Scholarly knowledge graphs through structuring scholarly communication: a review
The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …
academic literature and its linkages to authors produce enormously. Information extraction …
Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive …
Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …
enhance their experience and interest in innumerable online applications by streamlining …
Medical knowledge graph: Data sources, construction, reasoning, and applications
Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …
been in use in a variety of intelligent medical applications. Thus, understanding the research …
The RML ontology: A community-driven modular redesign after a decade of experience in mapping heterogeneous data to RDF
A Iglesias-Molina, D Van Assche… - International Semantic …, 2023 - Springer
Abstract The Relational to RDF Mapping Language (R2RML) became a W3C
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …
A survey of deep learning and foundation models for time series forecasting
Deep Learning has been successfully applied to many application domains, yet its
advantages have been slow to emerge for time series forecasting. For example, in the well …
advantages have been slow to emerge for time series forecasting. For example, in the well …
Classifying the mexican epidemiological semaphore colour from the covid-19 text spanish news
MA Álvarez-Carmona, R Aranda… - Journal of …, 2024 - journals.sagepub.com
This work aims to generate classification models that help determine the colour of an
epidemiological semaphore (ES) by analysing online news and being better prepared for …
epidemiological semaphore (ES) by analysing online news and being better prepared for …
Named entity disambiguation in short texts over knowledge graphs
The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation
(NED) at the heart of designing accurate KG-driven systems such as query answering …
(NED) at the heart of designing accurate KG-driven systems such as query answering …
Knowledge graphs for COVID-19: an exploratory review of the current landscape
Background: Searching through the COVID-19 research literature to gain actionable clinical
insight is a formidable task, even for experts. The usefulness of this corpus in terms of …
insight is a formidable task, even for experts. The usefulness of this corpus in terms of …
A survey on graph embedding techniques for biomedical data: Methods and applications
As a result of the expeditious advancement of biomedical technologies, a plethora of
relational data linking biomedical entities such as genes, proteins, and drugs have been …
relational data linking biomedical entities such as genes, proteins, and drugs have been …
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 …