The evolution, challenges, and future of knowledge representation in product design systems

By Senthil K. Chandrasegaran, Karthik Ramani, Ram D. Sriram, Imre Horváth, Alain Bernard, Ramy F. Harik, Wei Gao. Comput. Aided Des., 2013

696 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/941b4c7bcab4bca8b125eee6376eabe9bf50eba6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Andrew Yeh-Ching Nee
2. Xiangyu Wang
3. Soh-Khim Ong

In Management of Technology and Innovation

1. Andrew Yeh-Ching Nee

Citations in the corpus

• A comprehensive survey of augmented reality assembly research (2016, background): “While knowledge is traditionally viewed as structured information, it can also be considered as information in context, i.e., both the content and the relevant context of the information should be considered [168].”