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Creating Knowledge out of Interlinked Data 
LOD2 Webinar . 29.11.2011 . Page 1 http://lod2.eu
Creating Knowledge out of Interlinked Data 
http://lod2.eu 
LOD2 is a large-scale integrating project co-funded by the European 
Commission within the FP7 Information and Communication Technologies 
Work Programme. This 4-year project comprises leading Linked Open 
Data technology researchers, companies, and service providers. Coming 
from across 12 countries the partners are coordinated by the Agile 
Knowledge Engineering and Semantic Web Research Group at the 
University of Leipzig, Germany. 
LOD2 will integrate and syndicate Linked Data with existing large-scale 
applications. The project shows the benefits in the scenarios of Media and 
Publishing, Corporate Data intranets and eGovernment. 
LOD2 Webinar . 29.11.2011 . Page 2 http://lod2.eu
Creating Knowledge out of Interlinked Data 
http://lod2.eu 
Once per month the LOD2 webinar series offer a free webinar about 
tools and services along the Linked Open Data Life Cycle. 
Stay with us and learn more about acquisition, editing, composing, 
connected applications – and finally publishing Linked Open Data. 
LOD2 Webinar . 29.11.2011 . Page 3 http://lod2.eu
Creating Knowledge out of Interlinked Data 
http://lod2.eu 
UnifiedViews 
Tomáš Knap, Semantica.cz 
Helmut Nagy, Semantic Web Company 
LOD2 Webinar . 29.11.2011 . Page 4 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Agenda 
• What is UnifiedViews 
• Short History: From ODCleanstore & LOD Manager to Unified Views 
• Presentation of Unified Views 
• Outlook, Impact, the UnifiedViews project 
LOD2 Webinar . 29.11.2011 . Page 5 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Motivation for UnifiedViews 
• Suppose a Linked Data consumer, who is defining a data processing task - 
building a data mart integrating information from various RDF and non-RDF 
sources. 
– There are tools available for RDF data extraction, enrichment, linking, transforming, ... 
– Any23, Virtuoso, Silk, … 
• Stil, the consumer has to (among other activities): 
– Write his own script executing the tools in the required order and with the required 
configurations 
– Schedule the script 
– Add notification capabilities, such as sending an email in case of problems 
• Maintenance of such task is challenging 
– In case of problems, consumer has to manually launch the problematic tool with the proper 
input data and the problematic configuration, load the output data to a RDF store and 
browse/query these data 
– Consumer can get very quickly lost as the amount of configurations and tools, he is using, is 
increasing; as a result, he may start creating duplicated configurations. 
– Consumer cannot share already prepared configurations, cannot use configurations already 
prepared by others 
LOD2 Webinar . 29.11.2011 . Page 6 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Problem and Our Solution 
• General Problem: Consumers have to write most of the logic to define, 
execute, monitor, schedule, and share the data processing tasks 
• We propose UnifiedViews, an Extract-Transform-Load (ETL) framework 
– The concept of data processing task is a central concept 
– Another central concept is the native support for RDF data format and ontologies 
LOD2 Webinar . 29.11.2011 . Page 7 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Short History: From ODCleanstore & LOD Manager to Unified Views 
Two tools targetting the same purpose with different strenght 
One tool aligning the ideas of both tools and going beyond that 
LOD2 Webinar . 29.11.2011 . Page 8 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Presentation of Unified Views 
• Basic Concepts 
• Key Features 
• Demo 
LOD2 Webinar . 29.11.2011 . Page 9 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Basic Concepts in UnifiedViews – A Pipeline 
• Every data processing task is modelled as a pipeline. 
LOD2 Webinar . 29.11.2011 . Page 10 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Basic Concepts in UnifiedViews - Data Processing Unit (DPU) 
• Component, plugin, module, on the pipeline 
• Every DPU has certain inputs, outputs, business logic and configuration. 
Based on the input and the configuration, the outputs are created. 
– E.g., DPU may apply certain set of SPARQL Update queries to the input RDF and produces 
output RDF data. 
