Forrester Research

For which we are interested in the development of collaborative knowledge, the rapid growth of TermWiki is impressive. (www.termwiki.com) page bears online only seven months, but has already accumulated more than 650,000 terms. TermWiki growth rate is much higher than the Wikipedia in its early days. This rapid development is possible thanks to the Organization of data from TermWiki, unusual but very efficient, and its base wiki collaboration model. Unlike Wikipedia, which contains mainly unstructured data (text divided by a page without a particular order), TermWiki only uses structured data organized in a series of predefined attributes or meta tags. In this way, each portion of text in TermWiki belongs to a database entry, so it is easy to index, search, and translate.

For example, if you search for a term for digital cameras in TermWiki, the results leave only sectors of electronics of consumption or digital cameras. Why is it important this partnership with the sector? The biggest advantage is that people can find the information you need quickly and accurately. Internet is full of information flat and disorganised. So, when we introduce a word in a search like Google engine, it is likely that we get thousands of results. This happens because search engines can only index patterns of words and phrases without knowing precisely what the conceptual field of the content that surrounds it. Although the meta tags and keywords can be helpful, they are mainly at a level of page or web site, so it is impossible to accurately identify the conceptual target of each term field. Internet is still gathering information exponentially. The situation only can go worse as the number of search results is triggered, making make it even more difficult to find the specific information that we are looking for. A recent study conducted by the firm’s analysts Forrester Research shows that the information gathered on the Internet would be ten times more potent if it were organized in conceptual frameworks.