{"id":18240,"date":"2026-07-27T20:23:50","date_gmt":"2026-07-27T20:23:50","guid":{"rendered":"https:\/\/megagon.ai\/faq\/information-extraction-domain-terminology-drift-enterprise-ai\/"},"modified":"2026-07-27T20:26:36","modified_gmt":"2026-07-27T20:26:36","slug":"information-extraction-domain-terminology-drift-enterprise-ai","status":"publish","type":"faq","link":"https:\/\/megagon.ai\/jp\/faq\/information-extraction-domain-terminology-drift-enterprise-ai\/","title":{"rendered":"Why does information extraction break when domain terminology changes?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Static extractors work from a fixed view of a domain, so they miss language that appears after that snapshot. In medical, legal, HR, and enterprise settings, taxonomies drift and new entities and relations show up before teams can build clean training data. Systems that accumulate and reuse domain knowledge during operation can adapt without an expensive retraining cycle.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Static extractors work from a fixed view of a domain, so they miss language that appears after that snapshot. In medical, legal, HR, and enterprise settings, taxonomies drift and new entities and relations show up before teams can build clean training data. Systems that accumulate and reuse domain knowledge during operation can adapt without an [&hellip;]<\/p>\n","protected":false},"author":1,"template":"","meta":{"footnotes":""},"question-topic":[],"class_list":["post-18240","faq","type-faq","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Why does information extraction break when domain terminology changes? - Megagon<\/title>\n<meta name=\"description\" content=\"Why static information extraction fails as domain terminology drifts, and how enterprise AI systems adapt to new entities and taxonomies without retraining.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/megagon.ai\/jp\/faq\/information-extraction-domain-terminology-drift-enterprise-ai\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why does information extraction break when domain terminology changes? - Megagon\" \/>\n<meta property=\"og:description\" content=\"Why static information extraction fails as domain terminology drifts, and how enterprise AI systems adapt to new entities and taxonomies without retraining.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/megagon.ai\/jp\/faq\/information-extraction-domain-terminology-drift-enterprise-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Megagon\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/megagonlabs\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-27T20:26:36+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/faq\\\/information-extraction-domain-terminology-drift-enterprise-ai\\\/\",\"url\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/faq\\\/information-extraction-domain-terminology-drift-enterprise-ai\\\/\",\"name\":\"Why does information extraction break when domain terminology changes? - Megagon\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/#website\"},\"datePublished\":\"2026-07-27T20:23:50+00:00\",\"dateModified\":\"2026-07-27T20:26:36+00:00\",\"description\":\"Why static information extraction fails as domain terminology drifts, and how enterprise AI systems adapt to new entities and taxonomies without retraining.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/faq\\\/information-extraction-domain-terminology-drift-enterprise-ai\\\/#breadcrumb\"},\"inLanguage\":\"ja-JP\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/megagon.ai\\\/jp\\\/faq\\\/information-extraction-domain-terminology-drift-enterprise-ai\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/faq\\\/information-extraction-domain-terminology-drift-enterprise-ai\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Why does information extraction break when domain terminology changes?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/#website\",\"url\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/\",\"name\":\"Megagon Labs\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja-JP\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/megagon.ai\\\/jp\\\/#organization\",\"name\":\"Megagon Labs\",\"url\":\"https:\\\/\\\/megagon.ai\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https:\\\/\\\/megagon.ai\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/Logo-Megagon-Labs.webp\",\"caption\":\"Megagon Labs\"},\"image\":{\"url\":\"https:\\\/\\\/megagon.ai\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/Logo-Megagon-Labs.webp\"},\"description\":\"Megagon Labs is an AI research organization conducting research in compound AI systems, large language models, data-AI symbiosis, and human-centered AI. 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