{"id":"W2098960900","doi":"10.1109/cisis.2009.40","title":"Creating Visualizations through Ontology Mapping","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Ontology; Ontology-based data integration; Visualization; Process ontology; Domain (mathematical analysis); Upper ontology; Suggested Upper Merged Ontology; Ontology engineering; Model transformation; Software engineering; Data transformation; Information retrieval; Data mining; Domain knowledge; Data warehouse; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007132987,0.00006464883,0.0001004786,0.00003803337,0.000133885,0.00007865972,0.0003799097,0.00003828729,0.00003016365],"category_scores_gemma":[0.0000777512,0.00005301926,0.00002845828,0.0002341956,0.00001814963,0.0003581343,0.00005545183,0.00003865689,0.00004387551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001102412,"about_ca_system_score_gemma":0.00002218606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006145859,"about_ca_topic_score_gemma":0.00002412605,"domain_scores_codex":[0.9993802,0.00002565853,0.0001357709,0.0001899818,0.00008086267,0.0001874916],"domain_scores_gemma":[0.9995754,0.00007681299,0.00003458356,0.0002577518,0.00003419881,0.00002122789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[2.383579e-7,0.00002125585,0.0009317294,0.000001205653,0.00000316654,0.000006243533,0.001326954,0.00001862632,0.0002973727,0.9829804,0.0009792559,0.01343357],"study_design_scores_gemma":[0.0009289437,0.0004110467,0.1888972,0.000068459,0.00001368789,0.0002155439,0.002254059,0.1761893,0.008304287,0.5773067,0.04453098,0.0008798031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004245533,0.00008383063,0.8181374,0.003145468,0.0001131015,0.00003916011,4.848613e-8,0.0003467536,0.1738887],"genre_scores_gemma":[0.7062998,0.00001020715,0.2898322,0.003066785,0.00003564175,0.00000173776,6.141561e-7,0.000001485704,0.0007515264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7020543,"threshold_uncertainty_score":0.2162063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216284259050625,"score_gpt":0.3123481160945338,"score_spread":0.2701852735040275,"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."}}