Abstract: Methods and apparatuses for predicting set of multi-dimensional dependent data and non-measurable data from a set of multi-dimensional historical dependent and causal data are described. In one embodiment, the method comprises receiving input data that comprises multi-dimensional historical dependent data and causal data and anticipated activity data, determining a set of multi-dimensional predicted dependent data using a predictive model and the input data, creating non-measurable data based on the set of multi-dimensional predicted dependent data and the input data.

Abstract: A multi-tiered system for responding to natural language queries is using disclosed. The query resolution system returns zero or more links to content that is relevant to the users query. The present invention for query resolution combines two or more types of natural language query resolution methods, where the knowledge base for each of the methods comes from a single knowledge specification. The various different natural language query resolution methods differ fundamentally in how they match the user query to the web site content. The results of the resolution methods are ranked and all, some, or none of the results of each system may be displayed.