Semantic Web resources and Machine Learning systems - Knowledge Graph (SWeMLS-KG)

This resource is part of our submission to ESWC 2023 resource track, which includes: Datasets:<br> - Folder "pattern" - a set of SWeMLS patterns represented based on OPMW and P-Plan ontology,<br> - Folder "shapes" - a set of SHACL constraints to check the conformance of SWeML Systems against SWeMLS patterns as well as a set of SHACL-AF rules to generate links between system components,<br> - File "swemls-ontology.ttl" - an ontology to represent Semantic Web resources and Machine Learning systems (SWeMLS),<br> - File "swemls-instances.ttl" - a set of triples representing the extracted metadata from 476 SWeML systems and papers,<br> - File "swemls-kg.ttl" - an integrated and validated KG containing all above files, including enrichment from SHACL-AF rules using "swemls-toolkit" [2]. These resources are produced based on the result of the Systematic Mapping Study (SMS) reported in [1]. The latest SNAPSHOT-version of the resource can be accessed through our resource landing page: https://w3id.org/semsys/sites/swemls-kg/ [1] Breit, A., Waltersdorfer, L., Ekaputra, J.F., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Ten Teije, A., van Harmelen, F.: Combining Machine Learning and Semantic Web -A Systematic Mapping Study (under review). ACM CSUR (2022)<br> [2] Source code of swemls-toolkit is available at: https://github.com/semanticsystems/swemls-toolkit本资源为我们提交至ESWC 2023资源赛道的参赛材料之一，包含如下数据集： - 文件夹"pattern"：基于OPMW与P-Plan本体构建的SWeMLS（Semantic Web Machine Learning Systems, SWeMLS）模式集 - 文件夹"shapes"：用于校验SWeML系统是否符合SWeMLS模式的SHACL（Shapes Constraint Language, SHACL）约束集，以及用于生成系统组件间关联的SHACL-AF（SHACL Advanced Features, SHACL-AF）规则集 - 文件"swemls-ontology.ttl"：用于表征语义网资源与机器学习系统的本体 - 文件"swemls-instances.ttl"：包含从476个SWeML系统及相关学术论文中提取的元数据的三元组集合 - 文件"swemls-kg.ttl"：整合并经过验证的知识图谱（Knowledge Graph, KG），涵盖上述全部文件内容，并通过"swemls-toolkit"[2]基于SHACL-AF规则完成了知识增强。 本系列资源基于文献[1]中报道的系统映射研究（Systematic Mapping Study, SMS）成果构建。该资源的最新快照版本可通过其资源落地页面访问：https://w3id.org/semsys/sites/swemls-kg/ [1] Breit, A., Waltersdorfer, L., Ekaputra, J.F., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Ten Teije, A., van Harmelen, F.: Combining Machine Learning and Semantic Web -A Systematic Mapping Study (under review). ACM CSUR (2022) [2] "swemls-toolkit"的源代码可于以下地址获取：https://github.com/semanticsystems/swemls-toolkit