This presentation includes an overview of the basic rules to follow when developing training and education curricula for Linked Data and Big Linked Data
This presentation focuses on providing means for exploring Linked Data. In particular, it gives an overview of current visualization tools and techniques, looking at semantic browsers and applications for presenting the data to the end used. We also describe existing search options, including faceted search, concept-based search and hybrid search, based on a mix of using semantic information and text processing. Finally, we conclude with approaches for Linked Data analysis, describing how available data can be synthesized and processed in order to draw conclusions.
This presentation covers the whole spectrum of Linked Data production and exposure. After a grounding in the Linked Data principles and best practices, with special emphasis on the VoID vocabulary, we cover R2RML, operating on relational databases, Open Refine, operating on spreadsheets, and GATECloud, operating on natural language. Finally we describe the means to increase interlinkage between datasets, especially the use of tools like Silk.
This presentation addresses the main issues of Linked Data and scalability. In particular, it provides gives details on approaches and technologies for clustering, distributing, sharing, and caching data. Furthermore, it addresses the means for publishing data trough could deployment and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.
This presentation gives details on technologies and approaches towards exploiting Linked Data by building LD applications. In particular, it gives an overview of popular existing applications and introduces the main technologies that support implementation and development. Furthermore, it illustrates how data exposed through common Web APIs can be integrated with Linked Data in order to create mashups.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
This presentation looks in detail at SPARQL (SPARQL Protocol and RDF Query Language) and introduces approaches for querying and updating semantic data. It covers the SPARQL algebra, the SPARQL protocol, and provides examples for reasoning over Linked Data. We use examples from the music domain, which can be directly tried out and ran over the MusicBrainz dataset. This includes gaining some familiarity with the RDFS and OWL languages, which allow developers to formulate generic and conceptual knowledge that can be exploited by automatic reasoning services in order to enhance the power of querying.
This presentation focuses on providing means for exploring Linked Data. In particular, it gives an overview of current visualization tools and techniques, looking at semantic browsers and applications for presenting the data to the end used. We also describe existing search options, including faceted search, concept-based search and hybrid search, based on a mix of using semantic information and text processing. Finally, we conclude with approaches for Linked Data analysis, describing how available data can be synthesized and processed in order to draw conclusions.
This presentation covers the whole spectrum of Linked Data production and exposure. After a grounding in the Linked Data principles and best practices, with special emphasis on the VoID vocabulary, we cover R2RML, operating on relational databases, Open Refine, operating on spreadsheets, and GATECloud, operating on natural language. Finally we describe the means to increase interlinkage between datasets, especially the use of tools like Silk.
This presentation addresses the main issues of Linked Data and scalability. In particular, it provides gives details on approaches and technologies for clustering, distributing, sharing, and caching data. Furthermore, it addresses the means for publishing data trough could deployment and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.
This presentation gives details on technologies and approaches towards exploiting Linked Data by building LD applications. In particular, it gives an overview of popular existing applications and introduces the main technologies that support implementation and development. Furthermore, it illustrates how data exposed through common Web APIs can be integrated with Linked Data in order to create mashups.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
This presentation looks in detail at SPARQL (SPARQL Protocol and RDF Query Language) and introduces approaches for querying and updating semantic data. It covers the SPARQL algebra, the SPARQL protocol, and provides examples for reasoning over Linked Data. We use examples from the music domain, which can be directly tried out and ran over the MusicBrainz dataset. This includes gaining some familiarity with the RDFS and OWL languages, which allow developers to formulate generic and conceptual knowledge that can be exploited by automatic reasoning services in order to enhance the power of querying.
The slideset used to conduct an introduction/tutorial
on DBpedia use cases, concepts and implementation
aspects held during the DBpedia community meeting
in Dublin on the 9th of February 2015.
(slide creators: M. Ackermann, M. Freudenberg
additional presenter: Ali Ismayilov)
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageOntotext
Many issues are faced by scholars, book researchers, museum directors who try to find the underlying connection between resources. Scholars in particular continuously emphasizes the role of digital humanities and the value of linked data in cultural heritage information systems.
Existing data management approaches assume control over schema, data and data generation, which is not the case in open, de-centralised environments such as the Web. The lack of control means that there are social processes necessary to generate 'ordo ab chao' and hence a new life cycle model is necessary.
Based on our experience in Linked Data publishing and consumption over the past years, we have identify involved parties and fundamental phases, which provide for a multitude of so called Linked Data life cycles.
