data & RepositoriesStefan Dietze
An overview over different alternatives and opportunities of using Linked Data principles and datasets for federated access to distributed OER repositories. The talk was held at the ARIADNE/GLOBE convening (http://ariadne-eu.org/content/open-federations-2013-open-knowledge-sharing-education) at LAK 2013, Leuven, Belgium on 8 April 2013
When we look at the rapid growth of scientific databases on the Internet in the past decade, we tend to take the accessibility and provenance of the data for granted. As we see a future of increased database integration, the licensing of the data may be a hurdle that hampers progress and usability. We have formulated four rules for licensing data for open drug discovery, which we propose as a starting point for consideration by databases and for their ultimate adoption. This work could also be extended to the computational models derived from such data. We suggest that scientists in the future will need to consider data licensing before they embark upon re-using such content in databases they construct themselves.
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...European Data Forum
Opening Keynote by Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the board of BITKOM working group Big Data at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Value of Big Data - From Data-Driven Enterprises to a Data-driven Economy
Big Data Analytics - From Generating Big Data to Deriving Business ValuePiyush Malik
Abstract of the Talk —The potential to extract actionable insights from big data has gained increased attention of researchers in academia as well as several industrial sectors. The field has become interesting and problems look even more exciting to solve ever since organizations have been trying to tame large volumes of complex and fast arriving big data streams through newer computing paradigms. However, extracting meaningful and actionable information from big data is a challenging and daunting task. The ability to generate value from large volumes of data is an art which combined with analytical skills needs to be mastered in order to gain competitive advantage in business. The ability of organizations to leverage the emerging technologies and integrate big data into their enterprise architectures effectively depends on the maturity level of the technology and business teams, capabilities they develop as well as the strategies they adopt.
In this paper, through selected use cases, we demonstrate how statistical analyses, machine learning algorithms, optimization and text mining algorithms can be applied to extract meaningful insights from the data available through social media, online commerce, telecommunication industry, smart utility meters and used for variety of business benefits, including improving security. The nature of applied analytical techniques largely depends on
the underlying nature of the problem so a one-size-fits-all solution hardly exists. Deriving information from big data is also subject to challenges associated with data security and privacy. These and other challenges are discussed in context of the selected problems to illustrate the potential of big data analytics.
The resources listed here are the starting point for anyone interested in applying the principles developed in this briefing for integrating Agile with Earned Value Management projects
Translating Big Raw Data Into Small Actionable InformationAlan McSweeney
Any approach to Big Data needs to be based rigorously on business value. Big Data exists across the organisation’s operating landscape and not just for customers. Such data presents the potential for significant value that can enhance the way organisations do business and interact with external parties. There is a need for a realistic and achievable approach to translating Big Raw Data into Small Actionable Information.
Big Data is intrinsically linked to digital operations and associated digital transformation.
So ignore the issues of scope, lack of definition, conflicts, differences and complexity and focus on the identification, specification, development and implementation of approaches, strategies, processes, expertise, solutions and systems and data that can provide actionable information to achieve outcomes that produce business value.
The approach to generating real value needs to encompass:
1. Definition and understanding of Big Raw Data landscape including data sources, platforms, systems and applications parties, journeys and interactions
2. Identification and selection of high potential value use cases for implementation for selected parties
3. Definition of IT strategies, facilities, tools, techniques and resources to reduce the volume of Big Raw Data to translate it into Small Actionable Information
4. System and application changes to actualise use cases
5. Understanding and appreciation of wider operational context – Campaign Management, Customer Relationship Management, Customer Experience Management, Customer Value Management
6. Implementation of underpinning data governance and data privacy protocols
7. Organisational and process changes to identify, implement and operate use cases
There are only a limited number of actionable insights available from Big Raw Data. There are only a limited number of actions the organisation can reasonably take. It is important not to swamp the organisation with lots of irrelevant pseudo insights. It is important to prioritise the actions recommended from the derived insights.
Exploiting Big Raw Data to generate business value requires resources. This means management commitment and sponsorship.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
Putting the L in front: from Open Data to Linked Open DataMartin Kaltenböck
Keynote presentation of Martin Kaltenböck (LOD2 project, Semantic Web Company) at the Government Linked Data Workshop in the course of the OGD Camp 2011 in Warsaw, Poland: Putting the L in front: from Open Data to Linked Open Data
State of Play presentation at the LOD2 Plenary Vienna 2012: WP8: Linked Open Data for Enterprise Data Web by Amar-Djalil MEZAOUR,Dassault Systèmes Exalead.
