典型文献
A Cross-Domain Ontology Semantic Representa-tion Based on NCBI-BlueBERT Embedding
文献摘要：
A common but critical task in biological ontologies data analysis is to compare the difference between ontologies.There have been numerous ontology-based semantic-similarity measures proposed in specific ontology domain,but it still remains a challenge for cross-domain ontologies comparison.An ontology contains the scientific natural language description for the correspond-ing biological aspect.Therefore,we develop a new meth-od based on natural language processing(NLP)represent-ation model bidirectional encoder representations from transformers(BERT)for cross-domain semantic repres-entation of biological ontologies.This article uses the BERT model to represent the word-level of the ontolo-gies as a set of vectors,facilitating the semantic analysis or comparing the biomedical entities named in an onto-logy or associated with ontology terms.We evaluated the ability of our method in two experiments:calculating sim-ilarities of pair-wise disease ontology and human pheno-type ontology terms and predicting the pair-wise of pro-teins interaction.The experimental results demonstrated the comparative performance.This gives promise to the development of NLP methods in biological data analysis.
文献关键词：
中图分类号：
作者姓名：
ZHAO Lingling;WANG Junjie;WANG Chunyu;GUO Maozu
作者机构：
Faculty of Computing,Harbin Institute of Technology,Harbin 150001,China;Department of Medical Informatics,School of Biomedical Engineering and Informatics,Nanjing Medical University,Nanjing 211166,China;Beijing Key Laboratory of Intelligent Processing for Building Big Data,Beijing 100044,China;School of Electrical and Information Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China
文献出处：
引用格式：
[1]ZHAO Lingling;WANG Junjie;WANG Chunyu;GUO Maozu-.A Cross-Domain Ontology Semantic Representa-tion Based on NCBI-BlueBERT Embedding)[J].电子学报（英文）,2022(05):860-869
A类：
Representa,BlueBERT,ontologies,repres,ontolo,ilarities
B类：
Cross,Domain,Ontology,Semantic,Based,NCBI,Embedding,common,but,critical,task,biological,data,analysis,compare,difference,between,have,been,numerous,ontology,semantic,similarity,measures,proposed,specific,domain,still,remains,challenge,cross,comparison,An,contains,scientific,natural,language,description,correspond,aspect,Therefore,new,processing,NLP,model,bidirectional,encoder,representations,from,transformers,This,article,uses,word,level,set,vectors,facilitating,comparing,biomedical,entities,named,associated,terms,We,evaluated,ability,our,two,experiments,calculating,pair,wise,disease,human,pheno,type,predicting,teins,interaction,experimental,results,demonstrated,comparative,performance,gives,promise,development,methods
AB值：
0.502557
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