LOD2 Webinar . 29.11.2011 . Page 11 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Key Features 
• Web administration interface: 
– Define and manage pipelines 
– Validate, execute, monitor and debug pipelines 
– Possibility to schedule tasks, set up notifications about the pipeline executions 
– Define and manage DPUs 
– Possibility to debug inputs to/outputs from DPU 
– Possibility to share pipelines and DPUs 
– Possibility to get notifications about the result of the pipeline execution 
– Multi-user environment 
• Robust engine running the tasks 
– Ensures that DPUs on the pipeline are executed in the proper order 
– It may send notifications about the result of the pipeline execution 
• Core DPUs to work with RDF data 
• Easy way how to extend UnifiedViews with your own DPUs 
– Every DPU is an OSGi bundle, as a result, two DPUs with the requirement for two different 
versions of the same library may coexist in the framework 
– Possibility to reload DPUs on the fly 
LOD2 Webinar . 29.11.2011 . Page 12 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Demo 
• Part A – instance http://odcs.xrg.cz:8080/unifiedviews 
– Introduction to the Web user interface (2mins) 
– Simple pipeline and basic operations with the pipeline (5mins) 
– DPU templates, how they can be managed (1-2mins) 
• Part B – instance http://odcs.xrg.cz:8080/odcleanstore 
– More complex pipelines (1-5mins) 
LOD2 Webinar . 29.11.2011 . Page 13 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Related Work 
• Non-RDF ETL Frameworks 
– Plenty of ETL frameworks, some of them are open source 
– No support for RDF data format and ontologies in the framework itself 
• E.g., DPUs are not prepared to suggest ontological terms in DPU configurations 
– No native support for exchanging RDF data between DPUs 
– No RDF data processing units available out of the box 
• Linked Data Integration Framework (LDIF) 
• DERI Pipes 
– When adding new DPUs, Core must be rebuilt 
– It is not possible to reload Dpus on the fly 
– Does not provide solution for library version clashes 
– No possibility to debug inputs/outputs of DPUs 
LOD2 Webinar . 29.11.2011 . Page 14 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Impact 
• Integrated into the LOD2 stack 
• Replacin the existing LOD Manager integration 
• Used in LOD2 
• WP9a, to process public contracts data 
• WP7, to enrich documents with links to Dbpedia and WKD Thesauri 
• Used by other projects 
• OpenData.cz initiative 
• INITLIB 
• COMSODE FP7 project (2013-2015) 
• OpenFridge project. 
• Used for commercial purposes by companies Semantica.cz, Czech Republic, and 
Semantic Web Company, Austria, to help their customers to prepare and process RDF 
data 
LOD2 Webinar . 29.11.2011 . Page 15 http://lod2.eu
Creating Knowledge out of Interlinked Data 
How to try UnifiedViews? 
• UnifiedViews is available under open source license 
– GPLv3 + LGPLv3 
• Hosted on GitHub 
– Respository: https://github.com/UnifiedViews/Core 
• Current latest version: UnifiedViews 1.0 Candidate 
– Branch in the repository 
• User Documentation: 
– https://grips.semantic-web.at/display/UDDOC/UnifiedViews+User+Documentation 
LOD2 Webinar . 29.11.2011 . Page 16 http://lod2.eu
Creating Knowledge out of Interlinked Data 
How to develop new DPUs? 
• Guide for Plugin (DPU) developers: 
– https://grips.semantic-web.at/display/UDDOC/Creation+of+Plugins 
• In short, every DPU typically consists of 4 main files 
– Core DPU file 
• Implement execute() method 
• Define inputs, outputs 
– pom.xml File 
– DPU dialog 
– DPU config object 
LOD2 Webinar . 29.11.2011 . Page 17 http://lod2.eu
Creating Knowledge out of Interlinked Data 
How to contribute? 
