Ping the Semantic Web: call for names of web services exporting RDF documents

 

    More and more web services start to export some of their data archived in their databases using RDF. Some of them have a specific goal in mind, others only do it “in case of” that someone would need it (like livejournal.com does). In any case, these RDF documents are waiting here, somewhere on the Web, waiting to be read and used.

Ping the Semantic Web’s goal is to act as a central point in that environment: aggregating these RDF documents and then sending them to other services (softwares) that need them.

More and more people are starting to ping the service. It now gets about 5000 ping requests each day and its constantly growing.

In the last couple of days, I contacted some people that are developing systems that export RDF data. I asked them two things:

 

  1. Would it be possible for you to make your system pinging Ping the Semantic Web each time it creates or updates a RDF document?
  2. Would it is possible for you to send me a list of URLs where Ping the Semantic Web could find the existing RDF documents generated by your service?

 

Today I am asking your help:

If you know a web service that export RDF documents, would it be possible for you to contact me with the name of this service?

Then what I’ll do is contacting them to ask them the two questions. What I’ll also do is helping them (technically) to implement the feature into their system if they encounter any problem.

Currently the service know about 57 000 RDF documents. I predict you that in one year it will knows millions of RDF documents. And what I hope is that many of them will not be serialized using XML but using N3 instead (but I should certainly wait after a wider adoption of SPARQL before seeing that happening).

 

People I already contacted:

  • D2R Server publishing the DBLP Bibliography Database (Richard sent me 1.2 million of URL to crawl and he should start to ping PTSW in January (yeah, this is partly why I said that I would had millions of RDF document 😉 )
  • Revyu (Tom should start to ping PTSW soon)
  • FOAFMap
  • FOAFNaut
  • Geonames (Just when I was about to publish this article, Marc contacted me telling me that Geonames now pings PTSW each time a geoname changes or is created. Also, he send me a list of 6.2 million of geonames to include).
  • Tribe
  • Semantic Media Wiki

 

Conclusion

Finally what I am requesting is help from people to try to find as many web services that export data using RDF as possible. That way everybody will benefit from it: they will increase the visibility of the data they are generating and PTSW will see its database of RDF document growing and growing for the benefit of the community.

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Ping the Semantic Web and its future SPARQL endpoint

Soon enough I’ll add a SPARQL endpoint to the Ping the Semantic Web service. What it means?

It means that anybody will be able to send SPARQL queries (SPARQL look-like the SQL query language but is used to query RDF graphs) to retrieve information from the RDF documents know by the web service. As soon as someone ping pingthesemanticweb.com with a RDF document’s URL, other people will be able to search it using the SPARQL endpoint.

 

How it will work?

Users will have access web interface where they will be able to write and send SPARQL queries to the triple store (this is the name given to the type of database systems that archive RDF graphs)

For example, they will be able to send queries like:

 

SPARQL
PREFIX sioc: <http://rdfs.org/sioc/ns#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT *
WHERE
{
GRAPH ?graph
{
?s rdf:type sioc: Post
}
}

 

That query to the triple store will return all the resources (things) that have been described (type) as a sioc: Post (a blog post, a forum post, etc.)

 

How to visualize the triples store?

Creating this SPARQL endpoint will be somewhat easy to do. In fact, the structure will remain the same but we will add one new server: a SPARQL endpoint that gives access to a RDF triple store.

There is how one could imagine how triple store works:

 


Figure 1

 

 

 


Figure 2

 

If we take a look at the schemas, each RDF document is a graph in itself. A RDF graph is composed of the relations between resources <subject , verb, object>. For example a relation could be <peter , hair-color, brown> (so Peter’s air color is brown (so the resource “Peter” has the property “hair-color” brown)).

With the triple store, we have the possibility to merge two RDF graphs together. That way, we create a sort of meta-graph with all the relations between one graph and the other.

This is where things are getting interesting.

Ping the Semantic Web’s graph will be created by merging the graph of each RDF documents it knows (via pinging).

That way, users will have the possibility to search this sort of Meta-Graph of relationship between resources by querying it using SPARQL queries.

 

We could possibly talk about the semantic web in a nutshell.

 

Virtuoso to create the RDF triple store

I’ll use a database management system called Virtuoso to create this RDF triples store.

