{"id":"W2006006946","doi":"10.1109/skg.2012.24","title":"Context Search Based on Inconsistent Ontology Reasoning","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Institute for Cancer Research","keywords":"Ontology; Computer science; Information retrieval; Ontology-based data integration; Ontology alignment; Upper ontology; Context (archaeology); Process ontology; Context model; Matching (statistics); Suggested Upper Merged Ontology; Semantic search; Semantic Web; Artificial intelligence; Mathematics; Object (grammar)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002504188,0.0008467033,0.001538727,0.003358906,0.001682599,0.002135949,0.00194303,0.001409791,0.00141731],"category_scores_gemma":[0.01075622,0.0005731701,0.001678755,0.003546204,0.001104372,0.007139874,0.00230344,0.001165906,0.000328656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801056,"about_ca_system_score_gemma":0.002207409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599667,"about_ca_topic_score_gemma":0.01072319,"domain_scores_codex":[0.9949461,0.001321284,0.0004303997,0.0008090438,0.002183499,0.0003096643],"domain_scores_gemma":[0.9965049,0.001442658,0.0003118944,0.0007822532,0.0008352046,0.000123066],"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":[0.0007681539,0.0005980755,0.01310226,0.0008979606,0.0004968245,0.001513931,0.003332433,0.1592546,0.01944901,0.2464905,0.009257912,0.5448384],"study_design_scores_gemma":[0.00006461926,0.00009327215,0.001271262,0.00004799083,0.0001904967,0.0006654628,0.000336111,0.9106905,0.007846873,0.0703076,0.008413469,0.00007234378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03817384,0.0005685203,0.9559962,0.0003655452,0.00003676074,0.0002023241,0.000151786,0.001153492,0.003351547],"genre_scores_gemma":[0.5664137,0.0004763373,0.4301643,0.0002196563,0.00005248806,0.000200602,0.0004877175,0.00009749654,0.001887702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01599667,"threshold_uncertainty_score":0.03180712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042355528692472,"score_gpt":0.2829542282740584,"score_spread":0.2405986995815864,"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."}}