{"id":34,"date":"2014-11-23T15:35:46","date_gmt":"2014-11-23T22:35:46","guid":{"rendered":"http:\/\/infoneer.wp.txstate.edu\/?page_id=34"},"modified":"2024-10-19T11:05:29","modified_gmt":"2024-10-19T18:05:29","slug":"home","status":"publish","type":"page","link":"https:\/\/labs.engineering.asu.edu\/semantics\/","title":{"rendered":"Semantic Computing Lab"},"content":{"rendered":"<div class=\"uds-hero-md alignfull has-btn-row \" style=\"margin-bottom:var(--wp--preset--spacing--uds-size-8);\"><div class=\"hero-overlay\"><\/div><img loading=\"lazy\" decoding=\"async\" width=\"4345\" height=\"2378\" src=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn.png\" class=\"hero\" alt=\"\" srcset=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn.png 4345w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn-500x274.png 500w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn-1500x821.png 1500w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn-1000x547.png 1000w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn-1536x841.png 1536w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/sudokn-2048x1121.png 2048w\" sizes=\"auto, (max-width: 4345px) 100vw, 4345px\" \/><div class=\"acf-innerblocks-container\">\n\n\n\n<h1 class=\"wp-block-heading has-white-color has-text-color has-link-color wp-elements-ed72956a8edbd971a5565ccaf528318f\"><span class=\"highlight-gold\">Semantic Computing Lab<\/span><\/h1>\n\n\n\n<div class=\"wp-block-group content is-layout-flow wp-block-group-is-layout-flow\">\n<p class=\"has-white-color has-text-color has-link-color wp-elements-c2dcdd54673750eb5f31b5015ed2ad06\"><span class=\"highlight-black\">Enabling Semantic AI, Interoperability, and Cognition in Digital Manufacturing Systems and Supply Chains<\/span><\/p>\n<\/div>\n\n<\/div><\/div>\n\n\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\">\n<p>The Semantic Computing Lab at Arizona State University focuses on conducting research in explicit knowledge representation and reasoning (KRR) and ontology engineering in support of knowledge-intensive and cyber-enabled design and manufacturing and digital supply chains. KRR is the brain behind automated intelligent decision-making. It&#8217;s the secret that allows machines to understand, interpret, and apply knowledge\u2014just like we humans do!<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-site-logo\"><a href=\"https:\/\/labs.engineering.asu.edu\/semantics\/\" class=\"custom-logo-link\" rel=\"home\"><img loading=\"lazy\" decoding=\"async\" width=\"325\" height=\"150\" src=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2024\/10\/SCL-Logo.png\" class=\"custom-logo\" alt=\"Semantic Computing Lab\" srcset=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2024\/10\/SCL-Logo.png 791w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2024\/10\/SCL-Logo-500x231.png 500w\" sizes=\"auto, (max-width: 325px) 100vw, 325px\" \/><\/a><\/div><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>We develop formal ontologies and semantic knowledge graphs (KG) together with tools and methods for formal knowledge acquisition, representations, and synthesis with the objective of improving the intelligence and interoperability in design and manufacturing systems and digital supply networks. <\/p>\n\n\n\n<p>We call ourselves Knowledge Engineers. Knowledge engineering is a&nbsp;branch of artificial intelligence (AI) that is concerned with building knowledge-based systems (KBS). One of the core focuses of researchers at Semantic Computing Lab is Neurosymbolic AI with applications in manufacturing systems and networks. Neurosymbolic AI is a field of artificial intelligence that combines elements of both symbolic AI and deep learning approaches. It aims to integrate the strengths of semantic reasoning and and machine learning- the two main strands of AI- to create more powerful and comprehensive AI systems.<\/p>\n\n\n\n<p>From a <strong>methodological<\/strong> standpoint, we work in the following areas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ontology Engineering<\/li>\n\n\n\n<li>Knowledge Representation and Reasoning (KRR)<\/li>\n\n\n\n<li>Semantic Knowledge Graphs (SKG) and Graph-native Machine Learning (GN-ML)<\/li>\n\n\n\n<li>Neurosymbolic AI<\/li>\n\n\n\n<li>Graph Neural Network (GNN)<\/li>\n\n\n\n<li>Machine Learning (ML) and Artificial Intelligence (AI)<\/li>\n\n\n\n<li>Natural Language Processing (NLP)<\/li>\n\n\n\n<li>Robust Optimization<\/li>\n\n\n\n<li>Systems Engineering<\/li>\n\n\n\n<li>Decision Theory<\/li>\n\n\n\n<li>Design Theory and Methodology<\/li>\n\n\n\n<li>Information Theory<\/li>\n<\/ul>\n\n\n\n<p>From an <strong>applicability<\/strong> standpoint, we work in the following areas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Digital Supply Networks<\/li>\n\n\n\n<li>Smart Manufacturing\/Industry 4.0<\/li>\n\n\n\n<li>Manufacturing