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Biometric Identity Information Integration with Semantics

With the advent of online accessible biometric identity information, how to integrate such sensitive and massive data gathering information has become a fundamental issue. In the last years, cutting-edge biometric identity recognition based on multimodal fusion techniques has reached an important innovation peak, largely due to the maturity of the technology. However, the information on the Web still remains purely syntactic and scarce. As the semantic Web is maturing and data and information integration is growing, harnessing the synergy in both approaches can leverage the lack of widely-accepted standards by fostering the use of semantic Web technologies to represent, store and query metadata and data across bioinformatics datasets. In this paper, we present a semantically- enhanced approach for biometric identity information integration, eventually depicting the forthcomings of our approach.