{"id":89704,"date":"2023-08-31T15:53:12","date_gmt":"2023-08-31T12:53:12","guid":{"rendered":"https:\/\/azbuki.bg\/?p=89704"},"modified":"2023-08-31T15:53:12","modified_gmt":"2023-08-31T12:53:12","slug":"enriching-large-document-stores-with-intelligent-metadata-a-framework-for-effective-knowledge-management-and-applied-analytics","status":"publish","type":"post","link":"https:\/\/newspaper.azbuki.bg\/en\/uncategorized\/enriching-large-document-stores-with-intelligent-metadata-a-framework-for-effective-knowledge-management-and-applied-analytics\/","title":{"rendered":"Enriching Large Document Stores with Intelligent Metadata: a Framework for Effective Knowledge Management and Applied Analytics"},"content":{"rendered":"

Penko Ivanov, Elitsa Pavlova<\/strong>
\nThe Financial Times (Bulgaria)<\/em><\/p>\n

https:\/\/doi.org\/10.53656\/math2023-4-2-enr<\/a><\/p>\n

Abstract.<\/strong> The current paper focuses on a framework for structuring large document stores with the help of intelligent metadata. The described landscape includes a proprietary knowledge graph which ingests millions of concepts from external, third-party data providers and accommodates internal class taxonomies; an NLP service for automated annotation of textual data; an annotations quality control mechanism; tools for knowledge graph ontology and concept management; and an extensive API layer. The authors present an approach they have tested and proved successful in one of the leading media companies in the world, whose media content is a core data asset. The proposed solutions enable content analytics in their proper context and allow explicit and implicit connections between the content and other company data \u2013 i.e., user (media content consumer) data. The latter empowers the efficient application of advanced analytical models for searches and recommendations and the implementation of accurate data-driven virtual assistants.
\nThe paper advises addressing the metadata quality concerns, which the authors\u2019 extensive practice identifies as an essential prerequisite for applied analytics delivering significant business value.
\nKeywords:<\/em> software engineering; AI; data science; machine learning; NLP; metadata; knowledge graphs; ontology; metadata quality; business analytics<\/p>\nLog in to read the full text<\/a>","protected":false},"excerpt":{"rendered":"

Penko Ivanov, Elitsa Pavlova The Financial Times (Bulgaria) https:\/\/doi.org\/10.53656\/math2023-4-2-enr Abstract. The current paper focuses on a framework for structuring large document stores with the help of intelligent metadata. The described landscape includes a proprietary knowledge graph which ingests millions of concepts from external, third-party data providers and accommodates internal class taxonomies; an NLP service for […]<\/p>","protected":false},"author":124332423429233,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":{"source_name":"","source_url":"","via_name":"","via_url":"","override_template":"0","override":[{"template":"1","single_blog_custom":"","parallax":"1","fullscreen":"1","layout":"right-sidebar","sidebar":"default-sidebar","second_sidebar":"default-sidebar","sticky_sidebar":"1","share_position":"bottom","share_float_style":"share-monocrhome","show_share_counter":"1","show_view_counter":"1","show_featured":"0","show_post_meta":"1","show_post_author":"0","show_post_author_image":"1","show_post_date":"0","post_date_format":"default","post_date_format_custom":"Y\/m\/d","show_post_category":"1","show_post_reading_time":"1","post_reading_time_wpm":"300","show_zoom_button":"1","zoom_button_out_step":"2","zoom_button_in_step":"3","show_post_tag":"1","show_prev_next_post":"1","show_popup_post":"1","number_popup_post":"3","show_author_box":"0","show_post_related":"0","show_inline_post_related":"0"}],"override_image_size":"0","image_override":[{"single_post_thumbnail_size":"crop-500","single_post_gallery_size":"crop-500"}],"trending_post":"0","trending_post_position":"meta","trending_post_label":"Trending","sponsored_post":"0","sponsored_post_label":"Sponsored by","sponsored_post_name":"","sponsored_post_url":"","sponsored_post_logo_enable":"0","sponsored_post_logo":"","sponsored_post_desc":"","disable_ad":"0"},"jnews_primary_category":{"id":"","hide":""}},"categories":[1],"tags":[],"yoast_head":"\nEnriching Large Document Stores with Intelligent Metadata: a Framework for Effective Knowledge Management and Applied Analytics - \u0410\u0437-\u0431\u0443\u043a\u0438<\/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:\/\/newspaper.azbuki.bg\/en\/uncategorized\/enriching-large-document-stores-with-intelligent-metadata-a-framework-for-effective-knowledge-management-and-applied-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Enriching Large Document Stores with Intelligent Metadata: a Framework for Effective Knowledge Management and Applied Analytics - \u0410\u0437-\u0431\u0443\u043a\u0438\" \/>\n<meta property=\"og:description\" content=\"Penko Ivanov, Elitsa Pavlova The Financial Times (Bulgaria) https:\/\/doi.org\/10.53656\/math2023-4-2-enr Abstract. 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