PlanetData project was presented by Elena Simperl and Barry Norton from Karlsruhe Institute of Technology at the 1st International Symposium on Data-driven Process Discovery and Analysis on June 30, 2011 in Campione d’Italia, Italy
Linked Data Generation for the University Data From Legacy Database dannyijwest
Web was developed to share information among the users through internet as some hyperlinked documents.
If someone wants to collect some data from the web he has to search and crawl through the documents to
fulfil his needs. Concept of Linked Data creates a breakthrough at this stage by enabling the links within
data. So, besides the web of connected documents a new web developed both for humans and machines, i.e.,
the web of connected data, simply known as Linked Data Web. Since it is a very new domain, still a very
few works has been done, specially the publication of legacy data within a University domain as Linked
Data.
State of Play presentation at the LOD2 Plenary Vienna 2012: WP9A - LOD for a Distributed Marketplace for Public Sector Contracts by Vojtěch Svátek (UEP)
Redefining the ways in which we understand and use business information, even reshaping the boundaries of what constitutes "business information" today. What this means is Exalead CloudView breaks new ground in the efficacy with which it can hide the scale, complexity and obscurity of today's information landscape in order to deliver to real people in real time exactly the information they need in their unique context. To understand the evolutions in Exalead CloudView behind these new capabilities, and by extension to better understand the broader revolution underway in the world of data management, we invite you to join Nigel MOTTE & Amar-Djalil MEZAOUR for an informative look under the hood of Exalead CloudView.
UnifiedViews is a joint project currently maintained by Semantic Web Company (SWC) and Semantica.cz (Semantica.cz). It has been mainly developed by Charles University in Prague as a student project called ODCleanStore (version 2). It is based on the experience SWC obtained with the LOD Management Suite (LODMS) used in WP7 and ODCleansStore (version 1) developed by Charles University in Prague for the WP9a use case of the LOD2 FP7 project. In the next stack release of the LOD2 stack, UnifiedViews will replace LODMS as an ETL tool in the stack and the tool has already been adopted in other projects.
In the webinar we will give a brief overview of the UnifiedViews project (Helmut Nagy). The main part will be a presentation of the tool and it's capabilities (Tomas Knap)
The current status of Linked Open Data (LOD) shows evidence of many datasets available on the Web in RDF. In the meantime, there are still many challenges to overcome by organizations in their journey of publishing five stars datasets on the Web. Those challenges are not only technical, but are also organizational. At this moment where connectionist AI is gaining a wave of popularity with many applications, LOD needs to go beyond the guarantee of FAIR principles. One direction is to build a sustainable LOD ecosystem with FAIR-S principles. In parallel, LOD should serve as a catalyzer for solving societal issues (LOD for Social Good) and personal empowerment through data (Social Linked Data).
In this Webinar Lorenz Bühmann presents the ontology repair and enrichment tool ORE and also the DL-Learner , a machine learning tool to solve supervised learnings tasks and support knowledge engineers in constructing knowledge. Those two beneighbored tools in the LOD2 Stack are for classification and the following quality analysis of Linked Data.
http://lod2.eu/BlogPost/webinar-series
This webinar in the course of the LOD2 webinar series will present the release 3.0 of the LOD2 stack, which contains updates to
*) Virtuoso 7 [Openlink]: the original row store of the Virtuoso 6 universal server has now been replaced by a column store, increasing the performance of SPARQL queries significantly, the store is now up to three times as fast as the previous major version.
Linked Open Data Manager Suite [SWC]: the 'lodms' application allows the user to quickly set up pipelines for transforming linked data through the use of its many extensions. It also allows operations for extracting rdf from other types of data.
*) dbpedia-spotlight-ui [ULEI]: a graphical user interface component that allows the user to use a remote DBpedia spotlight instance to annotate a text with DBpedia concepts.
*) sparqlify [ULEI]: a scalable SPARQL-SQL rewriter, allowing you to query an SQL database as if it were a triple store.
*) SIREn [DERI]: a Lucene plugin that allows you to efficiently index and query RDF, as well as any textual document with an arbitrary amount of metadata fields.
*) CubeViz [ULEI]: CubeViz allows visualization of the Data Cube linked data representation of statistical data. It has support for the more advanced DataCube features, such as slices. It also allows the selection of a remote SPARQL endpoint and export of a modified cube.
*) R2R [UMA]: the R2R mapping API is now included directly into the lod2 demonstrator application, allowing users to experience the full effect of the R2R semantic mapping language through a graphical user interface.
