Relational meta-model and associated domain context-based knowledge inference engine for knowledge discovery and organization

Abstract

Methods and systems for knowledge discovery and organization employ a relational meta model and domain context-based knowledge inference engine to produce answers to queries that involve inferences among items stored as knowledge in a knowledgebase.

What is claimed is: 
     
         1 . A method for knowledge discovery and organization, comprising receiving, in a computer-based knowledge inference system which includes a relational meta model and domain context-based knowledge inference engine, a user query; using determined relationships between keywords and domain information discovered from the query to access and retrieve from remote data stores, knowledge deemed to be applicable to the query, wherein the relationships and domain information are determined through matching of keywords in the query with information included in the relational meta model; and presenting the knowledge retrieved from the remote data stores to a user.