• Guideline for contributors: 
– https://grips.semantic-web.at/display/UDDOC/Guidelines+for+Contributors 
LOD2 Webinar . 29.11.2011 . Page 18 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Conclusions 
• We presented UnifiedViews, an ETL framework with a native support for 
processing RDF data, which addresses the problem of sustainable RDF data 
processing 
– Users may define, execute, monitor, debug, schedule, and share data processing tasks 
(pipeline) 
– Users may create their own plugins - data processing units 
• UnifiedViews has a living community around and is already used in many 
projects 
– It is Maintained by Semantic Web Company and Semantica.cz 
LOD2 Webinar . 29.11.2011 . Page 19 http://lod2.eu
Creating Knowledge out of Interlinked Data 
Credits 
Jingle R.E.M., Martin Kaltenböck, Florian Kondert 
Coordination Thomas Thurner 
Martin Kaltenböck 
Moderation Martin Kaltenböck 
Presented by Tomas Knap, Helmut Nagy 
LOD2 Webinar . 29.11.2011 . Page 20 http://lod2.eu
Creating Knowledge out of Interlinked Data 
http://lod2.eu 
Hope you enjoyed staying with us – if you need more detailed 
information, visit us at www.lod2.eu and let us know how we can 
improve to meet your expectations! 
Don’t forget to register for our next webinar 
20.12. 2011 - Virtuoso (Open Link Software) 
24.01. 2012 - OntoWiki (University of Leipzig, Germany) 
Have a great day and don’t forget ... 
LOD2 Webinar . 29.11.2011 . Page 21 http://lod2.eu
Creating Knowledge out of Interlinked Data 
http://lod2.eu 
LOD2 Webinar . 29.11.2011 . Page 22 http://lod2.eu

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LOD2 Webinar: UnifiedViews

  • 1. Creating Knowledge out of Interlinked Data LOD2 Webinar . 29.11.2011 . Page 1 http://lod2.eu
  • 2. Creating Knowledge out of Interlinked Data http://lod2.eu LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Programme. This 4-year project comprises leading Linked Open Data technology researchers, companies, and service providers. Coming from across 12 countries the partners are coordinated by the Agile Knowledge Engineering and Semantic Web Research Group at the University of Leipzig, Germany. LOD2 will integrate and syndicate Linked Data with existing large-scale applications. The project shows the benefits in the scenarios of Media and Publishing, Corporate Data intranets and eGovernment. LOD2 Webinar . 29.11.2011 . Page 2 http://lod2.eu
  • 3. Creating Knowledge out of Interlinked Data http://lod2.eu Once per month the LOD2 webinar series offer a free webinar about tools and services along the Linked Open Data Life Cycle. Stay with us and learn more about acquisition, editing, composing, connected applications – and finally publishing Linked Open Data. LOD2 Webinar . 29.11.2011 . Page 3 http://lod2.eu
  • 4. Creating Knowledge out of Interlinked Data http://lod2.eu UnifiedViews Tomáš Knap, Semantica.cz Helmut Nagy, Semantic Web Company LOD2 Webinar . 29.11.2011 . Page 4 http://lod2.eu
  • 5. Creating Knowledge out of Interlinked Data Agenda • What is UnifiedViews • Short History: From ODCleanstore & LOD Manager to Unified Views • Presentation of Unified Views • Outlook, Impact, the UnifiedViews project LOD2 Webinar . 29.11.2011 . Page 5 http://lod2.eu
  • 6. Creating Knowledge out of Interlinked Data Motivation for UnifiedViews • Suppose a Linked Data consumer, who is defining a data processing task - building a data mart integrating information from various RDF and non-RDF sources. – There are tools available for RDF data extraction, enrichment, linking, transforming, ... – Any23, Virtuoso, Silk, … • Stil, the consumer has to (among other activities): – Write his own script executing the tools in the required order and with the required configurations – Schedule the script – Add notification capabilities, such as sending an email in case of problems • Maintenance of such task is challenging – In case of problems, consumer has to manually launch the problematic tool with the proper input data and the problematic configuration, load the output data to a RDF store and browse/query these data – Consumer can get very quickly lost as the amount of configurations and tools, he is using, is increasing; as a result, he may start creating duplicated configurations. – Consumer cannot share already prepared configurations, cannot use configurations already prepared by others LOD2 Webinar . 29.11.2011 . Page 6 http://lod2.eu
