ABSTRACT

Large volumes of data that will be stored and accessed in future is unstructured. The unstructured data is generated in a very fast pace and uses large storage areas. This increases the storage budget. Extracting value from this unstructured data which balances the budget is the most challenging task. Archives of interactive media, satellite and medical images, information from social network sites, legal documents, presentations and web pages from various data sources affects the data center's ability to maintain control over the unstructured data. Therefore, it is very essential to design systems to provide efficient storage, and access to these vast and continuously growing repositories of unstructured data. This can be achieved by retrieving structured information from the unstructured data. In this paper, we discuss approaches to process and manage such data. We also elaborate the architecture, technologies and applications to facilitate system design and evaluation.