Archive for the 'Talk Digger' Category

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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How Talk Digger fit in the second Web dimension: the Services-Web


    To know how Talk Digger fit into the Services-Web dimension, we have to know how user and systems can interact with Talk Digger functionalities. We have to remember that the Services-Web dimension is the Web of functionalities: how human and machines can play with the functionalities of a system?

Talk Digger web services

At the time I write this article, no web services are available for Talk Digger. There is only an interface users can use to play (add, modify and remove) their data in the system.

Talk Digger users doesn’t have the freedom of choice when come the time to manage the data they put in the system. They are bound to the existing user interface.

Right now, all the data created by a user is publicly available (if wanted by the user) in many ways: RDF documents supported by the use of ontologies like FOAF, SIOC etc., via RSS feeds and OPML files. However, all these things belong to the next Web: the Data-Web.

So, what about the Services-Web? When Talk Digger users will have the freedom to choose the user interface they wish to interact with the system?


In a near future, web services will be available to developers to let them create other web services or software to interact with Talk Digger system. Such web services will let them:


  • Manage users profile (FOAF) hosted on Talk Digger
  • Retrieve tracking list with new in-bound links and new comments for each item
  • Add new tracks to users tracking list
  • Monitoring what a user’s friends are tracking and commenting in the system
  • Etc.


Then users will have the entire freedom to play with the data they create with the tools they want.

In the next article, we will see how Talk Digger will fit into the third dimension of the Web: the Data-Web.


Series of articles about ZitGist, Talk Digger, Ping the Semantic Web and the Semantic Web:

Article 1: Talk Digger and Ping the Semantic Web became ZitGist
Article 2: The first three dimensions of the Web: Interactive-Web, Service-Web and Data-Web
Article 3: How Talk Digger fit in the first Web dimension: the Interactive-Web

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This blog is a regularly updated collection of my thoughts, tips, tricks and ideas about my semantic Web researches and related software development.

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