Truthing, Testing and Evaluation Issues in Complex Systems
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A fuzzy symbolic inference system for postal address component extraction and labelling
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
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The postal address data and the domain information for address validation contain qualitative, numeric, interval and other types of data. The efficient processing of such data required for postal automation needs a robust data structure that facilitates their storage and access. A symbolic data structure is proposed to represent the postal address and the information relevant for validating the postal address is stored in a newly devised symbolic knowledge base. The symbolic representation gives a formal structure to the information and hence is more beneficial than other representations such as frames, which do not reflect the structure inherent in the domain knowledge. The process of postal address validation checks the different components of the postal address for consistency before using it for further processing. In the present work a symbolic knowledge base supported address validation system is developed and tested for about 500 addresses. The system efficiency is observed to be 95.6% in validating the addresses automatically.