{"id":6284,"date":"2022-06-08T17:33:31","date_gmt":"2022-06-08T15:33:31","guid":{"rendered":"https:\/\/sda.tech\/?page_id=6284"},"modified":"2022-06-08T17:46:45","modified_gmt":"2022-06-08T15:46:45","slug":"topics","status":"publish","type":"page","link":"https:\/\/sda.tech\/topics\/","title":{"rendered":"Topics"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Distributed Semantic Analytics<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"256\" height=\"256\" src=\"https:\/\/sda.tech\/wp-content\/uploads\/2020\/02\/Distributed-Semantic-Analytics.png\" alt=\"\" class=\"wp-image-4752 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:14px\">The research group develops scalable analytics algorithms based on Apache Spark and Apache Flink for analyzing large scale datasets by distributing the computational tasks in memory.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Knowledge Graph Analysis<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"192\" height=\"256\" src=\"https:\/\/sda.tech\/wp-content\/uploads\/2020\/02\/Knowledge-Graph-Analysis-.png\" alt=\"\" class=\"wp-image-4753 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:14px\">The group focuses on machine learning over knowledge graphs, in particular by computing embeddings and by learning description logic concepts.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Semantic Question Answering<\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"256\" height=\"256\" src=\"https:\/\/sda.tech\/wp-content\/uploads\/2020\/02\/Semantic-Question-Answering.png\" alt=\"\" class=\"wp-image-4756 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:14px\">The use of Semantic Web technologies led to an increasing number of structured data published on the Web. Despite the advances&nbsp;in&nbsp;question answering systems retrieving the desired information from structured sources is still a substantial challenge.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Software Engineering for Data Science<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"256\" src=\"https:\/\/sda.tech\/wp-content\/uploads\/2020\/02\/Software-Engineering-for-Data-Science.png\" alt=\"\" class=\"wp-image-4755 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:14px\">The SEEDS group is dedicated to the cross-fertilization of software engineering, data science and machine learning:<\/p>\n\n\n\n<ul class=\"wp-block-list\" style=\"font-size:14px\"><li><strong>Software engineering for Data Science<\/strong>&nbsp;addresses the use of software engineering techniques for improving the ease of use, predictabilty, reliability and robustness of current data analytics and machine learning tools, languages and frameworks. Our&nbsp;<a href=\"http:\/\/sda.tech\/projects\/simple-ml\/\">Simple-ML project<\/a>, dedicated to the development of an easy to use domain-specific language for data analytics, exemplifies this direction.<\/li><li><strong>Data Science for Software Engineering<\/strong>&nbsp;investigates how machine learning \/ data science can provide new solutions to classic software engineering problems such as software quality analysis, fault detection, program comprehension, human computer \/ computer human interaction, etc., advancing the way in which software is designed, synthetised and assessed.<\/li><\/ul>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>&hellip;<\/p>\n","protected":false},"author":34,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6284","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/pages\/6284","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/users\/34"}],"replies":[{"embeddable":true,"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/comments?post=6284"}],"version-history":[{"count":9,"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/pages\/6284\/revisions"}],"predecessor-version":[{"id":6304,"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/pages\/6284\/revisions\/6304"}],"wp:attachment":[{"href":"https:\/\/sda.tech\/wp-json\/wp\/v2\/media?parent=6284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}