1) The document presents a novel approach to calculating semantic similarity between job descriptions using part-of-speech tagging to represent each description as sets of object-action-attribute triplets. 2) It calculates similarity between corresponding elements in the triplet sets to create a similarity matrix, then maps triplets between descriptions to calculate an overall similarity score. 3) The approach was tested on job descriptions from an IBM recruitment system and found to perform competitively with other document similarity methods while not requiring a training corpus.