Development of Generic Search Method Based on Transformation Invariance

The needs of efficient and flexible information retrieval on multi-structural data stored in database and network are significantly growing. Most of the existing approaches is designed for a particular content and data structure, e.g., natural text and relational database. We propose a generic information retrieval method directly applicable to various types of contents and data structures. The power of this approach comes from the use of a generic and invariant feature information obtained from byte patterns in the files through some mathematical transformation. The experimental evaluation of the proposed approach for both artificial and real data indicates its high feasibility.