Slides prepared with Clement Levallois for the tutorial held at the Meertens institute. The presentation goes over the need for using Linked Data to make data machine readable. The hands-on part is focused on the annotation of a profile page with RDFa.
The Semantic Web is about to grow up. By efforts such as the Linked Open Data initiative, we finally find ourselves at the edge of a Web of Data becoming reality. Standards such as OWL 2, RIF and SPARQL 1.1 shall allow us to reason with and ask complex structured queries on this data, but still they do not play together smoothly and robustly enough to cope with huge amounts of noisy Web data. In this talk, we discuss open challenges relating to querying and reasoning with Web data and raise the question: can the emerging Web of Data ever catch up with the now ubiquitous HTML Web?
Presentation created for the CILIP Cataloguing Interest Group event on Linked Data, 25th November 2013 (http://www.cilip.org.uk/cataloguing-and-indexing-group/events/linked-data-what-cataloguers-need-know-cig-event)
Introduction to Topic Maps and Kamala. Learn to develop model-driven knowledge applications step by step. TAO of TopicMaps with Kamala including Typing, Schema and first Ontology constructs. (NB: slides are based on older version of Kamala)
Fluidinfo: Publishing in an Openly Writeable WorldFluidinfo
The slides I used during my presentation at Pearson's "From Book to Tablet: How Data is changing publishing" event on 2011/04/13 in London. I've added some notes.
The Semantic Web is about to grow up. By efforts such as the Linked Open Data initiative, we finally find ourselves at the edge of a Web of Data becoming reality. Standards such as OWL 2, RIF and SPARQL 1.1 shall allow us to reason with and ask complex structured queries on this data, but still they do not play together smoothly and robustly enough to cope with huge amounts of noisy Web data. In this talk, we discuss open challenges relating to querying and reasoning with Web data and raise the question: can the emerging Web of Data ever catch up with the now ubiquitous HTML Web?
Presentation created for the CILIP Cataloguing Interest Group event on Linked Data, 25th November 2013 (http://www.cilip.org.uk/cataloguing-and-indexing-group/events/linked-data-what-cataloguers-need-know-cig-event)
Introduction to Topic Maps and Kamala. Learn to develop model-driven knowledge applications step by step. TAO of TopicMaps with Kamala including Typing, Schema and first Ontology constructs. (NB: slides are based on older version of Kamala)
Fluidinfo: Publishing in an Openly Writeable WorldFluidinfo
The slides I used during my presentation at Pearson's "From Book to Tablet: How Data is changing publishing" event on 2011/04/13 in London. I've added some notes.
This list was compiled from the Top 10 Tools list shared by over 220 learning professionals worldwide at the Centre for Learning & Performance Technologies
Small presentation given at the closing event of PiLOD (http://www.pilod.nl) to explain the technical details behind the realisation of the HuiKluis prototype (http://pilod-huiskluis.appspot.com/)
Clarifier le sens de vos données publiques avec le Web de donnéesChristophe Guéret
Slides de la présentation donnée au Linked Open Data @ AIMS Webinars de la FAO. Cette présentation a pour but de mettre en avant les avantages du LOD pour la publication de données. Pour plus d'information, voir http://aims.fao.org/linked-open-data-webinars-at-aims ,
http://aims.fao.org/linked-open-data-webinars-at-aims/christophe-guedet et http://www.slideshare.net/faoaims/clarifier-le-sens-de-vos-donnes-publiques-avec-le-web-de-donnes
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
Talk given at the SSSW 2013 Semantic Web Summerschool.
Part 1: What is "Semantic Web" (in 4 principles and 1 movie)
Part 2: What question can we ask now that we couldn't ask 10 years ago
Part 3: Treat Computer Science as a *science*, not just as engineering!
(this part a short version of http://slidesha.re/SaUhS4 )
The presentation aims to emphasize the need for more applications and prototypes in the area of the Semantic Web that will showcase the various research findings and technologies.
Invited talk at SSSW'16 (http://sssw.org/2016/?page_id=232) introducing the Fourth Industrial Revolution and discussing how Semantic Web technologies can support this movement. Also a teaser for the upcoming Springer book "Semantic Web for Intelligent Engineering Applications" (http://www.springer.com/us/book/9783319414881).
Guest lecture to first year Bachelor of IT students at Queensland University of Technology in unit INB103 Industry insights, 8 March 2013.
Please note: due to the introductory nature of this lecture to the concept many of the resources have been adapted from the Stanford D School cc licensed resources.
A talk about the gap between theory and practice with W3C Semantic Web and Dublin Core standards, and how the DC Tools Community can help collectively reduce the cost of that gap.
