Prof. Gultekin Ozsoyoglu
Prof. Meral Ozsoyoglu
Department of EECS, Case School of Engineering
We are developing develop a framework for “semantic-based” data
compression that allows querying and manipulation of compressed data, and
that provides significant storage savings due to compression. We have been
investigating compression techniques that are cognizant of (1) query expressive
power and integrity constraint specification of the data, and (2) feasibility
and efficiency of query processing and integrity enforcement over compressed
values. We have surveyed the database compression literature and categorized
the existing compression types as to what type of data querying they allow.
We are in the process of defining algorithms for simple data compression techniques
that allow database queries both for database data and for stream data.