Abstract: In one aspect there is provided a method. The method may include identifying at least one ambiguous concept; collecting a first set of labels for a term, the first set of labels representative of a first context of the term in a document; collecting, for the at least one ambiguous concept, a second set of labels, the second set of labels representative of a second context of the at least one ambiguous concept in a knowledge base; determining a similarity value between each of the first labels and the second set of labels; and selecting, based on the determined similarity value, the at least one ambiguous concept, when the determined similarity value exceed a threshold, the selected at least ambiguous concept being related in meaning to the term. Related apparatus, systems, methods, and articles are also described.

Abstract: In one aspect there is provided a method. The method may include extracting, from a plurality of sources, at least one candidate concept related to a term contained in a document; annotating the at least one candidate concept with at least one of a uniform resource identifier or a uniform resource locator to identify information at a linked data source; disambiguating the at least one candidate concept, the disambiguation being on one or more distance values determined between a first context of the term and a second context of the at least one candidate concept; selecting, based on the disambiguating, the at least one candidate concept for the taxonomy, when the one or more distance values indicate a similarity between the selected at least one candidate concept and the term; and the like. Related apparatus, systems, methods, and articles are also described.