Cross-domain function analysis and trend study in Chinese construction industry based on patent semantic analysis

Wang, La-yin; Zhao, Dong

doi:10.1016/j.techfore.2020.120331

Cited by 11 publications

(7 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TRIZ masters have defined a set of versatile tools for decades of systematic innovation development [ 4 , 5 , 84 ]. Most researchers believe that using TRIZ tools manually is time consuming, tedious and in many cases unintelligible because they are faced with a large amount of textual information often in the form of patents [ 22 , 39 , 85 ]. Consequently, to increase the precision and facilitate the utilization of TRIZ tools, integration with artificial intelligence (AI) techniques is essential, as shown in Table 4 .…”

Section: Data Extraction and Analysismentioning

confidence: 99%

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

View full text Add to dashboard Cite

Section: Data Extraction and Analysismentioning

confidence: 99%

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…Indicators of innovation includes patents, among others, such as R&D expenditure, human resources, collaborative networks, surveys, or new product releases. Patent statistics have been increasingly used to extract innovation patterns and conduct technology forecasting studies ( Dziallas and Blind, 2019 ; Wang and Zhao, 2021 ). Therefore, patents represent a meaningful way to gain insights on technological change and provide an output of innovation measurements.…”

Section: Introductionmentioning

confidence: 99%

Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents

Acaru

Abdullah

Lai

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…TRM is a comprehensive approach to capturing changes in technology and markets over time in an integrated manner. It is not only a flexible approach to analyzing technologies and market requirements [34,35], but it can also create a more effective way to track and analyze the latest technology trends by integrating data analysis tools [36][37][38]. Pharmaceutical technology innovations are influenced by various factors, such as changing customer expectations, uncertain intellectual property (IP) procedures, unconsidered technology changes, and resource requirements [23,[39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

View full text Add to dashboard Cite

Hyperuricemia is a metabolic disease with an increasing incidence in recent years. It is critical to identify potential technology opportunities for hyperuricemia drugs to assist drug innovation. A technology roadmap (TRM) can efficiently integrate data analysis tools to track recent technology trends and identify potential technology opportunities. Therefore, this paper proposes a systematic data-driven TRM approach to identify potential technology opportunities for hyperuricemia drugs. This data-driven TRM includes the following three aspects: layer mapping, content mapping and opportunity finding. First we deal with layer mapping.. The BERT model is used to map the collected literature, patents and commercial hyperuricemia drugs data into the technology layer and market layer in TRM. The SAO model is then used to analyze the semantics of technology and market layer for hyperuricemia drugs. We then deal with content mapping. The BTM model is used to identify the core SAO component topics of hyperuricemia in technology and market dimensions. Finally, we consider opportunity finding. The link prediction model is used to identify potential technological opportunities for hyperuricemia drugs. This data-driven TRM effectively identifies potential technology opportunities for hyperuricemia drugs and suggests pathways to realize these opportunities. The results indicate that resurrecting the pseudogene of human uric acid oxidase and reducing the toxicity of small molecule drugs will be potential opportunities for hyperuricemia drugs. Based on the identified potential opportunities, comparing the DNA sequences from different sources and discovering the critical amino acid site that affects enzyme activity will be helpful in realizing these opportunities. Therefore, this research provides an attractive option analysis technology opportunity for hyperuricemia drugs.

show abstract

Cross-domain function analysis and trend study in Chinese construction industry based on patent semantic analysis

Cited by 11 publications

References 39 publications

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

Contact Info

Product

Resources

About