Design and Implementation of an Evolutional Data Collecting System for the Atomic and Molecular Databases

We study an evolutional system to assist an individual to collect articles, which contain atomic and molecular data, and to develop the database automatically. A text classification technique based on LVQ (Learning Vector Quantization) is proposed and its performance is evaluated using abstracts from atomic and molecular bibliographic databases as training and test samples.