2026-10-14T10:45:33Z https://www.scidb.cn/oai

10.11922/sciencedb.01660 2022-04-14T11:21:57Z

2022-04-14 259067 Subject-Predicate-Object triples extracted from scientific documents regarding cardiovascular research in China during 2000-2020 doi:10.11922/sciencedb.01660 en The construction of the dataset is to organize and store structured semantic predications (Subject-Predicate-Object triples, SPO triples) extracted from scientific documents regarding cardiovascular research in China during 2001-2020. This process consists of collecting related publications, extracting SPO triples from those publications, and classifying semantic types and relations for the extracted SPO triples.259,067 Subject-Predicate-Object triples are stored in file: 259,067 SPO tiples.csv. This dataset contains the main data as follow:PREDICATION_ID: Auto-generated primary key for each unique predicationSUBJECT_NAME: The preferred name of the subject of the predicationSUBJECT_SEMTYPE: The semantic type of the subject of the predicationSUBJECT_SEMGROUP: The semantic group of the subject of the predicationPREDICATE: The string representation of the predicate (semantic relationship) of the predicationPREDICATE_SEMTYPE: The category of predicate (semantic relationship)OBJECT_NAME: The preferred name of the object of the predicationOBJECT_SEMTYPE: The semantic type of the object of the predicationOBJECT_SEMGROUP: The semantic group of the object of the predicationSENTENCE_ID: Foreign key to the SENTENCE tableSENTENCE: The actual string or text of the sentenceTYPE: 'ti' for the title of the publication, 'ab' for the abstractPMID: The PubMed identifier of the citation to which the predication belongsYEAR: Publication year Subject-Predicate-Object triple; semantic network; scientific document; cardiovascular disease; China Xin Guo Yuming Chen Jian Du Erdan Dong PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.2478/jdis-2022-0008 Science Data Bank