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Professor Toman's interests range over a variety of topics in the area of database and information systems. Of particular interest have been topics related to management of temporal and historical data in information systems. Professor Toman has focused on developing practical and theoretically sound query languages for temporal database systems as extensions of the industry standard SQL.
Professor Toman has also been developing techniques related to data expiration. These techniques form an essential component of historical data warehousing solutions. Whenever large amounts of data are repeatedly collected over a long period of time, it is necessary to have a clear approach to identifying parts of the data that are no longer needed, and a policy that allows disposing and/or archiving these parts of the data. Such policies are necessary even if adding storage to accommodate ever-growing collections of data were possible, since the growing amount of data needs to be examined during querying and in turn leads to deterioration of query performance over time. Professor Toman's research has led to the development of novel query-driven expiration techniques that use the knowledge of queries asked over the collection of data to decide which parts of the data are no longer needed. The research has also shown the limits of such techniques and their relationship to query processing in streaming systems (DSMS).
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Description Logics (2023)
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International Workshop on Description Logics (DL) (2022)
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