If you want to hear me speak to the slides, you might want to check out the following videos on YouTube:
Part 1: http://www.youtube.com/watch?v=AFJSMKv5s3s
Part 2: http://www.youtube.com/watch?v=G6YJSZdXOsc
Part 3: http://www.youtube.com/watch?v=OagzNpDEPJg
Within the course, we will present Linked Data as a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the past years, leading to the creation of a global data space that contains many billions of assertions – the Web of Linked Data.
Linked Data for the Masses: The approach and the SoftwareIMC Technologies
Title: Linked Data for the Masses: The approach and the Software
@ EELLAK (GFOSS) Conference 2010
Athens, Greece
15/05/2010
Creator: George Anadiotis (R&D Director)
NISO Webinar:
Experimenting with BIBFRAME: Reports from Early Adopters
About the Webinar
In May 2011, the Library of Congress officially launched a new modeling initiative, Bibliographic Framework Initiative, as a linked data alternative to MARC. The Library then announced in November 2012 the proposed model, called BIBFRAME. Since then, the library world is moving from mainly theorizing about the BIBFRAME model to attempts to implement practical experimentation and testing. This experimentation is iterative, and continues to shape the model so that it’s stable enough and broadly acceptable enough for adoption.
In this webinar, several institutions will share their progress in experimenting with BIBFRAME within their library system. They will discuss the existing, developing, and planned projects happening at their institutions. Challenges and opportunities in exploring and implementing BIBFRAME in their institutions will be discussed as well.
Agenda
Introduction
Todd Carpenter, Executive Director, NISO
Experimental Mode: The National Library of Medicine and experiences with BIBFRAME
Nancy Fallgren, Metadata Specialist Librarian, National Library of Medicine, National Institutes of Health, US Department of Health and Human Services (DHHS)
Exploring BIBFRAME at a Small Academic Library
Jeremy Nelson, Metadata and Systems Librarian, Colorado College
Working with BIBFRAME for discovery and production: Linked data for Libraries/Linked Data for Production
Nancy Lorimer, Head, Metadata Dept, Stanford University Libraries
The Information Workbench - Linked Data and Semantic Wikis in the EnterprisePeter Haase
The Information Workbench is a platform for Linked Data applications in the enterprise. Targeting the full life-cycle of Linked Data applications, it facilitates the integration and processing of Linked Data following a Data-as-a-Service paradigm.
In this talk we present how we use Semantic Wiki technologies in the Information Workbench for the development of user interfaces for interacting with the Linked Data. The user interface can be easily customized using a large set of widgets for data integration, interactive visualization, exploration and analytics, as well as the collaborative acquisition and authoring of Linked Data. The talk will feature a live demo illustrating an example application, a Conference Explorer integrating data about the SMWCon conference, publications and social media.
We will also present solutions and applications of the Information Workbench in a variety of other domains, including the Life Sciences and Data Center Management.
The slideset used to conduct an introduction/tutorial
on DBpedia use cases, concepts and implementation
aspects held during the DBpedia community meeting
in Dublin on the 9th of February 2015.
(slide creators: M. Ackermann, M. Freudenberg
additional presenter: Ali Ismayilov)
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageOntotext
Many issues are faced by scholars, book researchers, museum directors who try to find the underlying connection between resources. Scholars in particular continuously emphasizes the role of digital humanities and the value of linked data in cultural heritage information systems.
Existing data management approaches assume control over schema, data and data generation, which is not the case in open, de-centralised environments such as the Web. The lack of control means that there are social processes necessary to generate 'ordo ab chao' and hence a new life cycle model is necessary.
Based on our experience in Linked Data publishing and consumption over the past years, we have identify involved parties and fundamental phases, which provide for a multitude of so called Linked Data life cycles.
If you want to hear me speak to the slides, you might want to check out the following videos on YouTube:
Part 1: http://www.youtube.com/watch?v=AFJSMKv5s3s
Part 2: http://www.youtube.com/watch?v=G6YJSZdXOsc
Part 3: http://www.youtube.com/watch?v=OagzNpDEPJg
Within the course, we will present Linked Data as a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the past years, leading to the creation of a global data space that contains many billions of assertions – the Web of Linked Data.
Linked Data for the Masses: The approach and the SoftwareIMC Technologies
Title: Linked Data for the Masses: The approach and the Software
@ EELLAK (GFOSS) Conference 2010
Athens, Greece
15/05/2010
Creator: George Anadiotis (R&D Director)
NISO Webinar:
Experimenting with BIBFRAME: Reports from Early Adopters
About the Webinar
In May 2011, the Library of Congress officially launched a new modeling initiative, Bibliographic Framework Initiative, as a linked data alternative to MARC. The Library then announced in November 2012 the proposed model, called BIBFRAME. Since then, the library world is moving from mainly theorizing about the BIBFRAME model to attempts to implement practical experimentation and testing. This experimentation is iterative, and continues to shape the model so that it’s stable enough and broadly acceptable enough for adoption.
