Resolving ambiguous preposition phrase for text mining applications

Text Mining is one of the computational intelligence research areas. The main goal of text mining tool is to discover knowledge which is embedded in unstructured text. The first step of text mining is to extract fact from the texts. However, to build a robust text mining tool is very complex. The first step requires the tool to process a natural language. The major challenging issue in any natural languages is the ambiguity problem. The problem may occur at lexical and phrase levels. This paper addresses ambiguity problem which occur in the preposition phrase, and presents a new technique for resolving the problem. The technique has been developed by applying possibility theory, fuzzy set, and context knowledge. The technique has been implemented and tested using a set of test cases and promising results are obtained.