Given as part of the DC Tools Community workshop at LIDA2009 in Zadar, Croatia.
This list was compiled from the Top 10 Tools list shared by over 220 learning professionals worldwide at the Centre for Learning & Performance Technologies
Small presentation given at the closing event of PiLOD (http://www.pilod.nl) to explain the technical details behind the realisation of the HuiKluis prototype (http://pilod-huiskluis.appspot.com/)
Clarifier le sens de vos données publiques avec le Web de donnéesChristophe Guéret
Slides de la présentation donnée au Linked Open Data @ AIMS Webinars de la FAO. Cette présentation a pour but de mettre en avant les avantages du LOD pour la publication de données. Pour plus d'information, voir http://aims.fao.org/linked-open-data-webinars-at-aims ,
http://aims.fao.org/linked-open-data-webinars-at-aims/christophe-guedet et http://www.slideshare.net/faoaims/clarifier-le-sens-de-vos-donnes-publiques-avec-le-web-de-donnes
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
Talk given at the SSSW 2013 Semantic Web Summerschool.
Part 1: What is "Semantic Web" (in 4 principles and 1 movie)
Part 2: What question can we ask now that we couldn't ask 10 years ago
Part 3: Treat Computer Science as a *science*, not just as engineering!
(this part a short version of http://slidesha.re/SaUhS4 )
The presentation aims to emphasize the need for more applications and prototypes in the area of the Semantic Web that will showcase the various research findings and technologies.
Invited talk at SSSW'16 (http://sssw.org/2016/?page_id=232) introducing the Fourth Industrial Revolution and discussing how Semantic Web technologies can support this movement. Also a teaser for the upcoming Springer book "Semantic Web for Intelligent Engineering Applications" (http://www.springer.com/us/book/9783319414881).
Guest lecture to first year Bachelor of IT students at Queensland University of Technology in unit INB103 Industry insights, 8 March 2013.
Please note: due to the introductory nature of this lecture to the concept many of the resources have been adapted from the Stanford D School cc licensed resources.
A talk about the gap between theory and practice with W3C Semantic Web and Dublin Core standards, and how the DC Tools Community can help collectively reduce the cost of that gap.
Given as part of the DC Tools Community workshop at LIDA2009 in Zadar, Croatia.
Building Secure Open & Distributed Social NetworksHenry Story
How to Build Open Distributed Social Networks with no central point of control. Displays an OpenSource application that can browse and edit that network. Shows how it works, how it can do simple firewall based security. It then looks at how to add fine grained security in such a network that would be equivalent to Social Networking applications such as LinkedIn or Facebook.
A very brief introduction to the semantic web (web 3.0) and how it relates to the social web. Includes a video of the progression from Web 1.0 to Web 2.0 to Web 3.0 by robin fay, georgiawebgurl@gmail.com
To the Cloud! How to Compile and Analyze Reference Statistics Easily and for ...Sonnet Ireland
Presentation on the technology used to compile and analyze statistics at the Earl K. Long Library at the University of New Orleans. Presented at the Louisiana Library Association Annual Conference in Shreveport, LA on March, 23, 2012 at 1pm by Sonnet Ireland and Faith Simmons.
This presentation was given at the first international conference on hybrid intelligence held in Amsterdam on June 2022. See https://www.hhai-conference.org/ for more information
Introduction about WorldWideSemanticWeb.org for the workshop "Making it Matter"Christophe Guéret
Short introduction describing what worldwidesemanticweb.org is about. The presentation matches a video at http://youtu.be/pRFhK-QooBA recorded for remote participation at the workshop http://linkedup-project.eu/making-it-matter-workshop/
Presentation about http://worldwidesemanticweb.org/ given at SugarCamp#3 in Paris on April 12-13. The slides introduce the activities of the WWSW group centred around adapting Semantic Web technologies to be usable in challenging conditions.
Presentation given at ODW2013 (http://www.w3.org/2013/04/odw/). Goes over the need for institutions doing digital archiving to publish their meta-data as LOD and ensure formats round-tripping for the data
Embedding young learners into the information societyChristophe Guéret
A couple of years ago, One Laptop Per Child embarked on a mission to "create educational opportunities for the world's poorest children by providing each child with a rugged, low-cost, low-power, connected laptop with content and software designed for collaborative, joyful, self-empowered learning". Today, this vision is achieved through the learning environment "Sugar" and the laptop "XO". This talk will start with an overview of OLPC's mission and the XO before focusing more on Sugar. This environment centered around "activities", a model in between document and application centric interfaces, features an interesting data model and data sharing capabilities. However, most of the data produced on the XO stays on the XO and is not accessible to the other devices. I will describe how Semantic Web technologies can be employed to further share and interconnect the data and give an overview of use-cases being implemented on top of "SemanticXO", the Semantic Web toolkit for Sugar.