In this webinar, several institutions will share their progress in experimenting with BIBFRAME within their library system. They will discuss the existing, developing, and planned projects happening at their institutions. Challenges and opportunities in exploring and implementing BIBFRAME in their institutions will be discussed as well.
Agenda
Introduction
Todd Carpenter, Executive Director, NISO
Experimental Mode: The National Library of Medicine and experiences with BIBFRAME
Nancy Fallgren, Metadata Specialist Librarian, National Library of Medicine, National Institutes of Health, US Department of Health and Human Services (DHHS)
Exploring BIBFRAME at a Small Academic Library
Jeremy Nelson, Metadata and Systems Librarian, Colorado College
Working with BIBFRAME for discovery and production: Linked data for Libraries/Linked Data for Production
Nancy Lorimer, Head, Metadata Dept, Stanford University Libraries
The Information Workbench - Linked Data and Semantic Wikis in the EnterprisePeter Haase
The Information Workbench is a platform for Linked Data applications in the enterprise. Targeting the full life-cycle of Linked Data applications, it facilitates the integration and processing of Linked Data following a Data-as-a-Service paradigm.
In this talk we present how we use Semantic Wiki technologies in the Information Workbench for the development of user interfaces for interacting with the Linked Data. The user interface can be easily customized using a large set of widgets for data integration, interactive visualization, exploration and analytics, as well as the collaborative acquisition and authoring of Linked Data. The talk will feature a live demo illustrating an example application, a Conference Explorer integrating data about the SMWCon conference, publications and social media.
We will also present solutions and applications of the Information Workbench in a variety of other domains, including the Life Sciences and Data Center Management.
Manager une boite de Geeks est très particulier. Ces salariés d'un genre à part veulent des nouvelles technos, du temps pour expérimenter, partager la connaissance, faire du Pair Programming, participer à la stratégie d'entreprise et une vraie liberté de parole.
Speaker : Luc Legardeur, Président de Xebia, à Devoxx France 2015
Conférence sur les annotations Java par Olivier Croisier (Zenika) au Paris JUGZenika
Découvrez les annotations Java comme vous ne les avez jamais vues ! Olivier Croisier, expert Java, anime une conférence de deux heures sur les Annotations, à destination des développeurs et des architectes. Elle couvre leur utilisation, développement, et manipulation au compile-time et au run-time grâce aux Annotation Processors et à la Réflexion.
* Présentation : Historique, cas d'utilisations et limitations
* Tour d'horizon des annotation disponibles
* Utilisation des annotations
* Développer une annotation personnalisée : structure, propriétés et méta-annotations
* Outillage compile-time : les pluggable annotation processors
* Outillage runtime : Réflexion
* Injection d'annotations
* Conclusion
Dec'2013 webinar from the EUCLID project on managing large volumes of Linked Data
webinar recording at https://vimeo.com/84126769 and https://vimeo.com/84126770
more info on EUCLID: http://euclid-project.eu/
In the Open Data world we are encouraged to try to publish our data as “5-star” Linked Data because of the semantic richness and ease of integration that the RDF model offers. For many people and organisations this is a new world and some learning and experimenting is required in order to gain the necessary skills and experience to fully exploit this way of working with data. This workshop will re-assert the case for RDF and provide a guided tour of some examples of RDF publication that can act as a guide to those making a first venture into the field.
(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 is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
20140902 LinDa Workshop Semantincs2014 - LinDA Project OverviewLinDa_FP7
LinDa Project presentation - Challenges, tools, workplan and objectives
Presentation at LinDA Workshop on 2nd September 2014 at Semantics2014 by Spiros Mouzakitis
Talk about Exploring the Semantic Web, and particularly Linked Data, and the Rhizomer approach. Presented August 14th 2012 at the SRI AIC Seminar Series, Menlo Park, CA
Metadata Provenance Tutorial at SWIB 13, Part 1Kai Eckert
The slides of part one of the Metadata Provenance Tutorial (Linked Data Provenance). Part 2 is here: http://de.slideshare.net/MagnusPfeffer/metadata-provenance-tutorial-part-2-modelling-provenance-in-rdf
Metadata & brokering - a modern approach #2Daniele Bailo
The second episode of metadata and brokering.
Topics covered:
1. additional definition (ontology, relational database and others)
2. the wide picture: data fabric elements from Research Data Alliance (RDA) and possible concrete implementations of those guidelines
Detailed how-to guide covering the fusion of ODBC and Linked Data, courtesy of Virtuoso.
