Thomas Thurner

1000-and-one pulldowns

Personalisation interface
Image by wocrig via Flickr

Luckily, times have come, where semantic search techniques have found their way to enhance knowledge providing theme portals. Nearly once a week a new knowledge portal with built-in semantic search pops up. They deal with environmental issues, health care, economy etc. These sites are good examples how the vision of a knowledge web is fostered by semantic technologies. Such focused approaches are great showcases for “a” semantic web (even if they are not based on “the” RDF semantic web) in the next few months besides general knowledge portals like Wolfram Alpha.

But the potential of these semantic theme portals is often reduced essentially by their bad usability. You get lost in categories and flags – you get puzzled by pulldowns, mouseovers and embedded hierachies – it’s sometimes a mess out off 1001 functions. You need to understand the underpinning semantic concept to get oriented within these applications – and this is not the goal of the exercise. Search has to be easy.

To show the potential of semantic technologies, we need good examples, which offer good usability. This is a call to everyone to provide such examples.

See my favorites:

  • NextBio, a platform that enables life science researchers to search, discover, and share knowledge locked within public and proprietary data
  • reegle, the Search Engine for Renewable Energy and Energy Efficiency
  • CultureSampo, a Finnish cultural heritage platform for institutional organizations as well as private citizens
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Andreas Blumauer

Why Wolfram Alpha won´t replace Google

If Nova Spivack and Doug Lenat are positive with what they have seen from Wolfram Alpha, I am also close of being convinced that the internet community won´t be dissapointed by Alpha´s first release. Just remember, which hype was caused by Cuil´s PR-strategy of spreading news about their first release throughout the blogosphere, and scarcely anybody would talk about this engine anymore.

After all what I have read about Wolfram Alpha, one thing obviously can be stated: Wolfram Alpha will be a perfect addition to traditional search engines like Google, but will never replace it. For example: In the first paragraph of this blog I have used Google Services like “Google Blog Search” or “Google Trends” to prove some of my statements (in a broader sense: to give answers to those, who want to know, why this is my opinion). Such services Alpha won´t deliver, but it will do other things much better than Google. Doug Lenat:

At one extreme is, say, Google, which responds to almost anything like a faithful puppy bringing in the morning newspaper without understanding much of anything it’s fetching (recognizing words in what it returns, often leading to amusing or hair-raising inappropriate “ads” being displayed, and leading to tons of false positives and false negatives).  At the other extreme is, say, Cyc, which only can answer a small fraction of user queries, but can answer ones that require common sense (not just common sense queries like “Do surgeons often operate on themselves?”, but ones where the logical application of such knowledge is required to correctly disambiguate and parse the user’s query containing pronouns, elisions, ambiguous words, ellipsis, and so on) and where every piece of the query and every piece of the answer is as deeply understood as, say, arithmetic.  Wolfram Alpha is somewhere around the geometric mean of those two extremes.

Search engines or question answering machines (QA) which understand the meaning of the query and/or of the result are not completely new and some of them are really useful like good old START.

But the point is: In many cases of information demand people can´t express the right question.

Why didn´t START become the default browser if it can even answer questions? I think the USP of Alpha will be, that it can give the right answer to more questions than any other QA machine before. But still, the real “search engine revolution” won´t happen, until engines will be able to help users to formulate the proper questions and will help to interprate the right results. Therefore we need to rethink some search paradigms from scratch.