{"id":"W2517368686","doi":"10.1109/compsac.2016.189","title":"Service Extraction from Business Process Model: An Ontology-Based Approach","year":2016,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business Process Model and Notation; Business process modeling; Computer science; Business process; Artifact-centric business process model; Ontology; Process management; Business process management; Service (business); Business rule; Process modeling; Software engineering; Bridge (graph theory); Knowledge management; Business; Work in process","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":[0.002132192,0.001190524,0.001221924,0.006528252,0.00140549,0.003534709,0.001741163,0.001587803,0.001698651],"category_scores_gemma":[0.005390792,0.0009765774,0.003979394,0.006853125,0.0008483193,0.004647423,0.002926964,0.002065474,0.001425922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949512,"about_ca_system_score_gemma":0.005160845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009595285,"about_ca_topic_score_gemma":0.01029736,"domain_scores_codex":[0.9972727,0.0004918405,0.0003383099,0.0003349503,0.001395491,0.0001667028],"domain_scores_gemma":[0.9983554,0.0006151783,0.0001577754,0.0003480484,0.0004686072,0.00005492041],"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":[0.0001936316,0.0007000131,0.004726551,0.002213581,0.0004715815,0.00302966,0.002589798,0.05683321,0.03120618,0.2059651,0.01503621,0.6770344],"study_design_scores_gemma":[0.0001107169,0.00009379713,0.002171266,0.0008846692,0.0005788158,0.001576011,0.001391038,0.6007496,0.03379194,0.1743338,0.1841396,0.00017864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004245618,0.0003159168,0.9898798,0.000285944,0.00004854527,0.0003244075,0.0006818321,0.001292586,0.002925339],"genre_scores_gemma":[0.05284485,0.001311406,0.9381341,0.0001308433,0.00002671805,0.0003998298,0.004877083,0.0003066901,0.001968544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009595285,"threshold_uncertainty_score":0.01907885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196249266497545,"score_gpt":0.2629600395771176,"score_spread":0.2433351129273631,"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."}}