Dictionaries for Material Properties, Compositions and Processing conditions used for Intelligent Search on Steel Related Publications

Abstract

Knowledge of material properties, micro-structures, underlying material composition and manufacturing process parameters that the material has undergone is of significant interest to materials scientists and engineers. A large amount of information of this nature is available in publications in the form of experimental measurements, simulation results, etc. However, getting to right information of this kind that is relevant for a given problem on hand is a non-trivial task. First an engineer has to go through a large collection of documents to select the right ones. Then the engineer has to scan through these selected documents to extract relevant pieces of information. Our goal is to help automate some of these steps. Traditional search engines are not of much help here, as they are keyword centric and weak on relation processing. To address this problem, we have developed a domain specific search engine, that processes relations to significantly improve search accuracy. This engine uses dictionary matching based algorithm to extract instances of various domain entities such as material property, elemental composition, manufacturing process and their parameters. The dictionaries used by the algorithm are submitted as part of this data submission.