Diagnostics &amp; Prognostics<\/li>\n\n\n\n<li>Industrial Maintenance<\/li>\n\n\n\n<li>Manufacturing Sustainability and Circular Economy (CE)<\/li>\n\n\n\n<li>Design and Manufacturing Automation<\/li>\n\n\n\n<li>Cyberphysical Manufacturing Systems<\/li>\n\n\n\n<li>Product Design and Development<\/li>\n\n\n\n<li>Design for Manufacturing (DFM)<\/li>\n\n\n\n<li>Traceability in Agri-food Supply Chains<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Research Objectives:<\/h3>\n\n\n\n<p>The major objectives of the Semantic Computing Lab are:<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-default\">\n<li>Enabling automated intelligent decision-making in distributed design, manufacturing, and logistics through developing decision support tools and semantic information models.<\/li>\n\n\n\n<li>Enabling distributed and cyber-enabled design and manufacturing through developing tools, methods, and systems for horizontal collaboration.<\/li>\n\n\n\n<li>Enabling autonomous design-to-fabrication in automated manufacturing systems through providing manufacturing systems and assets with cognitive capabilities <\/li>\n\n\n\n<li>Improving the performance of machine learning techniques through semantic enrichment, integration, and harmonization of data.<\/li>\n<\/ul>\n\n\n<div class=\"entry-content\">\n<h2 style=\"text-align: justify;\">\u00a0<\/h2>\n<\/div>\n\n\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\">\n<div class=\"wp-block-cover is-light\" style=\"min-height:213px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"961\" height=\"541\" class=\"wp-block-cover__image-background wp-image-604\" alt=\"\" src=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/MSN.jpg\" data-object-fit=\"cover\" srcset=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/MSN.jpg 961w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/MSN-500x281.jpg 500w\" sizes=\"auto, (max-width: 961px) 100vw, 961px\" \/><div class=\"wp-block-cover__inner-container is-layout-constrained wp-block-cover-is-layout-constrained\">\n<h4 class=\"wp-block-heading alignfull has-text-align-left\"><span class=\"highlight-gold\">MSN<\/span><\/h4>\n\n\n\n<h4 class=\"wp-block-heading alignfull has-text-align-left\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">The School of Manufacturing Systems and Networks is a new school for a new time. The transdisciplinary nature of the school&#8217;s curriculum, research portfolio, and industry engagements is preparing students to be leaders of the processes and systems that will drive the future of manufacturing.<\/mark><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-gold-color\">  <\/mark><\/h4>\n<\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-media-text alignfull is-stacked-on-mobile\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"1280\" src=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/IMG_3121.jpg\" alt=\"\" class=\"wp-image-606 size-full\" srcset=\"https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/IMG_3121.jpg 750w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/IMG_3121-293x500.jpg 293w, https:\/\/labs.engineering.asu.edu\/semantics\/wp-content\/uploads\/sites\/162\/2023\/10\/IMG_3121-586x1000.jpg 586w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h5 class=\"wp-block-heading\"><span class=\"highlight-gold\">Contact:<\/span><\/h5>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-fe9cc265 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<p><a href=\"https:\/\/search.asu.edu\/profile\/4860219\">Dr. Farhad Ameri <\/a><\/p>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<p>Technology Center Suite 100<\/p>\n\n\n\n<p>6075 S. Innovation Way West<\/p>\n\n\n\n<p>Mesa, AZ 85212<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"mb-2\">The Semantic Computing Lab at Arizona State University focuses on conducting research in explicit knowledge representation and reasoning (KRR) and ontology engineering in support of knowledge-intensive and cyber-enabled design and manufacturing and digital supply chains. KRR is the brain behind automated intelligent decision-making. It&#8217;s the secret that allows machines to understand, interpret, and apply knowledge\u2014just&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-34","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Semantic Computing Lab -<\/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:\/\/labs.engineering.asu.edu\/semantics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Semantic Computing Lab -\" \/>\n<meta property=\"og:description\" content=\"The Semantic Computing Lab at Arizona State University focuses on conducting research in explicit knowledge representation and reasoning (KRR) and ontology engineering in support of knowledge-intensive and cyber-enabled design and manufacturing and digital supply chains. 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