Similarity Calculation Framework for Heterogeneous Multimedia Web Resources

Abstract

With the huge amount and diversity of multimedia resources available on the web, it is becoming necessary to satisfy user’s information and knowledge needs in the mobile computing era. These resources need to be described and correlated systematically to allow applications and web services to access and reuse them properly. Although popular web search engines are very efficient in retrieving any type of information they are not designed to search different types of multimedia information at the same time. Traditional information retrieval techniques should be enhanced by semantic techniques, which analyze web resources information and metadata and use similarity calculations to find correlations between any two resources on the web. Web resources metadata are the attribute values that characterize a multimedia file and give a description about its content. In this research we propose a method that measures the semantic similarity between multimedia resources in the web by using resources’ metadata attributes. CCS concepts: Information Systems---Information Retrieval---Retrieval Models and Ranking ---Similarity Measures.