  • 7. Creating Knowledge out of Interlinked Data Problem and Our Solution • General Problem: Consumers have to write most of the logic to define, execute, monitor, schedule, and share the data processing tasks • We propose UnifiedViews, an Extract-Transform-Load (ETL) framework – The concept of data processing task is a central concept – Another central concept is the native support for RDF data format and ontologies LOD2 Webinar . 29.11.2011 . Page 7 http://lod2.eu
  • 8. Creating Knowledge out of Interlinked Data Short History: From ODCleanstore & LOD Manager to Unified Views Two tools targetting the same purpose with different strenght One tool aligning the ideas of both tools and going beyond that LOD2 Webinar . 29.11.2011 . Page 8 http://lod2.eu
  • 9. Creating Knowledge out of Interlinked Data Presentation of Unified Views • Basic Concepts • Key Features • Demo LOD2 Webinar . 29.11.2011 . Page 9 http://lod2.eu
  • 10. Creating Knowledge out of Interlinked Data Basic Concepts in UnifiedViews – A Pipeline • Every data processing task is modelled as a pipeline. LOD2 Webinar . 29.11.2011 . Page 10 http://lod2.eu
  • 11. Creating Knowledge out of Interlinked Data Basic Concepts in UnifiedViews - Data Processing Unit (DPU) • Component, plugin, module, on the pipeline • Every DPU has certain inputs, outputs, business logic and configuration. Based on the input and the configuration, the outputs are created. – E.g., DPU may apply certain set of SPARQL Update queries to the input RDF and produces output RDF data. LOD2 Webinar . 29.11.2011 . Page 11 http://lod2.eu
  • 12. Creating Knowledge out of Interlinked Data Key Features • Web administration interface: – Define and manage pipelines – Validate, execute, monitor and debug pipelines – Possibility to schedule tasks, set up notifications about the pipeline executions – Define and manage DPUs – Possibility to debug inputs to/outputs from DPU – Possibility to share pipelines and DPUs – Possibility to get notifications about the result of the pipeline execution – Multi-user environment • Robust engine running the tasks – Ensures that DPUs on the pipeline are executed in the proper order – It may send notifications about the result of the pipeline execution • Core DPUs to work with RDF data • Easy way how to extend UnifiedViews with your own DPUs – Every DPU is an OSGi bundle, as a result, two DPUs with the requirement for two different versions of the same library may coexist in the framework – Possibility to reload DPUs on the fly LOD2 Webinar . 29.11.2011 . Page 12 http://lod2.eu
  • 13. Creating Knowledge out of Interlinked Data Demo • Part A – instance http://odcs.xrg.cz:8080/unifiedviews – Introduction to the Web user interface (2mins) – Simple pipeline and basic operations with the pipeline (5mins) – DPU templates, how they can be managed (1-2mins) • Part B – instance http://odcs.xrg.cz:8080/odcleanstore – More complex pipelines (1-5mins) LOD2 Webinar . 29.11.2011 . Page 13 http://lod2.eu
  • 14. Creating Knowledge out of Interlinked Data Related Work • Non-RDF ETL Frameworks – Plenty of ETL frameworks, some of them are open source – No support for RDF data format and ontologies in the framework itself • E.g., DPUs are not prepared to suggest ontological terms in DPU configurations – No native support for exchanging RDF data between DPUs – No RDF data processing units available out of the box • Linked Data Integration Framework (LDIF) • DERI Pipes – When adding new DPUs, Core must be rebuilt – It is not possible to reload Dpus on the fly – Does not provide solution for library version clashes – No possibility to debug inputs/outputs of DPUs LOD2 Webinar . 29.11.2011 . Page 14 http://lod2.eu
  • 15. Creating Knowledge out of Interlinked Data Impact • Integrated into the LOD2 stack • Replacin the existing LOD Manager integration • Used in LOD2 • WP9a, to process public contracts data • WP7, to enrich documents with links to Dbpedia and WKD Thesauri • Used by other projects • OpenData.cz initiative • INITLIB • COMSODE FP7 project (2013-2015) • OpenFridge project. • Used for commercial purposes by companies Semantica.cz, Czech Republic, and Semantic Web Company, Austria, to help their customers to prepare and process RDF data LOD2 Webinar . 29.11.2011 . Page 15 http://lod2.eu
