{"id":"W2560100475","doi":"10.1017/s0269888916000217","title":"Storing massive Resource Description Framework (RDF) data: a survey","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"RDF; RDF/XML; Computer science; RDF Schema; Simple Knowledge Organization System; Cwm; SPARQL; Linked data; RDF query language; NoSQL; Database; Semantic Web; Information retrieval; World Wide Web; Scalability; Web search query","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005719949,0.0006171865,0.001070097,0.00957374,0.0007263601,0.003299779,0.003039639,0.001246161,0.002145155],"category_scores_gemma":[0.007523858,0.0006700819,0.0009449507,0.01638546,0.001153916,0.01021286,0.002539918,0.001253657,0.001335193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362354,"about_ca_system_score_gemma":0.002217771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005484822,"about_ca_topic_score_gemma":0.002537434,"domain_scores_codex":[0.996711,0.0005262517,0.0004440874,0.0004537227,0.001691434,0.000173397],"domain_scores_gemma":[0.9935027,0.003425574,0.000436056,0.0009497247,0.001529476,0.0001564641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000706893,0.0000929407,0.003005671,0.004813774,0.0001064787,0.0003255981,0.0004897852,0.005215955,0.002330577,0.07963742,0.0485132,0.8553979],"study_design_scores_gemma":[0.00001072344,0.00003319408,0.001510147,0.003186499,0.00007217513,0.0008603091,0.0009169661,0.01104281,0.004958613,0.03742607,0.9399043,0.00007821084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01954016,0.6573654,0.2567725,0.01169444,0.001139062,0.0003669473,0.005048734,0.003491103,0.04458163],"genre_scores_gemma":[0.07803465,0.7543195,0.1443449,0.002129933,0.0009508743,0.0002450315,0.01405905,0.0007580987,0.005157933],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00957374,"threshold_uncertainty_score":0.03025031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09351567540660552,"score_gpt":0.3017580043145725,"score_spread":0.208242328907967,"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."}}