{"id":4933,"date":"2026-10-12T22:26:03","date_gmt":"2026-10-13T01:26:03","guid":{"rendered":"https:\/\/www.inf.ufrgs.br\/ontokg\/?page_id=4933"},"modified":"2026-10-13T21:46:40","modified_gmt":"2026-10-14T00:46:40","slug":"pid_kg_extraction_and_graph_enrichment","status":"publish","type":"page","link":"https:\/\/www.inf.ufrgs.br\/ontokg\/index.php\/pid_kg_extraction_and_graph_enrichment\/","title":{"rendered":"P&#038;ID Knowledge Extraction and Graph Enrichment"},"content":{"rendered":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<p style=\"text-align:justify\">P&amp;ID Knowledge Extraction and Graph Enrichment investigates methods for transforming piping and instrumentation diagrams into structured, semantically meaningful knowledge. This area explores the identification of equipment, instruments, tags, and connections from diagram data and documents, together with their mapping to the project\u2019s domain ontologies. Particular attention is given to preserving flow direction, connecting information across diagrams, resolving ambiguous identifiers, and distinguishing physical connectivity from the functional relationships needed to interpret industrial processes.&nbsp;The work also investigates linking query results to the corresponding elements in diagrams, helping users inspect the evidence behind an answer. Within OntoKG, this area supplies and enriches knowledge graphs with engineering information that complements corporate and operational data, supporting the exploration of equipment dependencies and the investigation of incidents with potential impacts on production.<\/p>\n\n\n<div style=\"height:26px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>Team<\/strong><\/h1>\n\n\n\n<div style=\"height:8px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading underline-red\"><strong>Current team<\/strong><\/h3>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-478b6e6b wp-block-group-is-layout-grid\">\n<div class=\"wp-block-group wp-container-content-69bc4bdf is-vertical is-layout-flex wp-container-core-group-is-layout-fe9cc265 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-full has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"735\" height=\"980\" src=\"https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2026\/08\/Image-1-1.jpg\" alt=\"\" class=\"wp-image-4844\" style=\"border-radius:10px\" srcset=\"https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2026\/08\/Image-1-1.jpg 735w, https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2026\/08\/Image-1-1-225x300.jpg 225w\" sizes=\"auto, (max-width: 735px) 100vw, 735px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Jo\u00e3o Luiz Dihl Comba<\/h4>\n\n\n\n<p>Ph.D.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-group wp-container-content-69bc4bdf is-vertical is-layout-flex wp-container-core-group-is-layout-fe9cc265 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<figure class=\"wp-block-image size-full has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"1800\" height=\"2400\" src=\"https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/11\/abel.png\" alt=\"\" class=\"wp-image-4667\" style=\"border-radius:10px\" srcset=\"https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/11\/abel.png 1800w, https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/11\/abel-225x300.png 225w, https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/11\/abel-768x1024.png 768w, https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/11\/abel-1152x1536.png 1152w, https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/11\/abel-1536x2048.png 1536w\" sizes=\"auto, (max-width: 1800px) 100vw, 1800px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Abel Corr\u00eaa Dias<\/h4>\n\n\n\n<p>Ph.D.<\/p>\n<\/div>\n\n\n\n<p><\/p>\n<\/div>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading underline-red\"><strong>Past contributors<\/strong><\/h3>\n\n\n\n<div class=\"wp-block-group has-background is-layout-grid wp-container-core-group-is-layout-478b6e6b wp-block-group-is-layout-grid\" style=\"border-style:none;border-width:0px;border-radius:11px;background-color:#f3f3f3\">\n<div class=\"wp-block-group wp-container-content-69bc4bdf is-vertical is-layout-flex wp-container-core-group-is-layout-fe9cc265 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-full has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"684\" height=\"913\" src=\"https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/10\/Foto-Henrique.png\" alt=\"\" class=\"wp-image-4591\" style=\"border-radius:10px\" srcset=\"https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/10\/Foto-Henrique.png 684w, https:\/\/www.inf.ufrgs.br\/ontokg\/wp-content\/uploads\/2025\/10\/Foto-Henrique-225x300.png 225w\" sizes=\"auto, (max-width: 684px) 100vw, 684px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Henrique Lindemann<\/h4>\n\n\n\n<p>B.Sc. Student<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>P&amp;ID Knowledge Extraction and Graph Enrichment investigates methods for transforming piping and instrumentation diagrams into structured, semantically meaningful knowledge. This area explores the identification of equipment, instruments, tags, and connections from diagram data and documents, together with their mapping to the project\u2019s domain ontologies. Particular attention is given to preserving flow direction, connecting information across [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4933","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>P&amp;ID Knowledge Extraction and Graph Enrichment - ontokg<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.inf.ufrgs.br\/ontokg\/index.php\/pid_kg_extraction_and_graph_enrichment\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"P&amp;ID Knowledge Extraction and Graph Enrichment - ontokg\" \/>\n<meta property=\"og:description\" content=\"P&amp;ID Knowledge Extraction and Graph Enrichment investigates methods for transforming piping and instrumentation diagrams into structured, semantically meaningful knowledge. 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