Content-Based Fuzzy Search in a Multimedia Web Database

This paper presents the mechanisms employed to carry out content-based fuzzy searches in a multimedia applications database. These searches can be carried out through the World Wide Web, allowing for the search for media whose content has a certain degree of similarity with that defined in the query predicate. The imprecision involved in the semantic information that defines the content of the media is treated by means of proximity relations to compare terms established in the query with those found in the database. A description is given of the formulas used to calculate the similarity degree between these terms to allow for classification of the media in the response set, as well as the algorithms used to search through the database to retrieve the media.