*) ontowiki-csvimport [ULEI]: an OntoWiki extension that transforms CSV files to RDF. The extension can create Data Cubes that can be visualized by CubeViz.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
(http://lod2.eu/BlogPost/webinar-series) In this Webinar Michael Martin presents CubeViz - a facetted browser for statistical data utilizing the RDF Data Cube vocabulary which is the state-of-the-art in representing statistical data in RDF. This vocabulary is compatible with SDMX and increasingly being adopted. Based on the vocabulary and the encoded Data Cube, CubeViz is generating a facetted browsing widget that can be used to filter interactively observations to be visualized in charts. Based on the selected structure, CubeViz offer beneficiary chart types and options which can be selected by users.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
This webinar in the course of the LOD2 webinar series will present Virtuoso 7. Virtuoso Column Store, Adaptive Techniques for RDF Graph Databases. In this webinar we shall discuss the application of column store techniques to both graph (RDF) and relational data for mixed work-loads ranging from lookup to analytics.
Virtuoso is an innovative enterprise grade multi-model data server for agile enterprises & individuals. It delivers an unrivaled platform agnostic solution for data management, access, and integration. The unique hybrid server architecture of Virtuoso enables it to offer traditionally distinct server functionality within a single product
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
http://lod2.eu/BlogPost/webinar-series
DBpedia Spotlight is a tool employed in the Extraction stage of the LOD Lyfe Cycle, performing Entity Recognition and Linking. Although the tool currently specializes in English language, the support for other languages is currently being tested, and demos for German, Dutch and others are available or underway. The tool can be used to enable faceted browsing, semantic search, among other applications. In this webinar we will describe what is DBpedia Spotlight, how it works and how can you benefit from it in your application.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
http://lod2.eu/BlogPost/webinar-series
PublicData.eu is striving to become the Pan European one-stop-shop, providing access to open, freely reusable datasets from numerous local, regional and national public bodies across Europe.
After the first release of the PublicData.eu website (Alpha release was Jan 2011 & Beta release was June 2011) and it's subsequent upgrades (a significant upgrade was efected March 2012), OKFN worked towards the deployment of various personalization features, meant to improve the user experience on Publicdata.eu and spur more interest and interaction around the official data-sets.
This webinar in the course of the LOD2 webinar series will present Zemanta and its LODRefine - a LOD-enabled version of OpenRefine (previously Google Refine), which is a part of the LOD2 stack. LODRefine extends cleansing and linking functionalities of OpenRefine by providing means to reconcile and augment your data with DBpedia or any other SPARQL endpoint, extract named entities using Zemanta API, export data in one of the RDF formats, and recently also to exploit available crowdsourcing services. In webinar we will demonstrate several task which demonstrate the ease of use and versatility of LODRefine.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series: http://lod2.eu/BlogPost/webinar-series
This webinar in the course of the LOD2 webinar series will present the implications of Linked Open Data and Semantic Web Technologies in the information and publishing industry.
The publishing industry is struggling with too much information on the one hand and too less resources to bring meaning to this information on the other hand. As an industrial use case partner in LOD2, Wolters Kluwer Deutschland GmbH investigates in detail, how LOD and Semantic Web have the potential to solve this critical issue for their business. The presentation will show what parts of the LOD2 stack are used within the use case and what challenges had to be addressed in the last two years. Interesting future areas like natural language processing will also be mentioned. The topics covered are relevant for any industry that deals with a lot of data and documents, not only publishing.
This series will provide a monthly webinar about Linked (Open) Data tools and services around the LOD2 project, the LOD2 Stack and the Linked Open Data Life Cycle, also in the form of 3rd party tools. Please find continuously updated information here: http://lod2.eu/BlogPost/webinar-series
This webinar in the course of the LOD2 webinar series will present use cases and live demos of PoolParty (by Semantic Web Company).
Knowledge organization systems like taxonomies or thesauri can benefit from linked data approaches and vice versa. In recent years SKOS became very popular in various industries due to its simplicity, SKOS turned out to be the entry point to the Semantic Web. Learn more about the possibilities to link your enterprise metadata with the web of data! Learn more about the possibilities to link your enterprise metadata with the web of data and PoolParty as means for linked data management!
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the LOD2 webinar series!
http://lod2.eu/BlogPost/webinar-series
This webinar in the course of the LOD2 webinar series will present use cases and live demos of D2R (Free University Berlin) and Sparqlify (University of Leipzig).
D2R Server is a tool for publishing relational databases on the Semantic Web. It enables RDF and HTML browsers to navigate the content of the database, and allows applications to query the database using the SPARQL query language.
