The other day I came across another search engine that use the semantic technologies extensively in its back-end infrastructure called Cluuz. At first glance, it has a very simple interface, and deployed the semantic technologies that focusing on the relationships between the keywords or terms searched by the users. Running a keyword search on its search bar normally will generate the Web pages with the exact keyword, some tags and images which derived originally from the aforesaid Web pages. As a starting point, the Cluuz concept can be considered employ the same concept as Evri and Twine because they let their users to search based on semantic technology, and from the keywords or terms they entered, these applications will then delve into the Web pages with the similar keywords, extract some important terms they perceived, and present it in a format that they preferred. The only difference is the format of presentation. Cluuz will generate the clusters of important terms and a sidebar fully occupied by the tags or entities in order to illustrate how they differ with other similar semantic applications and traditional search engine.
In order to let the people learn about the visible impact of semantic technologies, Cluuz has formatted the clusters which present users a so-called semantic graph (See the below picture). This semantic graph will thus illustrate the relationships of all the links and how they are being connected with one another. This makes possible if one is looking for a more specific information where Cluuz can deliver the visual and more intelligent information-access facilities by annotating the Web pages. By delivering the semantic graph as well as a tag cloud that listed all the important tags or entities, Cluuz believed that they will help their users to find the specific information in a faster manner than those traditional search engines which only provide list of URL links.
In technology settings, Cluuz uses the study of meaning in language. It has leveraged some of the well-known search technologies such as Yahoo! BOSS (Build your Own Search Service) and in a large way, it helps Cluuz to better deliver a custom, and innovative search experience for its users. However, this semantic search has often been characterized as a search capability that can’t provide relevant search results as most of the results generated are neither incorrect nor unhelpful.