 

A first prototype version

Consider the first version of the triple store as a prototype. In fact, the RDF triple store feature of Virtuoso is relatively new. It is always in development and some things have to be created (to enhance the functionality) and upgraded. However, it is perfect for a couple of hundred of millions of triples (relations), but when we will reach the billion of triples, it is possible that some queries to the system will become unworkable. At that time, I’ll possibly be obligated to restrict users’ requests possibilities to ensure that the system will always be working at its full potential.

In any case, the triple store and the SPARQL endpoint will “live” on another server, so the performance of the current pinging system will not be affected by the performance of the endpoint, they are two totally different entities in our system.

 

Why a triple store with a SPARQL endpoint?

At first: for research and education purposes. People will have the possibility to query a system that aggregate RDF documents “from the wild”. Eventually, such initiative could lead to more interesting technologies development (user interface, anything) that could be used by a broader range of people.

Having this system in hands, one could search the triple store to extract statistics on the RDF documents it knows for research purposes.

Also, it is a way for OpenLink to debug, upgrade and enhance its service that will ultimately benefit to everyone (since an open source version of Virtuoso is available).

 

Conclusion

Keep me in touch if you have any thoughts about that new development with the Ping the Semantic Web service.

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How to participate to the Web 3.0 using your blog: participating to the Semantic Web to enhancing your blog visibility

 

Do you like my catchy title (Update: okay I agree with Danny: “Web 3.0 love secrets of the French” is a more catchy title)? A little bit ironic considering all the brouhaha (1) (2) (3) (4) (5) (6) (and a way to much more) that generated this New-York Times article wrote by John Markoff. Web 3.0… semantic web… semantic web 3.0… call it what you like, I don’t really care: really. What is fantastic is that more and more people get interested in what many people are working on since about 12 years: the Web of Data.

Without caring about all the recent hype (and misunderstanding) it recently got, some people could ask themselves about how they could easily participate to the idea of the Semantic Web: the Web of Data.

Is it possible for the common of mortals? Yeah, even my mom could (at least if she had a blog).

If you have a blog, you can easily participate to the semantic web by installing a simple add-on to your blog system and by starting pinging a server called Ping the Semantic Web each time you publish a new blog post.

The idea here is to get the articles you wrote (and will write) and publish them on the web not as a web page, but as a document for the semantic web. You can see the Web like that:

 

 

At top, you have a source of data: the articles you wrote on your blog for example.

Then with that same source of information, you can participate to two different Webs:

  1. At the left, you have the “web of humans”: the Web that can easily be understands by humans when they take a look at the screen. This is your blog.
  2. At the right, you have the “web of machines”: the Web that can easily by read and processed by machines. This is another version of your blog but for machines.

Well, it seems complex, so how the hell my mom is supposed to be able to participate to the semantic web?!?!?!?

Easy, In a hypothetical World, my mom is using: WordPress for her blog on cooking, Dotclear for her blog about design, b2Evolution for her family blog and Drupal for her new French mothers` community website.

The only thing she has to do is to install one of the add-on available for each of these blogging systems.

 

   

The instructions to install the add-on on WordPress are simples:

1. Copy the following files to the WordPress wp-content/plugins/ directory:

2. Enable “SIOC Plugin” in the WordPress admin interface (Admin -> Plugins -> action “Activate”)

 

 

    For Dotclear, the installation package can be found here, and the source code of the add-on can be found here.

 

 

    For b2Evolution: Copy the following files to the /xmlsrv/ directory of your b2Evolution installation folder:

 

 

    For the Drupal add-on, all the information can be found here.

 

As soon as she installed these add-ons, she started to participate to the semantic web.

 

Why people should take the time to install these add-ons? What is the advantage?

Increasing the visibility of your blog

 

By doing so, you are exposing your blog`s content to many other web crawlers ( web crawlers of a new generation, propelled by the adoption of the semantic web).

From that point, you only have to ping a new pinging service called Ping the Semantic Web to make sure that your blog is visible to these new web services. The process is the same as pinging weblogs.com or technorati.com for your web feed (RSS or Atom), but you are pinging pingthesemanticweb.com: a specialized pinging service for the semantic web.

Doing that helps you to increase your visibility on the Web.

How can you setup your blog system to automatically ping this pinging service?

