{"id":"W2086832220","doi":"10.5539/cis.v3n1p185","title":"Ontologies Acquisition from Relational Databases","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Liaocheng University","keywords":"Computer science; Relational database; Ontology; Field (mathematics); Transformation (genetics); Key (lock); Information retrieval; Ontology-based data integration; Relational model; Database; Data science; Semantic Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002014892,0.0000733247,0.00006061797,0.0001530405,0.0003607093,0.0002962915,0.0005146806,0.00002200874,0.00001092539],"category_scores_gemma":[0.00002772879,0.00006565486,0.00001489508,0.0004474574,0.0002194425,0.01206716,0.0003702578,0.0001112654,0.00004077785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001292058,"about_ca_system_score_gemma":0.00007798336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001153405,"about_ca_topic_score_gemma":0.000001177564,"domain_scores_codex":[0.9991851,0.000005843,0.0001960163,0.0001960481,0.0002900614,0.0001269608],"domain_scores_gemma":[0.9992059,0.0001020517,0.00009355215,0.0003103495,0.0002136919,0.00007448312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.573013e-7,0.000006389329,0.0002321274,8.428422e-7,7.51819e-7,1.186423e-7,0.0001537636,0.0001706142,0.0006828563,0.8876298,0.0002474266,0.1108747],"study_design_scores_gemma":[0.0001854205,0.00003000662,0.1347427,0.00000917338,0.000001596139,0.00002797751,0.00001194544,0.7382702,0.003169099,0.05616551,0.06717349,0.0002128865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02104544,0.000006696916,0.9755607,0.000962697,0.0002590296,0.00008909476,0.00001321643,0.0002218605,0.001841275],"genre_scores_gemma":[0.4214879,0.000008072508,0.5774933,0.0009202435,0.00004750304,0.00001034658,0.0000290601,8.161892e-7,0.00000276077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8314643,"threshold_uncertainty_score":0.8748403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344539031374046,"score_gpt":0.2940317331894222,"score_spread":0.2705863428756817,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}