Domain-specific knowledge graphs: A survey
B Abu-Salih - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …
revolution in knowledge representation. This is leveraged by the underlying structure of the …
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
Knowledge-based biomedical data science
TJ Callahan, IJ Tripodi… - Annual review of …, 2020 - annualreviews.org
Knowledge-based biomedical data science involves the design and implementation of
computer systems that act as if they knew about biomedicine. Such systems depend on …
computer systems that act as if they knew about biomedicine. Such systems depend on …
Automated clinical knowledge graph generation framework for evidence based medicine
To practice the evidence-based medicine, clinicians are interested to find the most suitable
research for the clinical decision making. The use of knowledge graphs (KGs) in evidence …
research for the clinical decision making. The use of knowledge graphs (KGs) in evidence …
Healthcare knowledge graph construction: State-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
Plausible reasoning over large health datasets: A novel approach to data analytics leveraging semantics
H Mohammadhassanzadeh, SR Abidi… - Knowledge-Based …, 2024 - Elsevier
Plausible reasoning is an interesting and viable approach for semantic data analytics as it
provides a non-deterministic and exploratory approach to inferring new knowledge from …
provides a non-deterministic and exploratory approach to inferring new knowledge from …
From data to insights: the application and challenges of knowledge graphs in intelligent audit
H Zhong, D Yang, S Shi, L Wei, Y Wang - Journal of Cloud Computing, 2024 - Springer
In recent years, knowledge graph technology has been widely applied in various fields such
as intelligent auditing, urban transportation planning, legal research, and financial analysis …
as intelligent auditing, urban transportation planning, legal research, and financial analysis …
DKDR: An approach of knowledge graph and deep reinforcement learning for disease diagnosis
Y Jia, Z Tan, J Zhang - 2019 IEEE Intl Conf on Parallel & …, 2019 - ieeexplore.ieee.org
Using artificial intelligence to solve medical problems has been an intriguing yet challenging
topic. In recent years, with the availability of electronic medical records (EMRs), many …
topic. In recent years, with the availability of electronic medical records (EMRs), many …
Knowledge net: An automated clinical knowledge graph generation framework for evidence based medicine
F Alam - 2023 - search.proquest.com
To practice the evidence-based medicine, clinicians are interested to find the most suitable
research for the clinical decision making. The use of knowledge graphs (KGs) and Neuro …
research for the clinical decision making. The use of knowledge graphs (KGs) and Neuro …
Summary report for the data exploration in the Web 3.0 Age (DEW) track
M Atzori, B Pes - 2018 IEEE 27th International Conference on …, 2018 - ieeexplore.ieee.org
Data Exploration in the Web 3.0 Age (DEW) is a track of the IEEE International Conference
on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). DEW aims …
on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). DEW aims …