Cyberia: Multiple ViewpointsInformation Retrieval and Exploration through Multiple Viewpoint Systems
Multiple viewpoints are particularly well suited to addressing the problem of vocabulary mismatch. Frequently a searcher frames the description of an information need -- the query -- in a vocabulary that does not communicate the distinguishing characteristics of the information need to the system, due to misunderstanding or ignorance of how the system represents and searches within a document collection. Using more than one viewpoint can improve the situation by increasing the likelihood of vocabulary overlap between user and system, and by providing opportunities for exploring and better understanding the collection by moving among the viewpoints.
The Evoc Project is an example of multiple viewpoints used in the text-based search of a store of scientific datasets. Multi-Channel CBIR" is an example of applying multiple viewpoints to the realm of image retrieval.