In recent years ontology-based systems engineering has grown significantly. Its raison d'etre
is to use ontologies to improve the systems engineering body of knowledge. Specifically …

With the arrival of the big data era, a lot of valuable data have been generated in the entire
product life cycle. The gathered product data contain a lot of design knowledge, which …

Product design is a highly involved, often ill-defined, complex and iterative process, and the
needs and specifications of the required artifact get more refined only as the design process …

With the advent of the big-data era, massive information stored in electronic and digital forms
on the internet become valuable resources for knowledge discovery in engineering design …

Product configuration is a crucial means to implement the mass customization paradigm by
assembling a set of customizable components to satisfy both customers' needs and …

Abstract Knowledge Based Engineering (KBE) is a research area for product design that
involves complex and iterative processes based on methodologies and technologies for …

When engineering content is created and applied during the product life cycle, it is often
stored and forgotten. Current information retrieval approaches based on statistical methods …

Extant systems engineering standards are so fragmented that the conceptualization of a
cohesive body of knowledge is not easy. The discrepancies between different standards …

Abstract Compared with Computer Aided Design (CAD) to use computer graphics
technologies to describe geometric information for the product design, many new …

Many types of heterogeneous CAD models created by previous product development
activities are stored in enterprise databases. Searching reusable CAD models for engineer …