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