Results 11 to 20 of about 1,911,756 (319)
Supersemantics for Knowledge Extraction [PDF]
, 2015 In several areas of science, the publication rate exceeds the human reading speed. Text mining tackles this problem by automatically extracting relevant knowledge from scientific articles. This thesis introduces Supersemantics as an approach to integrate different linguistic and other adjacent fields.
Philipp Blohm
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Knowledge Extraction via Decentralized Knowledge Graph Aggregation [PDF]
2021 IEEE 15th International Conference on Semantic Computing (ICSC), 2021 In many industrial manufacturing processes, human operators play a central role when it comes to parameterizing the involved machinery and dealing with errors in the process. However, large parts of the acquired process knowledge are tacit, leading to difficulties sharing the knowledge between operators.
Nordsieck, Richard +3 more
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Knowledge Graph Extraction from Videos [PDF]
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020 10 pages, 4 ...
Mahon, L +3 more
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Trusted Data Storage Architecture for National Infrastructure
Sensors, 2022 National infrastructure is a material engineering facility that provides public services for social production and residents’ lives, and a large-scale complex device or system is used to ensure normal social and economic activities.
Yichuan Wang +4 more
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Journal of Hydroinformatics, 2023 Artificial neural networks (ANNs) are labeled as black-box techniques which limit their operational uses in hydrology. Recently, researchers explored techniques that provide insight into the various elements of ANN and their relationship with the ...
Vikas Kumar Vidyarthi, Ashu Jain
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Cybersecurity Knowledge Extraction Using XAI
Applied Sciences, 2022 Global networking, growing computer infrastructure complexity and the ongoing migration of many private and business aspects to the electronic domain commonly mandate using cutting-edge technologies based on data analysis, machine learning, and ...
Ana Šarčević +3 more
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Modelling Knowledge Extraction to Make Value in Service Organizations [PDF]
International Journal of Digital Content ManagementPurpose: Considering the development of technology and the use of artificial intelligence in the process of knowledge management in the service sector as well as intelligent knowledge extraction, this study aims to model an intelligent knowledge ...
Mila Malekolkalami +3 more
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A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs [PDF]
Journal of Information Science Theory and Practice, 2018 With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia.
Haklae Kim
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Machine Learning and Knowledge Extraction, 2023 Machine learning (ML) has been used in different ways in the fight against COVID-19 disease. ML models have been developed, e.g., for diagnostic or prognostic purposes and using various modalities of data (e.g., textual, visual, or structured).
Oliver Lohaj +4 more
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Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification
Remote Sensing, 2021 Reality capture technologies, also known as close-range sensing, have been increasingly popular within the field of engineering geology and particularly rock slope management.
Ioannis Farmakis +3 more
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