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 …
[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
A divide and conquer framework for Knowledge Editing
As Pre-trained language models (LMs) play an important role in various Natural Language
Processing (NLP) tasks, it is becoming increasingly important to make sure the knowledge …
Processing (NLP) tasks, it is becoming increasingly important to make sure the knowledge …
Research of Chinese intangible cultural heritage knowledge graph construction and attribute value extraction with graph attention network
T Fan, H Wang - Information Processing & Management, 2022 - Elsevier
The development of digital technology promotes the construction of the Intangible cultural
heritage (ICH) database but the data is still unorganized and not linked well, which makes …
heritage (ICH) database but the data is still unorganized and not linked well, which makes …
[HTML][HTML] A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling
It has become progressively more evident that a single data source is unable to
comprehensively capture the variability of a multi-faceted concept, such as product design …
comprehensively capture the variability of a multi-faceted concept, such as product design …
A systematic literature review of knowledge graph construction and application in education
In the dynamic landscape of modern education, the search for improved pedagogical
methods, enriched learning experiences, and empowered educators remains a perpetual …
methods, enriched learning experiences, and empowered educators remains a perpetual …
Knowledge graph of mobile payment platforms based on deep learning: Risk analysis and policy implications
H **a, Y Wang, J Gauthier, JZ Zhang - Expert Systems with Applications, 2022 - Elsevier
The Fintech mobile payment platform is expanding rapidly; this expansion, in turn, creates
numerous risks. There is an urgent need to better understand these risks and to spur more …
numerous risks. There is an urgent need to better understand these risks and to spur more …
Toward building a fair peer recommender to support help-seeking in online learning
Help-seeking is a valuable practice in online discussion forums. However, the
asynchronicity and information overload of online discussion forums have made it …
asynchronicity and information overload of online discussion forums have made it …
Emerging Exploration Strategies of Knowledge Graphs
The utilization of semantic web technologies has led to the development of knowledge
graphs represented as triples that allow for the exploration of specific and cross-domains …
graphs represented as triples that allow for the exploration of specific and cross-domains …