SYSTEM AND METHOD FOR BUILDING A SEMANTIC NETWORK CAPABLE OF IDENTIFYING WORD PATTERNS IN TEXT

A semantic network is disclosed herein that is useful for identifying word patterns in text. The semantic network may be used to identify word patterns accurately and substantially in real time. The semantic network is comprised of recognized words, which form word patterns, and objects, which are identified by certain of the word patterns. The word patterns are located at nodes in the semantic network. The nodes are linked in a hierarchical structure, with varying, identifiable levels. Under the method of building a semantic network, a computer program is provided and loaded onto a computer. The software is preferably linked with a knowledge base from which identified objects can be obtained. The objects are each classified by object type as they are received. Each object has a label which corresponds to a upper level word pattern. The word pattern is parsed or “tokenized” and combinations of the words in the label are assigned as word patterns at various nodes. The word patterns that together form a higher level word pattern are linked together and word patterns are also labeled according to their level in the hierarchy of the semantic network. The word patterns corresponding to labels of objects are linked to the objects they identify.