Semantic concept discovery over event databases

A concept discovery method, system, and computer program product include preparing a concept index for concepts built over a set of input data having input terms, building a vector representation of the concepts in the input data, receiving a set of query terms as an additional input, mapping the set of query terms to the concepts in the concept index, calculating at least one of a co-occurrence score for each of the concepts in the concept index by measuring their frequency of co-occurrence with the input terms' concepts and a similarity score for each of the concepts in the concept index by measuring the similarity of their vector representations according to a vector similarity measure, and ranking the concepts with respect to their relevance to the input terms by the at least one of the co-occurrence score and the similarity score.