Data Frame Augmentation of Free Form Queries for Constraint Based Document Filtering
Source: Brigham Young University
The ever expanding nature of the web makes finding relevant documents increasingly difficult. Traditional free form query methods, primarily keyword queries, are favored by a wide array of users but appear inadequate for the task of high precision information retrieval. Other search models such as form or graphed based models, or those using controlled vocabularies have been proposed but require the user to adapt to the model. These alternative models work well in domain specific searches or in semantic environments, but have been met with limited success when searching extremely heterogeneous collections such as the web.