eStage sets a new stage in data mining
Spiders in the web, figuratively speaking, are the terms given to those tools that sift through the Internet to find the data they've been instructed to find. These web crawlers trawl through the multitude of servers in which the information is stored and index the found results. Their drawback is that they will index all pages found that contain the keyword search criteria regardless of how relevant the information is. In other words, they have no hierarchical structure of conceptual relationships. Following such links however, is often more time consuming than its worth, as the user now has to go through all pages to find the data they want. While various modern search engines have improved on such features to some degree, most still provide a multitude of hits with little or no bearing on the subject being researched. Designed by LemonLabs in Germany, eStage is a search engine with a difference. Users may only navigate according to terms or phrases based on hierarchical concepts that can be grouped according to categories such as productions, attributes and personalities. For example, entering the search criteria spectacles may generate such concepts as manufacturing spectacles or spectacle fashion or even the history of spectacles. Vector voting method is the name given to this particular system of returning hits that eStage submits. When examining a text document for example, eStage will count the number of instances it encounters a word in a document, and build an index based on its findings. Manufacture for example might appear half a dozen times, making the particular document more relevant to manufacturing spectacles rather than to the spectacle fashion criteria. Grouping data in such a manner means that information is sorted according to easily discernable information spaces, thus removing the ambiguities traditional search engines return. Additionally it also means that the user never loses the semantic context or encounters data belonging to a completely alien context. While traditional search engines may return hundreds, if not thousands of hits, eStage presents only a few precisely selected documents that are more pertinent to the information you're seeking. This streamlines the entire data mining process, based on the fact that a query generates a search based also on related concepts. Traditional search engines have the potential to bring the entire web's content home, eStage provides only what's relevant. You can experience how the new features for data mining and information retrieval act on stage. Visit the information portal for European puppetry at www.epuppetry.com as an interesting example of the eStage technology.
