{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003007162,0.0006654331,0.001013978,0.0041428,0.0009617222,0.005701978,0.001647625,0.000803884,0.005104586],"category_scores_gemma":[0.01291625,0.0006384134,0.00167868,0.004693075,0.0008040507,0.007088836,0.004285969,0.002011449,0.003896064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009782959,"about_ca_system_score_gemma":0.002055367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002519991,"about_ca_topic_score_gemma":0.002008865,"domain_scores_codex":[0.9931659,0.001499322,0.0007671367,0.001031639,0.003246055,0.0002899809],"domain_scores_gemma":[0.9956889,0.001123848,0.0002716357,0.001561561,0.0012444,0.0001096512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002064102,0.0001519263,0.002110941,0.000917763,0.0002098889,0.001092909,0.001029628,0.007605404,0.01452275,0.3387566,0.02688991,0.6065058],"study_design_scores_gemma":[0.00006822091,0.000104685,0.001688494,0.0006828232,0.0002232893,0.002375348,0.001103071,0.08532152,0.0495972,0.3812652,0.477428,0.0001423048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006028704,0.002539473,0.9652392,0.0009451029,0.0002170086,0.0004086781,0.002075002,0.004140927,0.01840594],"genre_scores_gemma":[0.1420592,0.006945362,0.8283224,0.0008994372,0.0002108667,0.0004433928,0.01065557,0.0009131496,0.00955067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005701978,"threshold_uncertainty_score":0.01707649,"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."}}