Combining machine learning and semantic web: A systematic mapping study

A Breit, L Waltersdorfer, FJ Ekaputra, M Sabou… - ACM Computing …, 2023 - dl.acm.org
In line with the general trend in artificial intelligence research to create intelligent systems
that combine learning and symbolic components, a new sub-area has emerged that focuses …

[PDF][PDF] Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management.

P Li, Q Zhao, Y Liu, C Zhong, J Wang… - Computers, Materials & …, 2024 - cdn.techscience.cn
Enterprise risk management holds significant importance in fostering sustainable growth of
businesses and in serving as a critical element for regulatory bodies to uphold market order …

Manufacturing knowledge graph: a connectivism to answer production problems query with knowledge reuse

L He, P Jiang - IEEE Access, 2019 - ieeexplore.ieee.org
Manufacturing knowledge (MK) is enjoying a “new golden age” in the academic domain,
marked by vast reuse to support product-related production problems (PPs) solving decision …

Knowledge modeling: A survey of processes and techniques

W Yun, X Zhang, Z Li, H Liu… - International Journal of …, 2021 - Wiley Online Library
Abstract Knowledge modeling is an important step in building knowledge‐based
applications. Understanding the processes of knowledge modeling and the techniques …

Collaborative task of entity and relation recognition for developing a knowledge graph to support knowledge reasoning for design for additive manufacturing

A Haruna, M Yang, P Jiang, H Ren - Advanced Engineering Informatics, 2024 - Elsevier
Additive Manufacturing (AM) is gaining acceptance as a strategic manufacturing technique
and technology for allowing new product development. Due to the lack of knowledge, design …

DUSKG: A fine-grained knowledge graph for effective personalized service recommendation

H Wang, Z Wang, S Hu, X Xu, S Chen, Z Tu - Future Generation Computer …, 2019 - Elsevier
The last decade has witnessed the rapid development of service-oriented computing,
resulting in a tremendous growth of services which further calls for novel approaches for …

知识图谱在商业银行风控领域的研究与应用综述.

袁俊, 刘国柱, 梁宏涛, 罗清彩 - Journal of Computer …, 2022 - search.ebscohost.com
伴随金融创新大潮, 商业银行开始应用智能技术解决风控领域问题. 在金融风险尤其是银行客户
信用风险日益多样化的背景下, 提升商业银行的风险管理能力已是刻不容缓 …

Semantic web machine learning systems: An analysis of system patterns

L Waltersdorfer, A Breit, FJ Ekaputra… - Compendium of …, 2023 - ebooks.iospress.nl
In line with the general trend in artificial intelligence research to create intelligent systems
that combine learning and symbolic techniques (aka neuro-symbolic systems), a new sub …

Social production system: A three-layer smart framework for implementing autonomous human-machine collaborations in a shop floor

H Shi, M Yang, P Jiang - Ieee Access, 2021 - ieeexplore.ieee.org
The continuous fast-changing of production requirements and the development of advanced
information technology have promoted the development of the production system in a more …

Kadaster knowledge graph: Beyond the fifth star of open data

S Ronzhin, E Folmer, P Maria, M Brattinga, W Beek… - Information, 2019 - mdpi.com
After more than a decade, the supply-driven approach to publishing public (open) data has
resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have …