System for rapid ingestion, semantic modeling and semantic querying over computer clusters

Abstract

A computer-implemented system within a computational cluster for aggregating data from a plurality of heterogeneous data sets into a homogeneous representation within a distributed, fault tolerant data source for the subsequent high-throughput retrieval, integration, and analysis of constituent data regardless of original data source location, data source format, and data encoding is configured for reading an input data set, generating a source data model based on the input data set, generating a vocabulary annotation and a profile of said source data model, executing semantic processing on said source data model so as to produce a normalized model based on standard ontology axioms and expanding the normalized model to identify and make explicit all implicit ontology axioms, and executing semantic querying on said data model using parallelized ontology reasoning based on an Enhance Most-Specific-Concept (MSC) algorithm.