  The production of microchips is a complex and thus well documented process.
Therefore, available textual data about the production can be overwhelming in
terms of quantity. This affects the visibility and retrieval of a certain piece
of information when it is most needed. In this paper, we propose a dynamic
approach to interlink the information extracted from multisource
production-relevant documents through the creation of a knowledge graph. This
graph is constructed in order to support searchability and enhance user's
access to large-scale production information. Text mining methods are firstly
utilized to extract data from multiple documentation sources. Document
relations are then mined and extracted for the composition of the knowledge
graph. Graph search functionality is then supported with a recommendation
use-case to enhance users' access to information that is related to the initial
documents. The proposed approach is tailored to and tested on microchip
design-relevant documents. It enhances the visibility and findability of
previous design-failure-cases during the process of a new chip design.
