Perceiving the Usefulness of the National Cancer Institute Metathesaurus for Enriching NCIt with Topological Patterns
The National Cancer Institute Thesaurus(NCIt),developed and maintained by the National Cancer Institute,is an important reference terminology in the cancer domain.As a controlled terminology needs to continuously incorporate new concepts to enrich its conceptual content,automated and semi-automated methods for identifying potential new concepts are in high demand.We have previously developed a topological-pattern-based method for identifying new concepts in a controlled terminology to enrich another terminology,using the UMLS Metathesaurus.In this work,we utilize this method with the National Cancer Institute Metathesaurus to identify new concepts for NCIt.While previous work was only oriented towards identifying candidate import concepts for human review,we are now also adding an algorithmic method to evaluate candidate concepts and reject a well defined group of them.
Biomedical Ontologies Vocabulary Quality Assurance
Zhe He Yan Chen James Geller
School of Information,Florida State University,Tallahassee,FL,USA Department of Computer Information Systems,BMCC,City University of New York,New York,USA Department of Computer Science,New Jersey Institute of Technology,Newark,NJ,USA
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
863-867
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）