Andreas Blumauer

Calais, Zemanta or textwise?

Beside W3C´s Linked Data Initiative, it were semantic services like Calais, Zemanta or textwise which have made the advantages of the Semantic Web visible for a broader community in the last few months.

Each of those services follow a slightly different approach, but in a nutshell: They all offer an API to provide “similarity search” around social media or also to enhance enterprise information management.

Like a magic bullet those services offer a relief from information overflow and seem to become kind of a “semantic web killer application“.

If you´re familiar with one or many of those services, drop a comment and let us know, what you´ve been experienced so far, or also if you can think of any applications or further developments you would like to see around these kind of services.

If you are not familiar with this stuff, for a quick demo go to

The widget uses text from this blog to calculate similar stuff from the web.


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Thomas Thurner

Semantic-like tools to pimp your blog

Presently more and more tools come up in the Web 2.0 – Domain, which bring semantic technologies into blogger´s everyday life. Zemanta was for sure a break-through in annotation of blog entries. I’m running this service on my private and my corporate blog. It is easy to integrate in every common blog-software and it is really a save of time in my daily work. Unfortunaly it is avaible only for english blogs.

bild-2Another service which came up recently is Quintura, which provides search capabilities for your own blog with a visual map of tags or hints based on an index created of the own blog entries. It is easy to customize for the own blog’s style with the use of a simple interface. Quintura offers code-snippets to copy to your blog-post or sidebar. Even if it is no semantic search engine in the narrow sense, Quintura provide a fine semantic-like interface for a meaning-sensitive search. See how Quintura is implemented into The Semantic Puzzle at our sidebar.

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Jana Herwig

Why Faviki is able to suggest tags in 13 languages

Just got in touch with Vuk Miličić from Faviki recently – Faviki has been selected as a featured project on Google code, and in that context, Vuk describes the process of how Faviki retrieves its suggestions in a little more detail. It’s really interesting! It also sheds more light on the way that DBpedia is used in Faviki: Not immediately for the retrieval of tags, but for the translation of tags – long live the smartness of linked data!

  1. Faviki fetches a web page and extracts a core text (without HTML and non-relevant content).
  2. Then it tries to figure out if a content is in English. If it isn’t, it is sent to Google language API, which detects the original language automatically, translates it into English and returns the translation.
  3. The content is then sent to and analyzed by Zemanta API, which then finds relevant links. Faviki uses links from English Wikipedia – titles are used as semantic tags.
  4. If users language is not English, we must translate them. Using DBpedia datasets “Links to Wikipedia Article” , we can find names of Wikipedia’s titles in one of 13 languages. These datasets actually contain the connections between English Wikipedia articles and articles from Wikipedia in other languages.
  5. Finally, suggested tags are offered to a user.

Read the whole blog post on Vuk’s Faviki blog

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Jana Herwig

Rich blog content at the click of a button – Zemanta has gone live!

Source: Wikipedia

This is great news! In February, I wrote for the first time about the Zemanta browser plug-in prototype which was supposed to allow you to enhance your blog’s content by automatically suggesting links (e.g. to Wikipedia or news pages) and pictures (e.g. on Flickr), based on semantic analysis of your text. Today Andraz from Zemanta notified me that they went live – and the working version is even cooler than the demo they had on their website in February: In February, you had to enter text and hit a button to ‘zemify’ the text – but the current Zemanta comes as a WordPress plug-in. Every 300 characters as you type the plug-in suggests further links and tags which you can apply all at once or by clicking on each one you want – and that is of course MUCH MUCH more convenient than going to a website, copying the URL, highlighting the word and hitting the link button in WP.

The next cool feature is that a side bar shows related content (articles and pictures) on the web – which you can simply add to your blog post by, again, simply clicking on them. Extremely cool! And yes: This very blog entry has been enhanced with Zemanta!

But of course there are a number of glitches in this early version… Continue reading