This presentation includes live links to actual ODBC and Linked Data exploitation demos via an HTML5 based XMLA-ODBC Client. It covers:
1. SPARQL queries to various Linked (Open) Data Sources via ODBC
2. ODBC access to SQL Views generated from federated SPARQL queries
3. Local and Network oriented Hyperlinks
4. Structured Data Representation and Formats.
Open data is a crucial prerequisite for inventing and disseminating the innovative practices needed for agricultural development. To be usable, data must not just be open in principle—i.e., covered by licenses that allow re-use. Data must also be published in a technical form that allows it to be integrated into a wide range of applications. The webinar will be of interest to any institution seeking ways to publish and curate data in the Linked Data cloud.
This webinar describes the technical solutions adopted by a widely diverse global network of agricultural research institutes for publishing research results. The talk focuses on AGRIS, a central and widely-used resource linking agricultural datasets for easy consumption, and AgriDrupal, an adaptation of the popular, open-source content management system Drupal optimized for producing and consuming linked datasets.
Agricultural research institutes in developing countries share many of the constraints faced by libraries and other documentation centers, and not just in developing countries: institutions are expected to expose their information on the Web in a re-usable form with shoestring budgets and with technical staff working in local languages and continually lured by higher-paying work in the private sector. Technical solutions must be easy to adopt and freely available.
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zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
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End-to-end overview of CI/CD pipeline with Azure devops
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2. Aims for curriculum
1.Show realistic solutions
2.Use real data
3.Use real tools
4.Show scalable solutions
5.Eat the dog’s food
EUCLID – a Curriculum for Big Linked Data 2
3. Realistic Solution
Application
Analysis & Visualization
RDFa Module
Mining Module
Access
SPARQL
Endpoint
Publishing
LD Dataset
Vocabulary Integrated
Interlinking Cleansing
Mapping Dataset
Physical Wrapper LD Wrapper R2R Transf. LD Wrapper
Data acquisition
RDF/
XML
Streaming providers Downloads
Musical Content Metadata Other content
EUCLID – a Curriculum for Big Linked Data 3
8. Real Tools
• Admitted simple start • Industry-strength
by Module 2
EUCLID – a Curriculum for Big Linked Data 8
9. Real Tools
• All tools explained by screencast
EUCLID – a Curriculum for Big Linked Data 9
10. Real Tools
• All tools explained by screencast
Explains
how
Exercise 1
was
created
EUCLID – a Curriculum for Big Linked Data 10
11. Real Tools
• The data of interest may be stored in a wide range or
formats:
Spreadsheets
Databases Text
or tabular data
• Several tools support the process of mining data
from different repositories, for example:
R2RML
EUCLID – a Curriculum for Big Linked Data 11
12. Scalable Solutions
• MusicBrainz RDF derived via R2RML:
300M
Triples
lb:artist_member a rr:TriplesMap ;
rr:logicalTable [rr:sqlQuery
"""SELECT a1.gid, a2.gid AS band
FROM artist a1
INNER JOIN l_artist_artist ON a1.id =
l_artist_artist.entity0
INNER JOIN link ON l_artist_artist.link = link.id
INNER JOIN link_type ON link_type = link_type.id
INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id
WHERE link_type.gid='5be4c609-9afa-4ea0-910b-12ffb71e3821'"""]
;
rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"]
;
rr:predicateObjectMap
[rr:predicate mo:member_of ;
rr:objectMap [rr:template
"http://musicbrainz.org/artist/{band}#_" ;
rr:termType rr:IRI]] .
EUCLID – a Curriculum for Big Linked Data 12
13. Dog Food
• EUCLID output, topics and engagement monitored
public-lod
public-vocabs
semantic-web
EUCLID – a Curriculum for Big Linked Data 13
14. Dog Food
• EUCLID output, topics and engagement monitored
public-lod • Offered as public SPARQL endpoint
public-vocabs
semantic-web
EUCLID – a Curriculum for Big Linked Data 14
15. Dog Food
• EUCLID output, topics and engagement monitored
public-lod • Offered as public SPARQL endpoint
public-vocabs
semantic-web • Will be used as basis
of analysis examples
EUCLID – a Curriculum for Big Linked Data 15
16. Results
• Achieving ~100
live viewers:
• Set to exceed
1000 post hoc
views /channel
(Webinar
platform,
Vimeo,
Slideshare):
EUCLID – a Curriculum for Big Linked Data 16
17. For exercises, quiz and further material visit our website:
http://www.euclid-project.eu
eBook Course
Other channels:
@euclid_project EUCLID project EUCLIDproject
EUCLID – a Curriculum for Big Linked Data 17