AIMC Topic: Knowledge Bases

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Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base.

Computational intelligence and neuroscience
Multi-hop path reasoning over knowledge base aims at finding answer entities for an input question by walking along a path of triples from graph structure data, which is a crucial branch in the knowledge base question answering (KBQA) research field....

[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Lakartidningen
Skewed information about medicines in social media influence the healthcare-patient contact. Healthcare staff need situation adapted evidence that can be linked to patient data. For 20 years Sweden has provided praised Pharmacological Knowledge Bases...

A Comprehensive Quantitative and Biological Neural Network Optimization Model of Sports Industry Structure Based on Knowledge Mapping.

Computational intelligence and neuroscience
In this paper, a comprehensive quantitative and biological neural network optimization model of sports industry structure is thoroughly studied and analyzed using knowledge graphs. To address the problems of poor performance interpretability deficien...

MMKP: A mind mapping knowledgebase prototyping tool for precision medicine.

Frontiers in immunology
BACKGROUND: With significant advancements in the area of precision medicine, the breadth and complexity of the relevant knowledge in the field has increased significantly. However, the difficulty associated with dynamic modelling and the disorganizat...

Biomedical Relation Extraction With Knowledge Graph-Based Recommendations.

IEEE journal of biomedical and health informatics
Biomedical Relation Extraction (RE) systems identify and classify relations between biomedical entities to enhance our knowledge of biological and medical processes. Most state-of-the-art systems use deep learning approaches, mainly to target relatio...

NILINKER: Attention-based approach to NIL Entity Linking.

Journal of biomedical informatics
The existence of unlinkable (NIL) entities is a major hurdle affecting the performance of Named Entity Linking approaches, and, consequently, the performance of downstream models that depend on them. Existing approaches to deal with NIL entities focu...

A Scalable Embedding Based Neural Network Method for Discovering Knowledge From Biomedical Literature.

IEEE/ACM transactions on computational biology and bioinformatics
Nowadays, the amount of biomedical literatures is growing at an explosive speed, and much useful knowledge is yet undiscovered in the literature. Classical information retrieval techniques allow to access explicit information from a given collection ...

An annotated corpus of clinical trial publications supporting schema-based relational information extraction.

Journal of biomedical semantics
BACKGROUND: The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across different trials. This can be facilitated and partially automatized by information extraction systems. In order to support...

Overview of ICD-11 architecture and structure.

BMC medical informatics and decision making
BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization h...

Kinases on Double Duty: A Review of UniProtKB Annotated Bifunctionality within the Kinome.

Biomolecules
Phosphorylation facilitates the regulation of all fundamental biological processes, which has triggered extensive research of protein kinases and their roles in human health and disease. In addition to their phosphotransferase activity, certain kinas...