New Methodologies for Automated Data Fusion Processing.

摘要

This report initiates investigations into some of the newer technologies to determine if they have useful applications to the problem of automating the fusion of multisource data. The main technology areas discussed are natural language processing (NLP), production rules, and pattern recognition. The theory of possibilities is also considered. An integrated data fusion system is postulated which would employ a number of different, interacting techniques. Early stages of system processing would require NLP techniques to restructure narrative data into a form useful for automated fusion with other kinds of data. The use of 'frames' as knowledge representation structures is considered for this part of the processing. Techniques involved in later processing could include production rules and pattern recognition. Possible applications of these two techniques to data fusion problems are discussed. (Author)