Research on Frontier Discovery of Technological Innovation Based on Knowledge Flow

Dechao Wang, Yongjie Li, Jian Zhu, Xiaoli Tang

2025

Abstract

Amidst intensifying technological competition, technological innovation fundamentally arises from the flow of scientific knowledge into technical knowledge. Precisely characterizing the features and connotation of this knowledge flow is therefore crucial for identifying the frontiers of technological innovation. Adopting a semantic flow perspective, this study developed a simulation framework to model semantic flow between documents, progressing from key knowledge elements to the full-text level. Leveraging deep learning models, it then re-identified knowledge flow relationships between documents. The concept of knowledge meme was introduced to quantify the propagation dynamics (intensity and scope) of knowledge units across scientific and technical knowledge systems. Subsequently, a knowledge flow network connecting patents and academic papers in the lung cancer domain was constructed. Building upon this network, the substantive content of the knowledge flows was measured. This research achieved the identification and reconstruction of knowledge flow relationships between scientific and technical documents. Furthermore, by analyzing the content and communication patterns of computable knowledge units, it elucidated the frontiers of technological innovation. This approach holds significant implications for understanding science-technology linkages and identifying emerging technological innovation frontiers.

Paper Citation

in Harvard Style

Wang D., Li Y., Zhu J. and Tang X. (2025). Research on Frontier Discovery of Technological Innovation Based on Knowledge Flow. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN , SciTePress, pages 294-301. DOI: 10.5220/0013708800004000

in Bibtex Style

@conference{kdir25,
author={Dechao Wang and Yongjie Li and Jian Zhu and Xiaoli Tang},
title={Research on Frontier Discovery of Technological Innovation Based on Knowledge Flow},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2025},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013708800004000},
isbn={},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Research on Frontier Discovery of Technological Innovation Based on Knowledge Flow
SN -
AU - Wang D.
AU - Li Y.
AU - Zhu J.
AU - Tang X.
PY - 2025
SP - 294
EP - 301
DO - 10.5220/0013708800004000
PB - SciTePress