SemMedDB: a PubMed-scale repository of biomedical semantic predications
نویسندگان
چکیده
منابع مشابه
SemMedDB: a PubMed-scale repository of biomedical semantic predications
SUMMARY Effective access to the vast biomedical knowledge present in the scientific literature is challenging. Semantic relations are increasingly used in knowledge management applications supporting biomedical research to help address this challenge. We describe SemMedDB, a repository of semantic predications (subject-predicate-object triples) extracted from the entire set of PubMed citations....
متن کاملAssigning factuality values to semantic relations extracted from biomedical research literature
Biomedical knowledge claims are often expressed as hypotheses, speculations, or opinions, rather than explicit facts (propositions). Much biomedical text mining has focused on extracting propositions from biomedical literature. One such system is SemRep, which extracts propositional content in the form of subject-predicate-object triples called predications. In this study, we investigated the f...
متن کاملExploiting Semantic Predications in a Graph Database
Knowledge extraction using semantic relations is crucial for accurate and valid knowledge management in biomedicine. The Semantic MEDLINE Database (SemMedDB) contains semantic predications extracted with the SemRep semantic interpreter. Predications are structured as subject-predicate-object triples and can be represented as a directed network. Arguments correspond to UMLS Metathesaurus concept...
متن کاملIdentifying Psychiatric Comorbidities for Obstructive Sleep Apnea in the Biomedical Literature and Electronic Health Record
Obstructive sleep apnea (OSA) is one of the most common diseases among Americans, affecting between 5 and 20% of the population. While there is existing evidence of numerous comorbid conditions, such as obesity, diabetes, and high blood pressure, the vast majority of this evidence has focused explicitly on cardiovascular morbidities and excluded any mental or behavioral disorders. The goal of t...
متن کاملLarge-Scale Semantic Indexing of Biomedical Publications
Automated annotation of scientific publications in real-world digital libraries requires dealing with challenges such as large number of concepts and training examples, multi-label training examples and hierarchical structure of concepts. BioASQ is a European project that contributes a large-scale biomedical publications corpus for working on these challenges. This paper documents the participa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2012
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bts591