Abstract: A search engine is disclosed that utilizes natural language processing (NLP) techniques. The search engine utilizes meaning-based natural language processing using ontological semantics in analyzing the meaning of queries and the searched text. This system analyzes Web pages and queries. The NLP method produces equivalent meanings to a sequence of user initiated words, wherein relevance parsing of the original query produces a display of queries/questions as hot links to the next round of searching without additional typing by the user.

Abstract: A method for analyzing a number of candidate answer texts to determine their respective relevance to a query text, includes the following steps: producing, for respective candidate answer texts being analyzed, respective pluralities of component scores that result from respective comparisons with the query text, the comparisons including a measure of word occurrences, word group occurrences, and word sequences occurrences; determining, for respective candidate answer texts being analyzed, a composite relevance score as a function of the component scores; and outputting at least some of the candidate answer texts having the highest composite relevance scores.