Evolutionary and Swarm Computing for scaling up the Semantic WebChristophe Guéret
There are the slides from my presentation at BNAIC2012. The talks is about why we need to look at optimization techniques to deal with Linked Data and how this can be done.
These are the slides of a presentation given at http://www.w3.org/2012/06/pmod . Our current mindset when thinking about "Open Data" excludes the majority of World population from using it. This presentation highlight some of the work being done to change this.
Assessing Linked Data Mappings using Network MeasuresChristophe Guéret
When generating a lot of WoD links automatically, data quality is a pressing issue. This presentation, and the related paper, introduce LinkQA: a network based node-centric framework to analyse the impact of linkage on the network topology and assess the quality of these links.
Assessing Linked Data Mappings using Network Measures
Is linked data something for me?
1. Is Linked Data something for me?
Christophe Guéret, Clément Levallois
eHumanities group meeting, November 22, 2012
1/
2. Get ready !
Goal of today
Learn about Linked Data
See if that is something interesting for your activities
2/
3. Hands-on tutorial
Make groups, one per table
Pick a famous person of your choice per group
Grab the material on http://bit.ly/ehg_tutorial or
catch a USB stick
3/
4. Big data, but how to get it?
Can't always
gather all the
information
manually
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5. Big data, but how to get it?
Data scattered in
different information
systems
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6. Big data, but how to get it?
Data in different formats
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7. What if we could?
If all data where “readable”, connections between
datasets could be made. We would simply know
more than we do today.
“Linked data” is an attempt to do that
7/
8. Why is it so hard?
Machines can not read the text and extract data
What is the name of that person? 8/
9. Ouch!
You just faced the same problem as machines:
Can't read the document and extract the data
Linked Data is a solution to this problem
Note: in the following we take the example of data “buried” in
webpages (html documents), but the same logic applies to other
kinds of docs (csv files, databases, your collection of pictures…)
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11. What we will do...
Take a the webpage of a researcher (one page per
group!)
Explain why the data in this page is “buried”
Solve the issue by introducing some linked data
sweetness in the webpage
Show what we gained: now, we can connect the
researchers!
11/
12. Template 1
The name is in the title
City is ambiguous
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13. Template 2
The name is not visible on the page
City is ambiguous
13/
14. Template 3
The name is in the description
City is ambiguous
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15. Hands-on: check out the templates
Open the templates in a web browser and look at
their HTML source code
15/
16. Hands-on: check out the templates
Change “William Smith” into a name of your own
(one name per group)
Change and pick another name!
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18. In what sense do we mean that the name of this
researcher is buried in this web page?
There is no way for a software reading this page to guess:
is there a name on this page?
if so, what is this name?
What does this name represent? What does it relate to?
But wait, my Internet browser can read html pages,
why can’t it figure out the name of the researcher?
Because the html code gives info about how to display
the page, but no info about what the content means!
18/
19. Two roads from there…
We could design a software that understands English
This is the approach of natural language processing,
statistics, etc...
We can put extra code that tells directly to the software
what the data means
This is the linked data approach! This extra code in html
pages is called “RDFa”
19/
20. Annotate the data
We use a VOCABULARY for these annotations
foaf:name
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21. Wait! What is that “foaf:name” ?
It is a term from a vocabulary
foaf:name comes from the vocabulary FOAF and is used
to annotate the name of a person Key concept!!!
Vocabulary = set of unambiguous consensual
terms used to annotate pages with data
Vocabulary are
An agreement between data publisher and consumers
Generally focused on particular topics 21/
23. Hands-on: annotate with foaf:name
Add the “foaf:name” annotation to the three
templates
Step 1: declare the vocabulary FOAF
<html xmlns:foaf="http://xmlns.com/foaf/0.1/">
Step 2: annotate the data
<span property="foaf:name">William Smith</span>
Template 2 does not display the name we use a meta:
<meta property="foaf:name" content="William Smith"/> 23/
24. Hands-on: extract annotations
Use the RDFa extractor at http://bit.ly/RDFaParser
to get the annotations from the three templates
Command line tool:
java -jar RDFaParser-0.0.6.jar template1.html
java -jar RDFaParser-0.0.6.jar template2.html
java -jar RDFaParser-0.0.6.jar template3.html
All the three return the same result: nothing!
24/
25. Bingo!
We get exactly the same result for the three
templates
foaf:name = William Smith
25/
27. How to choose a vocabulary?
Vocabulary => consensus
Therefore, it is better to
Avoid obscure vocabularies nobody knows
Focus on well organised and maintained vocabularies
Why did we use FOAF?