Sparqlify is a tool enabling one to define expressive RDF views on relational databases and query them with a subset of the SPARQL query language. By featuring a novel RDF view definition syntax, it aims at simplifying the RDB-RDF mapping process.
more to be found at:
Born from the wish to make linking tractable, the Link Discovery Framework for Metric Spaces (LIMES) is tailored towards the time-efficient and lossless discovery of links across knowledge bases. LIMES is an extensible declarative framework that encapsulates manifold algorithms dedicated to the processing of structured data of any sort. Built with extensibility and easy integration in mind, LIMES allows implementing applications that integrate, consume and/or generate Linked Data. Within LOD2, it will be used for discovering links between knowledge bases.
This webinar will be presented by the LOD2 Partner: University of Leipzig (ULEI), Germany.
State of Play presentation at the LOD2 Plenary Vienna 2012: WP10 - Training, Dissemination, Community Building, Fertilization by Martin Kaltenböck, Semantic Web Company (SWC)
State of Play presentation at the LOD2 Plenary Vienna 2012: WP9 publicdata.eu – Publishing Governmental Information as Linked Data by Irena Irina Bolychevsky, OKFN
State of Play presentation at the LOD2 Plenary Vienna 2012: WP7 - Linked Open Data for Media and Publishing by Christian Dirschl, Wolters Kluwer Germany
State of Play presentation at the LOD2 Plenary Vienna 2012: WP5 - Linked Data Browsing, Visualization and Authoring Interfaces by Sean Policarpio of DERI / NUIG.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
LOD2 General Presentation 2012
1. 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
2. Creating Knowledge out of Interlinked Data
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!
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 2 http://lod2.eu
3. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 3 http://lod2.eu
4. Creating Knowledge out of Interlinked Data
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)
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 4 http://lod2.eu
5. Creating Knowledge out of Interlinked Data
WP1: Requirements, Design & LOD2 Stack Prototype
Use Case High-Level Abstraction
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 5 http://lod2.eu
6. Creating Knowledge out of Interlinked Data
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)
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 6 http://lod2.eu
7. Creating Knowledge out of Interlinked Data
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)
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 7 http://lod2.eu
8. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 8 http://lod2.eu
9. Creating Knowledge out of Interlinked Data
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.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 9 http://lod2.eu
11. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 11 http://lod2.eu
12. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 12 http://lod2.eu
13. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 13 http://lod2.eu
14. Creating Knowledge out of Interlinked Data
WP4: Reuse, Interlinking and Knowledge Fusion (1)
Goal: Provide open-source software components for link generation, schema
mapping, data quality assessment and knowledge fusion.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 14 http://lod2.eu
15. Creating Knowledge out of Interlinked Data
WP4: Reuse, Interlinking and Knowledge Fusion (2)
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 15 http://lod2.eu
16. Creating Knowledge out of Interlinked Data
WP4: Reuse, Interlinking and Knowledge Fusion (3)
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 16 http://lod2.eu
17. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 17 http://lod2.eu
18. Creating Knowledge out of Interlinked Data
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)
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 18 http://lod2.eu
19. Creating Knowledge out of Interlinked Data
WP5: Task Breakdown
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 19 http://lod2.eu
20. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 20 http://lod2.eu
21. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 21 http://lod2.eu
22. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 22 http://lod2.eu
23. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 23 http://lod2.eu
24. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 24 http://lod2.eu
25. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 25 http://lod2.eu
26. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 26 http://lod2.eu
27. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 27 http://lod2.eu
28. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 28 http://lod2.eu
29. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 29 http://lod2.eu
30. Creating Knowledge out of Interlinked Data
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.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 30 http://lod2.eu
31. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 31 http://lod2.eu
32. Creating Knowledge out of Interlinked Data
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.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 32 http://lod2.eu
33. Creating Knowledge out of Interlinked Data
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.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 33 http://lod2.eu
34. Creating Knowledge out of Interlinked Data
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)
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 34 http://lod2.eu
35. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 35 http://lod2.eu
36. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 36 http://lod2.eu
37. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 37 http://lod2.eu
38. Creating Knowledge out of Interlinked Data
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.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 38 http://lod2.eu
39. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 39 http://lod2.eu
40. Creating Knowledge out of Interlinked Data
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.
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 40 http://lod2.eu
41. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 41 http://lod2.eu
42. Creating Knowledge out of Interlinked Data
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)
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 42 http://lod2.eu
43. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 43 http://lod2.eu
44. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 44 http://lod2.eu
45. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 45 http://lod2.eu
46. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 46 http://lod2.eu
47. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 47 http://lod2.eu
48. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 48 http://lod2.eu
49. Creating Knowledge out of Interlinked Data
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
EU-FP7 LOD2 Project Overview . 31.08.2012 . Page 49 http://lod2.eu
50. Creating Knowledge out of Interlinked Data
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
Thanks for your attention! http://lod2.eu
LOD2 Title . 02.09.2010 . Page 50 http://lod2.eu