A Semantic Extension of a Hierarchical Storage Management System for Small and Medium-sized Enterprises

The number of company data deposited in hierarchical storage management systems heavily increases. Thus, new approaches are necessary to keep track of a data pool. This paper introduces a semantic storage extension (SSE) for existing hierarchical storage management systems that allows them to exploit semantic relations between files and use them for a more efficient and more intelligent data management. Our approach enhances traditional hierarchical storage management systems regarding migration, deletion, and retrieval operations by making use of semantic relations between files and contextual knowledge. Thereby a predictive file management is possible, which contributes to an increasing system performance and a better user experience. To this end, the SSE uses extracted features of documents to define relations between them and also offers the possibility to specify additional knowledge by a domain expert.