The Semantic Search Engine
A Semantic Search engine has been implemented customizing the Revealer Search Engine to exploit the ontological information derived by the Semantic Processing carried out in this project.
- Retrieve documents (as well as passages or sentences) from the company’s document collection that refer to specific concepts;
- Enable a Semantic Filter of the retrieved material (e.g. selecting only sentences related to the Analysis of the “Design Pressure” of an “XMT”);
- Enable Advanced Reports from the retrieved material (e.g. clustering results of a Search Engine by considering the specific requirements involved in the retrieved texts)
The development of the user interface has been carried out taking into account the following guidelines:
Above, a screenshot of a subset System results for the query “XMT” when the “Pressure” concept is selected, with classified and color-coded information. The color-coding allows the user to quickly focus on the type of requirement the specification is dictating.
The “soft” requirements are notoriously difficult to identify and fully chart
The system enables the engineer to quickly discriminate between “hard” quantitative requirements (i.e. numeric values of performance such as pressure, temperature, speed, etc.) and the harder to identify “soft” or “modal” requirements, which stipulate the intended mode of operation, maintenance, man-machine interaction. The “soft” requirements are notoriously difficult to identify and fully chart, the system assists the design team by providing the data in a form conducive to codification in action or interface registers.