Specialised for personal profiles and widely accepted
W3C support & recommended for use by EU members
http://joinup.ec.europa.eu/asset/core_person/description 27/
28. What vocabularies are available?
Many are well established: FOAF, SIOC, Dublin
Core, BIBO, …
Creating vocabularies is doable but beware that:
New vocabularies won't necessarily gain adoption
Need to maintain the vocabulary
Need to host it on the Web
A vocabulary can borrow terms from other vocabs.
28/
29. EU initiative
“Core Vocabularies” from ISA program
Combine existing terms and new ones
29/
32. How to use a vocabulary?
Look at the documentation, e.g.
http://xmlns.com/foaf/spec/
Map your concepts to terms from the vocabulary
Naam → foaf:name
Voornaam → foaf:firstName
Achternaam → foaf:lastName
Werklocatie → foaf:based_near
32/
33. Triples and subjects
Remember, we created this annotation
. foaf:name "William Smith“
But what entity has “William Smith” for a name?
<template1.html> foaf:name "William Smith"
Meaning: This document has for name “William Smith”
This is a “triple” made of a subject, a predicate and an object
Subject = <template1.html>
Predicate = foaf:name
Object = "William Smith"
33/
34. We did not declare a subject
This says that this is the foaf:name but does not
define a subject → Use the page name by default
foaf:name
34/
35. Why does this matter?
Subjects can be used as objects to create links
foaf:knows foaf:name
Need a common subject to group annotations
foaf:name
William smith
foaf:based_near
Durham
35/
36. Picking a resource
Need to be stable, web accessible, re-used
Consensus again, example:
Amsterdam: http://dbpedia.org/resource/Amsterdam
TBL: http://www.w3.org/People/Berners-Lee/card#i
The <C:/MyDirectory/templateX.html> are not valid
Web based, we need to change that
36/
37. Hands-on: set the subject
Step 1: decide on a resource for the person
http://example.org/william_smith
http://myurl.com/john_doe
Step 2: add the resource with an “about” tag in the
same span as the foaf:name
Example:
You had: <span property="foaf:name">
It becomes:
<span about="http://example.org/william_smith_page" property="foaf:name">
37/
38. 5-star Linked Data
Rules (see http://5stardata.info/ ):
Resource are valid URIs
Machine readable data is associated to the resource
The data contains links to other resources
Example http://dbpedia.org/resource/Amsterdam
38/
39. Great! We're done now!
We added this structured piece of data to all the
templates:
<http://example.org/william_smith> foaf:name "William Smith"
This data can be extracted by a software
We can build our application that fetch persons'
name, but there are still no links between them :-/
39/
40. One of the new code
All the annotated templates have their name
suffixed with “_with_name_and_subject”
40/
42. Creating links
Links are used to connect two resources
Example: William Smith knows Tim Berners-Lee
<http://example.org/william_smith> foaf:knows
<http://www.w3.org/People/Berners-Lee/card#i>
Two usages:
Create (social) networks by connecting resources
Disambiguate text by pointing to the exact resource
42/
43. Hands-on: getting social
Step 1: ask 3 other groups in this workshop for their subject
(remember, a subject is:
<span about="http://example.org/william_smith_page" property="foaf:name">
Step 2: use the 3 subjects you got to annotate the links
Example:
I know
<span rel="foaf:knows" resource="http://example.org/john_doe">John Doe</span>
, and
<span rel="foaf:knows" resource="http://myUrl.com/nchomsky">Noam Chomsky</span>
, and also
<span rel="foaf:knows" resource="http://ehumanities.knaw.nl/sally_wyatt">Sally
Wyatt</span>
43/
45. Remember, there are two Durham
One of the US, one in the UK, similar importance
Which one is the “Durham” on the profile?
http://sws.geonames.org/4464368 http://sws.geonames.org/2650628
45/
46. Finding a resource on Geonames
Search by name, follow the RDF link, strip out the
“/about.rdf” part
46/
47. Hands-on: disambiguate Durham
Annotate “Durham” with a link to the exact
resource
Step 1: decide on which Durham to use
Step 2: annotate Durham with the link
<span rel="foaf:based_near"
about="http://example.org/william_smith"
resource="http://sws.geonames.org/4464368">Durham</
span>
47/
48. Hands-on: extract annotations
Use the RDFa extractor at http://bit.ly/RDFaParser
to get the annotations from the three templates
Command line tool:
java -jar RDFaParser-0.0.6.jar template1.html
java -jar RDFaParser-0.0.6.jar template2.html
java -jar RDFaParser-0.0.6.jar template3.html
All the three return the same result!
48/