Notice
Demos about a Web of Linked data
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Descriptif
The BBC Web site uses linked (open) data
The Wildlife documentary catalog on the Web site of BBC
The Web site of BBC is structured and augmented with both internal and public linked data. In particular, the categories, links, descriptions and additional pointers of the animals used to organize the Wildlife portal of their site rely directly on linked data
+ 5 more demos :
One of the resources used in the previous demo of the BBC is DBpedia. We will now browse that resource.
The DBpedia website implements content negotiation to answer HTTP calls and adapt the format of the data it serves to the needs of the requester.
In this demo, we use a classic Web browser, therefore the DBpedia website will deliver HTML representations of the descriptions of the resources of which we access the HTTP URIs.
We will see later with the demo on CURL how we can obtain data in other formats at the same address using content negotiation.
Sindice : Searching the Web of data
Sindice: one of the early search engines on the Web of Data
One of the first search engines on the Web of data was Sindice. It is now discontinued but during years this prototype showed how one could find datasets from keywords describing the topics we were interested in.
At the following address, you can also learn more about the story of Sindice and the end of support for this search engine in 2014:
http://www.dataversity.net/end-support-sindice-com-search-engine-history-lessons-learned-legacy-guest-post/
Open Calais : From natural language to linked data
The Web service OpenCalais automatically creates linked data from the textual content you submit. Using natural language processing techniques and machine learning techniques, OpenCalais analyzes the text to find known URIs identifying the entities mentioned in the text and link them to linked open data on the Web.
Curl : When software agents access the Web of data
In this last demo, we will use the CURL command to show how software agents can easily access data on the Web. This demo also prepares you to one of the exercises of this week that will use the same command.
Discovery Hub : Linked Data for Exploratory Search
Discovery Hub is an exploratory search engine built on top of the famous Wikipedia and more precisely on top of the data extracted by DBpedia. Exploratory search is a new way to search the Web to find things you might not have been searching for but that may be interesting for you. It allows performing queries in an innovative way and helps you to navigate rich results. As a hub, it proposes redirections to others platforms to make you benefit from your discoveries (Youtube, Deezer and more).
Intervention
Thème
Documentation
Documents pédagogiques
DBpedia at the heart of the linked open data cloud
The graph below shows the cloud of linked open databases on the Web.
Two nodes are linked if the dataset links their data, for instance if
one of the dataset reuses the identifiers of the other dataset to
identify the same resources (e.g. people, places, etc.).
At the
center of the cloud is one of the oldest, largest (in terms of size and
coverage) and most well-known dataset: DBpedia. Its name comes from the
fact that it publishes on the Web of linked data structured data
extracted from Wikipedia and, in particular, from its infoboxes
(structured tables summarizing facts about a topic in a Wikipedia page).
Click on the image to zoom and move in the LOD cloud.

This cloud view is available under a CC-BY-SA license: Linking Open Data cloud diagram 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/
See also: Chris Bizer's keynote at ISWC 2016 "Is the Semantic Web what we expected? Adoption Patterns and Content-driven Challenges"
Liens
Discovery Hub is an exploratory search engine built on top of the famous Wikipedia and more precisely on top of the data extracted by DBpedia. Exploratory search is a new way to search the Web to find things you might not have been searching for but that may be interesting for you. It allows performing queries in an innovative way and helps you to navigate rich results. As a hub
DBpedia at the heart of the linked open data cloudit proposes redirections to others platforms to make you benefit from your discoveries (Youtube
Open Calais: From natural language to linked dataDeezer and more).
CURL: Put yourself in the skin of a softwareThe graph below shows the cloud of linked open databases on the Web.
Sindice: one of the early search engines on the Web of DataThe Web service OpenCalais automatically creates linked data from the textual content you submit. Using natural language processing techniques and machine learning techniques
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4. Linked Data Principles
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1. Historical Introduction to the Web Architecture
GandonFabienFaronCatherineCorbyOlivierGoing back in history, back in 1945, Vannevar Bush wrote an article entitled "As we may think". In this article, he
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3. From pages to resources
GandonFabienFaronCatherineCorbyOlivierIn this third part, we will see another evolution of the Web, or more precisely, an evolution of the way we use the Web. We will
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5. Stack of Standards and Languages
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2. Separating Presentation and Content
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Avec les mêmes intervenants et intervenantes
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1. Historical Introduction to the Web Architecture
GandonFabienFaronCatherineCorbyOlivierGoing back in history, back in 1945, Vannevar Bush wrote an article entitled "As we may think". In this article, he
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5. Representing groups
GandonFabienFaronCatherineCorbyOlivierThis sequence is about the specificities of the RDF model for representing groups. The type Bag is predefined in the RDF model to represent
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2. GRDDL: extract RDF from X(HT)ML
GandonFabienFaronCatherineCorbyOlivierGRDDL is a mechanism to extract RDF from XML and HTML.
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4. Linked Data Principles
GandonFabienFaronCatherineCorbyOlivierIn this fourth part, we're going to see the principles behind Linked Data. What we're going to do is to change slightly how we
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5. Stack of Standards and Languages
GandonFabienFaronCatherineCorbyOlivierLet us now conclude this first part with an overview of the stack of standards and languages that are used to publish data on the
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2. Statements
GandonFabienFaronCatherineCorbyOlivierThis video présents the SPARQL Statements. The first statement is the optional pattern. It enables to specify a part of a graph pattern that is
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4. Tabular data and metadata (CSV)
GandonFabienFaronCatherineCorbyOlivierWe are going to see how we can transform tabular data and metadata into RDF. These data are extremely common; they are generated by
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5. Several Query Forms
GandonFabienFaronCatherineCorbyOlivierIn the fifth part, we will see several query forms. Until now, we have seen the select where SPARQL query form but there are
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3. Serialization Syntaxes
GandonFabienFaronCatherineCorbyOlivierWe saw in the previous sequence the principles of the RDF model by using an abstract syntax. This sequence will present you the
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6. Results and Update
GandonFabienFaronCatherineCorbyOlivierIn the last part, we will see the result format and Update query. The format of SPARQL query results are also standardized by the
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Demos about Integration with Other Data Formats and Sources
GandonFabienFaronCatherineCorbyOlivierAugmenting Web browser with data in the pages This demonstration show an extension to the browser called Operator. This extension allows the browser to actually look at the data inside the page
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2. Separating Presentation and Content
GandonFabienFaronCatherineCorbyOlivierWe now consider one of the first evolutions of the web, to separate the presentation and the content. In 1996, CSS, standing for
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