Jana Herwig

Cuil – bigger, better, semantic, more – or what?

The blogosphere is abuzz with Cuil – according to its inventors Cuil is “an old Irish word for knowledge. For knowledge, ask Cuil.” If it’s got knowledge in it, it must have something to do with semantics – and like most of its competitors in the semantic arena, Cuil doesn’t lift the lid to show us what exactly is cooking in their pot. But it must have something to do with concepts and relationships – and their privacy promise also has some appeal in the era of data retention. Here is how they put it:

Rather than rely on superficial popularity metrics, Cuil searches for and ranks pages based on their content and relevance. When we find a page with your keywords, we stay on that page and analyze the rest of its content, its concepts, their inter-relationships and the page’s coherency.

Then we offer you helpful choices and suggestions until you find the page you want and that you know is out there. We believe that analyzing the Web rather than our users is a more useful approach, so we don’t collect data about you and your habits, lest we are tempted to peek. With Cuil, your search history is always private.

And of course there is the promise of the biggest index on the web ever, three times as big as Google’s, ten times as big as Microsoft’s… but size isn’t everything, I say, so let’s rather have a look at the (semantic) user experience.

Cuil did receive some praise for it’s (web 2.0.ish) appearance – meaning that the search field has, well, rounded edges and the search button comes with a shine (and the background is pitch black, so if Cuil manages to become as popular as Google, this might even reduce global warming:-). But the presentation of the search results is indeed pleasing to the semantic eye: The so-called “drilldown” shows related categories and instances for these categories and roll-over definitions for these terms. The search field recommends popular search terms, the results are organized in paragraphs, alternative searches are suggested in tabs – “Jamie Oliver” yields several alternative tabs, “RDF”, by comparison, doesn’t yield any.

On top of that, Cuil is REALLY fast – or at least today it is. Yesterday on Twitter, people were complaining about the page not loading – probably no surprise after the media frenzy that ensued after its launch. Lest I forget: Cuil was launched by former Google employees – and who would be in a better position to attack and cull (cheap pun) Google if not former Googlistas? Hence the frenzy.

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Jana Herwig

Hakia to use Yahoo! BOSS to improve Semantic Analysis

Four days ago I started this “Overview of Semantic Search Engines” blog project in which Hakia was featured – today an update came in via Beyond Search that Hakia is planning to use Yahoo’s Search BOSS (Build Your Own Search Service) to accelerate its Semantic Analysis. Hakia themselves wrote on their blog yesterday:

We are pleased to announce our participation in Yahoo!’s Search BOSS (Build Your Own Search Service) today. As part of this initiative, we have access to one of the largest Web directories on the Internet, which accelerates hakia’s QDEXing process and semantic analysis of the Web’s content. QDEXing is a critical element that replaces traditional index to allow scalable semantic search. Without this kind of infrastructure, application of semantic technology is destined to be limited, such as covering Wikipedia only.

The search landscape is currently in a dynamic stage of reinvention. Yahoo! is inviting more innovation to enter the market, while Microsoft validates the importance of semantic search technology with its recent acquisition of Powerset. For the latter, we congratulate both parties, yet are disappointed by the fact that we’ve lost our favorite competitor. From now on, we will look for traces of the Powerset-effect in LiveSearch.

Hope they’ll blog about it if they trace any!

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Jana Herwig

An overview of Semantic Search engines

Not a fortnight seems to go by these days without the announcement of another new Semantic Search engine – hence I though I sit down and draw up my own little list of currently available search engines. The amount of semantics in them isn’t always transparent – hardly any of these search engine providers wants to disclose the ingredients in their recipe. I’ve also included a few search engines or search engine type applications that rely on collective or social intelligence to improve their search results.

If you have heard of any other semantic search engines that are not yet on the list, please leave a comment. They appear in alphabetical order, i.e. in no particular order. The information contained in ‘Notes’ is not intended as an independent evaluation. You might also want to check out the Top 100 list of alternative search engines on ReadWriteWeb – even though a number of search engines – sadly, are no longer online since the article was published in January 2007… Continue reading