Exploiting Inference to Improve Temporal RDF Annotations and Queries for Machine Reading.
Robert Schrag · 2012
Abstract—We describe existing and anticipated future benefits of an end-to-end methodology for annotating formal RDF statements representing temporal knowledge to be extracted from text, as well as for authoring and validating test and/or application queries to exercise that knowledge. Extraction is driven by a target ontology of temporal and domain concepts supporting an intelligence analyst’s timeline tool. Both the tool and the methodology are supported at several points by an implemented temporal reasoning engine, in a way that we argue ultimately advances machine reading technology by increasing both sophistication and quality expectations about temporal annotations and extraction. Index Terms—temporal knowledge representation and reasoning, extracting formal knowledge from text, machine reading, annotation interfaces and validation I.