  We address the challenges and opportunities in the development of knowledge
systems for Sanskrit, with a focus on question answering. By proposing a
framework for the automated construction of knowledge graphs, introducing
annotation tools for ontology-driven and general-purpose tasks, and offering a
diverse collection of web-interfaces, tools, and software libraries, we have
made significant contributions to the field of computational Sanskrit. These
contributions not only enhance the accessibility and accuracy of Sanskrit text
analysis but also pave the way for further advancements in knowledge
representation and language processing. Ultimately, this research contributes
to the preservation, understanding, and utilization of the rich linguistic
information embodied in Sanskrit texts.
