I’ve put up a few posts about the controversial semantic web or ‘Web 3.0′. Most people have a gut reaction that the concept is buzzword-heavy and lacking in practicality, or even a clear definition. Dr Riza C. Berkan summed up the issues today with intellectual rigor in a ReadWriteWeb post:

The two basic views of a semantic search are identified by the location of the semantic resources to be implanted. The first view is to embed the semantic resources in the Web pages themselves. It is called the “Semantic Web”. Why not compose Web pages in a structure that is semantics friendly?

…The “Semantic Web” approach has been around for a long time now. Unfortunately, it is based on an unrealistic assumption that every Web author will abide by the complex rules of semantics - not to mention the education it requires - and place content in the correct buckets of mysteriously unified standards. Another form of this approach may be to design Web factories that crank out refined Web pages once fed by ordinary Web pages. Of course if there is more than one factory, you have the standards issue again. In this day and age of fast content production, the Semantic Web seems to be more idealism than realism.

Dr Berkan goes on to discuss the pros of focusing efforts to understand the user at the search stage:

Without relying on statistics, long-tail queries can be analyzed by semantic algorithms on the fly, and bring search results with the accurate context… a semantic approach is very effective in handling dynamic content and can unleash its full power the second the content is born.

The argument, highly valid, is that it is easier to make one search engine intelligent than billions of web pages.

Dr Berkan’s company, hakia, offers a semantic search engine, as do Cognition Search and Lexxe. Powerset is working on theirs.

VortexDNA shares Dr Berkan’s view—in fact, we’re taking one step further away from the content. The idea behind MyWebDNA is not to create a new search engine, but a universal measure of relevance that can be overlaid onto any search engine.

Our tactics are different: the means of determining relevance can be through context, meaning, or, in our case, the purpose and values of the user. But our fundamental approach is the same: create the right lens, and the results will come into focus.

This entry was posted on Tuesday, May 29th, 2007 at 12:23 pm and is filed under Relevance, Predictive search, Personalized search, Semantic Web, Search, Web 3.0, Google, Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.