  • 16. Creating Knowledge out of Interlinked Data How to try UnifiedViews? • UnifiedViews is available under open source license – GPLv3 + LGPLv3 • Hosted on GitHub – Respository: https://github.com/UnifiedViews/Core • Current latest version: UnifiedViews 1.0 Candidate – Branch in the repository • User Documentation: – https://grips.semantic-web.at/display/UDDOC/UnifiedViews+User+Documentation LOD2 Webinar . 29.11.2011 . Page 16 http://lod2.eu
  • 17. Creating Knowledge out of Interlinked Data How to develop new DPUs? • Guide for Plugin (DPU) developers: – https://grips.semantic-web.at/display/UDDOC/Creation+of+Plugins • In short, every DPU typically consists of 4 main files – Core DPU file • Implement execute() method • Define inputs, outputs – pom.xml File – DPU dialog – DPU config object LOD2 Webinar . 29.11.2011 . Page 17 http://lod2.eu
  • 18. Creating Knowledge out of Interlinked Data How to contribute? • Guideline for contributors: – https://grips.semantic-web.at/display/UDDOC/Guidelines+for+Contributors LOD2 Webinar . 29.11.2011 . Page 18 http://lod2.eu
  • 19. Creating Knowledge out of Interlinked Data Conclusions • We presented UnifiedViews, an ETL framework with a native support for processing RDF data, which addresses the problem of sustainable RDF data processing – Users may define, execute, monitor, debug, schedule, and share data processing tasks (pipeline) – Users may create their own plugins - data processing units • UnifiedViews has a living community around and is already used in many projects – It is Maintained by Semantic Web Company and Semantica.cz LOD2 Webinar . 29.11.2011 . Page 19 http://lod2.eu
  • 20. Creating Knowledge out of Interlinked Data Credits Jingle R.E.M., Martin Kaltenböck, Florian Kondert Coordination Thomas Thurner Martin Kaltenböck Moderation Martin Kaltenböck Presented by Tomas Knap, Helmut Nagy LOD2 Webinar . 29.11.2011 . Page 20 http://lod2.eu
  • 21. Creating Knowledge out of Interlinked Data http://lod2.eu Hope you enjoyed staying with us – if you need more detailed information, visit us at www.lod2.eu and let us know how we can improve to meet your expectations! Don’t forget to register for our next webinar 20.12. 2011 - Virtuoso (Open Link Software) 24.01. 2012 - OntoWiki (University of Leipzig, Germany) Have a great day and don’t forget ... LOD2 Webinar . 29.11.2011 . Page 21 http://lod2.eu
  • 22. Creating Knowledge out of Interlinked Data http://lod2.eu LOD2 Webinar . 29.11.2011 . Page 22 http://lod2.eu

Editor's Notes

  1. Extract data from SPARQL Endpoint A Extract data from CSV files B Refine data with SPARQL queries X,Y, Z Deduplicate data using Linker L Publish data to SPARQL Endpoint B
  2. Pipeline consists certain components and defines data flow between componets
  3. I will probably refactor to two slides
  4. present the graphical user interface, all tabs List of pipelines List of DPU templates, show detail Execution monitor Scheduller Settings Simple Pipeline copy a prepared pipeline pipeline (with one extractor, one loader), Open, rename, set proper visibility Show DPUs in the tree, how they can be placed on the canvas debug the pipeline, show Add transformer, debug, show inputs/outputs to the new DPU Close the pipeline Run the pipeline, open exec monitor, show that the pipeline is there Schedule the pipeline (just show) Show how easy it is to import new DPU, replace new DPU Show more complex pipeline examples: CZSO – Codelists INTLIB nsoud Pipelines with Silk linker – creating sameAs link between BEs
  5. The goal of the OpenData.cz initiative18 is to extract, transform and publish Czech open data in the form of Linked Data, so that the initiative contributes to the Czech Linked (Open) Data cloud. For this effort, UV framework is successfully used since September 2013. Project INTLIB19 aims at extracting (1) references between legislation docu- ments, such as decisions and acts, (2) entities (e.g., a citizen, a president) defined by these documents and (3) the rights and obligations of these extracted enti- ties. UV is used in INTLIB to extract data from selected sources of legislation documents, convert it to RDF data, and provide it as Linked Data. COMSODE FP7 project20 has the goal to create a publication platform for publishing (linked) open data. ODCleanStore is used there as the core tool for converting hundreds of original datasets to RDF/Linked Data.