| Title | : | Ontology-enabled synthesis of simulation software for a complex engineering system |
| Speaker | : | Uma Sankari S S (IITM) |
| Details | : | Thu, 4 Jul, 2019 3:00 PM @ A M Turing Hall |
| Abstract: | : | A satellite launch vehicle is a complex dynamic system consisting of heterogeneous subsystems. Simulations
are carried out throughout the development phases of the launch vehicle for various objectives, using
appropriate simulation software. A large team of experts, based on the requirements, develops the software
for simulating the subsystems and environment of the vehicle. This development needs two types of
knowledge: Declarative knowledge; Inference knowledge. Domain experts gain this knowledge over years of
experience. Certain limitations exist in the current practice of developing the simulation software: an
important issue is that of the non-zero probability of human error. The aim of the proposed work is to demonstrate the feasibility of LV domain knowledge modeling and automation of a knowledge-intensive process. The process of development of simulation software, which requires knowledge from multiple disciplines, is chosen as the initial step for establishing the feasibility of knowledge modeling and demonstrating the modeling benefits. We designed a set of ontologies, using OWL- DL (SHOIQ (D)) and SWRL standards, for the domain of launch vehicles. Further, we envisaged a novel ontology-enabled strategy for enhancing the existing practices in LV domain. We implemented the envisaged strategy and demonstrated the process of automated generation of simulation software. The seminar will present how an ontology enabled approach is beneficial and can help identify the human-made errors, reduce the dependency on domain experts and improve the quality of existing practices in LV domain. |
