A Very Useful Engine
A while back, I wrote about how useful it would be to be able to combine collaborative information and structured data. While Wikis and other collaborative information sources are great, I would argue that they aren’t useful until they can be used in aggregated or statistical form for strategic decision making or automation. Until then, they are too “abstract” to be useful (at least in the mechanical sense of the word).
Recently, ran across DBPedia, an organization that is turning Wikipedia entries into RDF, the language used for the semantic web. DBPedia has actually has downloadable datasets based on Wikipedia that are available today. These are datasets that can be queried with existing tools and linked to other datasets. Wow!
Even if you aren’t a Wikipedia fan, this is really a big step forward for the enterprise. Think about the amount of knowledge that exists in your organization that isn’t captured, but is critical to your operations. It has always been a big pain to try and sit down and do formal knowledge engineering. However, most people are comfortable enough with a Wiki to sit down and start typing. For a small organization this might not be such a big deal, but for a larger enterprise this could provide some very useful information.
The first time your Director or CXO can make a financial decision based exclusively on the information from your company wiki, it will have proved its worth. Until then, it is just another trendy tool. The work that DBPedia is doing is an important step in making this a reality.
