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QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities - Dataset on SNOMED

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DataCite Commons2020-09-05 更新2024-07-25 收录
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https://figshare.com/articles/dataset/QAW_A_Quality_Assurance_Workflow_for_Ontologies_based_on_Detecting_Semantic_Regularities/701284/3
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This page contains supplementary material for the ISWC 2013 submission. The fileset contains the data for the qualitative and quantititative analysis that were presented in the paper. In the <strong>qualitative analysis</strong>, six lexical patterns (keywords) that were processed. These are: "chronic","acute", "absent", "present", "right", "left". For these ones the reader can browse and download the following data: 1. XML Files with the generic name <strong>_syntactic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the in their label. There should be 6 files in total (for each keyword). 2. XML Files with the generic name <strong>_semantic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the in their label. In the <strong>quantitative analysis</strong>, 308 lexical patterns were processed, and corresponding syntactic and semantic regularities were detected. The dataset that is available for the reader contains the following: 1. .xml, which contains all lexical patterns that could be detected in the SNOMED-CT version January 2013. 2. .xml, which contains all lexical patterns with 0.1%-0.4% lexical pattern threshold. 3. <strong>syntactic_regularities_dataset.zip</strong> which contains 308 xml files with the syntactic regularities that were generated by RIO. 4. <strong>semantic_regularities_dataset.zip</strong> which contains 308 xml files with the semantic regularities that were generated by RIO. 5. quantitative_syntactic_regularity_analysis.csv, which contains the syntactic regularity stat analysis for the 308 processed cases. 6.<strong> quantitative_semantic_regularity_analysis.csv,</strong> which contains the semantic regularity stat analysis for the 308 processed cases.
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figshare
创建时间:
2016-01-11
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