Results 1 to 10 of about 6,926,188 (256)

Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction. [PDF]

open access: yesQuant Imaging Med Surg, 2023
Background Knowledge graphs are a powerful tool for organizing knowledge, processing information and integrating scattered information, effectively visualizing the relationships among entities and supporting further intelligent applications.
Liu F   +6 more
europepmc   +2 more sources

The Construction of Knowledge Graphs in the Aviation Assembly Domain Based on a Joint Knowledge Extraction Model

open access: yesIEEE Access, 2023
The aviation assembly domain, which is a complex system, involves the multi-dimensional information of parts, processes, tools, plants and operation projects.
Peifeng Liu   +3 more
doaj   +2 more sources

Knowledge extraction and transfer in data-driven fracture mechanics. [PDF]

open access: yesProc Natl Acad Sci U S A, 2021
Significance Data-driven approaches have launched a new paradigm in scientific research that is bound to have an impact on all disciplines of science and engineering. However, at this juncture, the exploration of data-driven techniques in the century-old
Liu X   +4 more
europepmc   +2 more sources

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. [PDF]

open access: yesNPJ Digit Med, 2021
The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. However, it is difficult to know all the relevant codes related to a phenotype due to the large number of codes available ...
Hong C   +23 more
europepmc   +2 more sources

Advanced Semantics for Commonsense Knowledge Extraction [PDF]

open access: yesProceedings of the Web Conference 2021, 2021
Commonsense knowledge (CSK) about concepts and their properties is useful for AI applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others compiled large CSK collections, but are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and monolithic strings for P and O.
Nguyen, T., Razniewski, S., Weikum, G.
openaire   +7 more sources

Cybersecurity Knowledge Extraction Using XAI

open access: yesApplied 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
doaj   +2 more sources

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. [PDF]

open access: yesAdv Neural Inf Process Syst, 2023
Images contain rich relational knowledge that can help machines understand the world. Existing methods on visual knowledge extraction often rely on the pre-defined format (e.g., sub-verb-obj tuples) or vocabulary (e.g., relation types), restricting the expressiveness of the extracted knowledge.
Cui H   +9 more
europepmc   +1 more source

Information extraction pipelines for knowledge graphs

open access: yesKnowledge and Information Systems, 2023
AbstractIn the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and weaknesses in effective KG completion have not been studied in the literature.
Mohamad Yaser Jaradeh   +4 more
openaire   +3 more sources

Automatic Knowledge Extraction to build Semantic Web of Things Applications. [PDF]

open access: yesIEEE Internet Things J, 2019
The Internet of Things (IoT) primary objective is to make a hyper-connected world for various application domains. However, IoT suffers from a lack of interoperability leading to a substantial threat to the predicted economic value.
Noura M, Gyrard A, Heil S, Gaedke M.
europepmc   +2 more sources

Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction. [PDF]

open access: yesBioData Min, 2018
In the Next Generation Sequencing (NGS) era a large amount of biological data is being sequenced, analyzed, and stored in many public databases, whose interoperability is often required to allow an enhanced accessibility. The combination of heterogeneous
Cappelli E, Felici G, Weitschek E.
europepmc   +2 more sources

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