Simple, the process is the same for each system described above. By example, if you are using WordPress you only have to:

  1. Log into your WordPress Dashboard
  2. Select Options
  3. Then select the Writing tab
  4. Near the bottom you should see a space labeled “Update Services”: Add “http://rpc.pingthesemanticweb.com/” on a new line in this space
  5. Finally press the Update Options button

So, you only have to make your system pinging http://rpc.pingthesemanticweb.com/

 

Conclusion

In two simple steps (1) installing an add-on and (2) adding a service to ping, a blogger can get more visibility for his blog and can start to participate to the semantic web.

 

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Show your relations with other web sites directly on your Blog using Talk Digger and Grazr

 

 

What about showing the relationship your blog, or web page, has with other websites? Why not using the power of Talk Digger and the beauty of Grazr to let your readers discovering people that talks about you, and the people you are talking about?

This is what Talk Digger and Grazr are proposing you to do.

 

What is Grazr?

Grazr is a OPML and RSS outliner: it lets you browse these type of file in a simple and beautiful user interface directly from a web site.

 


 

You have three view modes: slider, outliner and three panes. It is simple, fast and it integrates beautifully in any blog or web page.

 

What are Talk Digger relations?

Talk Digger not only tracks conversations evolving on the Web. No, it also explicit relations between conversations (so relations between web pages).

Three type of relations are make explicit by Talk Digger:

  1. Web pages that are talking about the current Web page.
  2. Web pages, from the same domain name, that are talking about the current Web page.
  3. Web pages that the current Web page is referring to.

 

Talk Digger and Grazr

If you put Talk Digger and Grazr together, you will be able to browse effortlessly Web sites by their relationship.

 

Why adding Talk Digger’s Grazr widget on your blog or Web site?

Blog readers like reading blogs not only because they like what the blog author writes, but also because they can discover new things of interests and new people by the links created by the author.

This is why putting Talk Digger’s Grazr widget on your blog is really interesting: it helps your blog readers to discover who links to your blog, and to whom you are linking to. In both cases, these links are of interest to your readers and it will helps them to discover new and interesting things on the Web.

What is also important in the Digital World is your online reputation and trust people have in you. Their readers can trust people if they write with their real name, if they put their photo, if they write about them in a personal way, if they write about their job, etc. But the online reputation also grows when other people start to talk about you, when they start to link to your personal web site. Showing these relations between you (your blog or personal web site) can help you to create your online persona and increase your online reputation and the trust people have in you.

 

How to get your Talk Digger – Grazr widget for your blog?

It is simple. You only have to go to the Talk Digger – Grazr widget generator page.

From that web page, you only have to:

  1. Put the URL of your blog or web page in that box: “To create your own TalkDigger Grazr enter your site URL here:” and then pressing the “update” button.
  2. Going to step #2 and customizing the look-and-feel of the widget.
  3. Finalizing with the step #3 and putting the generated code in your blog or web page.

 

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Talk Digger now serialize its SIOC and FOAF RDF documents using N3

 

   

A couple of weeks ago I make Ping the Semantic Web detecting and indexing RDF documents serialized using N3. Now I took a part of yesterday to serialize Talk Digger’s content using N3 as well.

So Talk Digger now export most of the relations it knows in RDF using 10 ontologies: SIOC, FOAF, GEO, BIO, DC, CONTENT, DCTERMS, DC, ADMIN, RSS and serialized with two languages: XML and N3.

Check at the bottom of each conversation page, or user page, and you will see SIOC and FOAF RDF documents serialized in both XML and N3.

   

I started to play with N3 serialization when I implemented it in Ping the Semantic Web. At first I was telling me: why another serialization method, why confusing users and developers with yet another way to write things?

Then I found my answer: N3 is basically a simplified teaching language used to express RDF documents (so, to serialize) developed by Sir Tim Berners-Lee. Once you get the basis of the language, you can easily read and write RDF documents in an elegant way. The parsing of N3 documents is much easier than its counter part (XML).

This serialization language gain to get know and its adoption would certainly encourage the usage of RDF by the fact that developers could concentrate their efforts on the RDF documents instead of the way they are serialized (there are so many ways to serialize something in RDF using XML; sometime I wonder if it is bounded and boundless…).

 

There are some links to getting started with N3:

Primer: Getting into RDF & Semantic Web using N3
Notation 3: An readable language for data on the Web
Turtle – Terse RDF Triple Language

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