Extracted Schemas from the Life Sciences Linked Open Data Cloud

This dataset is related to the manuscript "An empirical meta-analysis of the life sciences linked open data on the web" published at Nature Scientific Data. If you use the dataset, please cite the manuscript as follows:Kamdar, M.R., Musen, M.A. An empirical meta-analysis of the life sciences linked open data on the web. Sci Data 8, 24 (2021). https://doi.org/10.1038/s41597-021-00797-yWe have extracted schemas from more than 80 publicly available biomedical linked data graphs in the Life Sciences Linked Open Data (LSLOD) cloud into an LSLOD schema graph and conduct an empirical meta-analysis to evaluate the extent of semantic heterogeneity across the LSLOD cloud. The dataset published here contains the following files:- The set of Linked Data Graphs from the LSLOD cloud from which schemas are extracted.- Refined Sets of extracted classes, object properties, data properties, and datatypes, shared across the Linked Data Graphs on LSLOD cloud. Where the schema element is reused from a Linked Open Vocabulary or an ontology, it is explicitly indicated.- The LSLOD Schema Graph, which contains all the above extracted schema elements interlinked with each other based on the underlying content. Sample instances and sample assertions are also provided along with broad level characteristics of the modeled content. The LSLOD Schema Graph is saved as a JSON Pickle File. To read the JSON object in this Pickle file use the Python command as follows:with open('LSLOD-Schema-Graph.json.pickle' , 'rb') as infile: x = pickle.load(infile, encoding='iso-8859-1')Check the Referenced Link for more details on this research, raw data files, and code references.

本数据集关联发表于《自然·科学数据》（Nature Scientific Data）的论文《网络生命科学关联开放数据实证元分析》。若使用本数据集，请按以下格式引用该论文：Kamdar, M.R., Musen, M.A. An empirical meta-analysis of the life sciences linked open data on the web. Sci Data 8, 24 (2021). https://doi.org/10.1038/s41597-021-00797-y

我们从生命科学关联开放数据（Life Sciences Linked Open Data, LSLOD）云内的80余个公开可用的生物医学关联数据图（Linked Data Graph）中提取模式，构建LSLOD模式图，并开展实证元分析以评估LSLOD云内语义异质性的程度。

本次发布的数据集包含以下文件：
- 从LSLOD云中提取模式所用的关联数据图集合；
- 经精炼的提取得到的类、对象属性、数据属性及数据类型集合，这些元素在LSLOD云的关联数据图间共享。若某模式元素复用自关联开放词汇表（Linked Open Vocabulary）或本体（ontology），则会明确标注；
- LSLOD模式图（LSLOD Schema Graph），该图包含上述所有提取得到的模式元素，并基于底层内容相互关联。此外还提供了示例实例与示例断言，以及建模内容的宏观特征。LSLOD模式图以JSON Pickle文件（JSON Pickle File）格式存储。

若要读取该Pickle文件中的JSON对象，请使用如下Python命令：
with open('LSLOD-Schema-Graph.json.pickle' , 'rb') as infile: x = pickle.load(infile, encoding='iso-8859-1')

请查阅参考链接以获取本研究、原始数据文件及代码参考的更多细节。