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From business to education to research, one of the most common needs in today’s world is the ability to efficiently and effectively store and organize information. In the past several decades, the amount of information required to perform even everyday tasks has dramatically increased. In addition, there has been a substantial increase in the availability of more sophisticated and complex data, such as imagery, multimedia, geospatial and remotely sensed data. As our need for more extensive and complex information has increased, so has the size and complexity of databases used to store this information. To even further complicate the situation, needed data often resides in various independent, distributed databases as well as in unstructured forms such as social media and web sites. This has resulted in a greater need for more flexible, scalable and efficient database technology that can be used to store, query, and combine massive amounts of various types of data that are distributed over multiple structured and unstructured data sources [1, 2, 3].
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- Semantic Wrapper: Concise Semantic Querying of Legacy Relational Databases
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