Characterization and collection of information from heterogeneous multimedia sources with users' parameters for decision support

TL;DR

This paper proposes a method for collecting and integrating multimedia information from diverse sources using user parameters and a federated database to support decision-making.

Contribution

It introduces a novel approach to multimedia information collection and relevance determination based on user and usage parameters within a federated database framework.

Findings

Seven classifications of multimedia documents identified

Enhanced relevance of information through parameter integration

Framework supports dynamic and divergent user needs

Abstract

No single information source can be good enough to satisfy the divergent and dynamic needs of users all the time. Integrating information from divergent sources can be a solution to deficiencies in information content. We present how Information from multimedia document can be collected based on associating a generic database to a federated database. Information collected in this way is brought into relevance by integrating the parameters of usage and user's parameter for decision making. We identified seven different classifications of multimedia document.