Zobrazeno 1 - 10
of 614
pro vyhledávání: '"ontology construction"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 6, Pp 1637-1647 (2024)
With the growth of water conservancy and the increasing demand for information, handling and representing large volumes of water-related data has become complex. Particularly, scheduling textual data often exists in natural language form, lacking cle
Externí odkaz:
https://doaj.org/article/38e1d72572554f33a5a15ef051b7c8a3
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 2, Pp 53-62 (2024)
To solve the problems of unstructured data organization, insufficient detailed description of entity relationship and lack of standardized expression of knowledge representation in the construction of knowledge graph in the field of early warning equ
Externí odkaz:
https://doaj.org/article/370e5570f2ba4bc7adc0a95d366ab8ba
Publikováno v:
IEEE Access, Vol 12, Pp 82354-82383 (2024)
Researchers are working towards automation of ontology construction to manage the ever-growing data on the web. Currently, there is a shift from the use of machine learning techniques towards exploration of deep learning models for ontology construct
Externí odkaz:
https://doaj.org/article/d8bcc85b002c4cbe969f701729745a28
Autor:
Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu, Gong Cheng
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Objective To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies. Materials and methods We used various data sources, including Chinese clinical practice guideli
Externí odkaz:
https://doaj.org/article/45b5127b5fd0405eb912c96998f14ae4
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1201-1217 (2023)
Abstract Cyber-attack activities are complex and ever-changing, posing severe challenges to cybersecurity personnel. Introducing knowledge graphs into the field of cybersecurity helps depict the intricate cybersecurity landscape and provides technica
Externí odkaz:
https://doaj.org/article/50cdc37f72fb42b5be2c9eaa012fa18f
Autor:
Cong Rui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we first construct ontology and entity learning to construct a knowledge graph by matching the knowledge to the schema layer. Then, we obtain users’ learning styles, extract interest keywords from user behavioral data, map them into
Externí odkaz:
https://doaj.org/article/666ec1197969469280b3a54a002de6af
Autor:
Wu Jiexia
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The purpose of this paper is to present a pedagogical model for mapping subject knowledge in the field of music education. The model includes two aspects: the extraction of entities and inter-entity relationships within the subject domain and the con
Externí odkaz:
https://doaj.org/article/bbbcda13bfdd43c0b1cb81518caa2aca
Publikováno v:
网络与信息安全学报, Vol 9, Pp 164-174 (2023)
As a major strategic technology, artificial intelligence is developing rapidly while bringing numerous security risks.Currently, security data for artificial intelligence is collected from disparate sources and lacks standardized description, making
Externí odkaz:
https://doaj.org/article/7e425069031c4f7d9d6b6dbe8edd6927
Autor:
Yaghoub Norouzi, Afsaneh Yalveh
Publikováno v:
علوم و فنون مدیریت اطلاعات, Vol 8, Iss 3, Pp 147-176 (2022)
Objectives: The current research aims to evaluate and analyze the widely used ontology production software in representing concepts to select the most appropriate software.Methods: This research was conducted in terms of applied purpose with a quanti
Externí odkaz:
https://doaj.org/article/f9f0b36b0cc34570ab5804f2124e1236
Publikováno v:
Kybernetes, 2021, Vol. 51, Issue 2, pp. 535-556.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-11-2020-0746