AIMC Topic: Knowledge Bases

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Quantitative identification of technological paradigm changes using knowledge persistence.

PloS one
This paper proposes a method to quantitatively identify the changes of technological paradigm over time. Specifically, the method identifies previous paradigms and predicts future paradigms by analyzing a patent citation-based knowledge network. The ...

Advances in gene ontology utilization improve statistical power of annotation enrichment.

PloS one
Gene-annotation enrichment is a common method for utilizing ontology-based annotations in gene and gene-product centric knowledgebases. Effective utilization of these annotations requires inferring semantic linkages by tracing paths through edges in ...

SinoPedia-A Linked Data Services platform for decentralized knowledge base.

PloS one
Knowledge bases are largely developed and utilized in academic and industrial fields, such as DBPedia, VIAF, LoC, Getty, and which are published in the Linked Data format. However, if you want to view different resources on these knowledge bases, you...

A subgraph-representation-based method for answering complex questions over knowledge bases.

Neural networks : the official journal of the International Neural Network Society
Knowledge-based question answering has attracted a lot of attention in the research communities of natural language processing and information retrieval. However, existing studies do not adequately address the problem of answering complex questions w...

Automated 4π radiotherapy treatment planning with evolving knowledge-base.

Medical physics
PURPOSE: Non-coplanar 4π radiotherapy generalizes intensity modulated radiation therapy (IMRT) to automate beam geometry selection but requires complicated hyperparameter tuning to attain superior plan quality, which can be tedious and inconsistent. ...

A curated knowledgebase on endocrine disrupting chemicals and their biological systems-level perturbations.

The Science of the total environment
Human well-being can be affected by exposure to several chemicals in the environment. One such group is endocrine disrupting chemicals (EDCs) that can perturb the hormonal homeostasis leading to adverse health effects. In this work, we have developed...

Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings.

Computational intelligence and neuroscience
Relation extraction is the underlying critical task of textual understanding. However, the existing methods currently have defects in instance selection and lack background knowledge for entity recognition. In this paper, we propose a knowledge-based...

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...

SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse.

Neuron
Synapses are fundamental information-processing units of the brain, and synaptic dysregulation is central to many brain disorders ("synaptopathies"). However, systematic annotation of synaptic genes and ontology of synaptic processes are currently la...