{"id":553362,"date":"2019-05-03T19:56:54","date_gmt":"2019-05-04T02:56:54","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=553362"},"modified":"2023-07-20T17:42:28","modified_gmt":"2023-07-21T00:42:28","slug":"event-tracking","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/event-tracking\/","title":{"rendered":"Project Event Tracking"},"content":{"rendered":"<p><span style=\"font-size: small;\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/cognitive-research\/\">< Back to Cognitive Research Technologies main page <\/a><\/span><\/p>\n<p><a class=\"button-solid no-margin-bottom\" style=\"margin-top: 10px; margin-right: 30px; min-width: 200px; width: 200px; max-width: 200px; padding: 10px; text-align: center;\" href=\"https:\/\/labs.cognitive.microsoft.com\/en-us\/Project-Cuzco\/documentation\/overview\" target=\"_blank\" rel=\"noopener noreferrer\">Documentation<\/a><\/p>\n<h3><\/h3>\n<p>Project Event Tracking is an API designed to help you find events associated with Wikipedia entities. Just start with an entity from Wikipedia, and the API will provide a list of related events organized by time.<\/p>\n<h2>New Signal Collection<\/h2>\n<p>This API lives on an engine listening to the world and collecting new signals that report events happening on the earth. The engine provides evidences with structural information from different sources, both positive and negative, biased and impartial. Picking all related signals together will help to characterize events happening in the future.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-553575 aligncenter\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/new_signal_collection.png\" alt=\"Project Event Tracking\" width=\"350\" height=\"200\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/new_signal_collection.png 350w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/new_signal_collection-300x171.png 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/p>\n<h2>Signal Clustering<\/h2>\n<p>After receiving signals collected from the engine, the API applies clustering and groups the signals according to both their content and structural information. That produces \u201cevent\u201d which presents by a group of signals from different sources and aspects for further manipulation.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-553581 aligncenter\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/singal_clustering.png\" alt=\"Project Event Tracking\" width=\"350\" height=\"200\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/singal_clustering.png 350w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/singal_clustering-300x171.png 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/p>\n<h2>Knowledge Entity Extraction<\/h2>\n<p>Along with signal clustering, the API also tries to extract knowledge entities from each signal unit. This procedure recognizes out normalized entities in the signal which distinguishes them even in ambiguous or alternative expressions. That will provide a more accurate brief understanding of signals.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-553584 aligncenter\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/knowledge_entity_extraction.png\" alt=\"Project Event Tracking\" width=\"350\" height=\"200\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/knowledge_entity_extraction.png 350w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/11\/knowledge_entity_extraction-300x171.png 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/p>\n<div><\/div>\n<p>&nbsp;<\/p>\n<hr \/>\n<p><span style=\"font-size: medium;\">Cognitive Research Technologies: <a class=\"text--xxs text--semilight text--azure\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/05\/Cognitive-Research-Technologies-Terms-of-Use.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Terms of Use<\/a> | <a class=\"text--xxs text--semilight text--azure\" href=\"https:\/\/stackoverflow.com\/questions\/tagged\/microsoft-cognitive\" target=\"_blank\" rel=\"noopener noreferrer\"> Stack Overflow <\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>< Back to Cognitive Research Technologies main page Documentation Project Event Tracking is an API designed to help you find events associated with Wikipedia entities. Just start with an entity from Wikipedia, and the API will provide a list of related events organized by time. New Signal Collection This API lives on an engine listening [&hellip;]\n<\/p>\n","protected":false},"featured_media":553269,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-553362","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[{"attachment_id":550461,"headline":"Explore Cognitive Services.","cta":"Learn More","url":"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/","cta_style":"","slideshow_type":"feature"}],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/553362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":15,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/553362\/revisions"}],"predecessor-version":[{"id":956370,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/553362\/revisions\/956370"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/553269"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=553362"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=553362"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=553362"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=553362"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=553362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}