{"id":666,"date":"2017-12-21T13:17:21","date_gmt":"2017-12-21T12:17:21","guid":{"rendered":"https:\/\/testwebsite.2018.eswc-conferences.org\/?page_id=666"},"modified":"2017-12-21T13:19:56","modified_gmt":"2017-12-21T12:19:56","slug":"semantic-data-management-and-big-data","status":"publish","type":"page","link":"\/subtracks\/semantic-data-management-and-big-data\/","title":{"rendered":"Semantic Data Management and Big Data"},"content":{"rendered":"
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Description<\/strong><\/h2>\n
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Semantic data management refers to approaches that focus on maintaining and using data in terms of its meaning. While there exist effective solutions for semantic data management, Big Data characteristics like volume, variety, velocity, and veracity prevent such solutions from being used on a large scale. In particular, data management tasks that require automated inferencing may be affected negatively by Big Data characteristics, and novel methods are required to address these issues efficiently.
\nThe aim of this track is to gather researchers and developers from the Semantic Web, Databases, and Artificial Intelligence fields to discuss research issues, experiences, and results in designing, implementing, deploying, and evaluating theories, techniques, and applications related to semantic data management on Big Data sources.<\/p>\n

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Topics<\/strong><\/h2>\n
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Topics of interest include, but are not limited to:<\/p>\n

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  • Distributed infrastructures for Semantic Data Management over Big Data sources<\/li>\n
  • Semantic Data Management Techniques for Big Data<\/li>\n
  • Query processing of Semantic Data<\/li>\n
  • Access Control and Privacy in Semantic Data<\/li>\n
  • Synchronization Models<\/li>\n
  • Semantic Data Integration and Quality Assessment<\/li>\n
  • Traceability and Trustworthiness<\/li>\n
  • Ranking of Semantic Data\u00a0Semantic Data Analytics<\/li>\n
  • Storage Models for Semantic Data<\/li>\n
  • Semantic Searching and Browsing<\/li>\n
  • Management of Provenance of Semantic Data<\/li>\n
  • Semantic Data Management for Dynamic and Temporal Data<\/li>\n
  • Semantic Data Management and Polyglot Persistence<\/li>\n
  • Empirical Studies of Semantic Data Management Techniques<\/li>\n
  • Benchmarks for Semantic Data Management Techniques<\/li>\n
  • Domain-specific Semantic Data Management approaches for, e.g., life sciences, e-government, healthcare, and finance\n
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    <\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

    Description Semantic data management refers to approaches that focus on maintaining and using data in terms of its meaning. While there exist effective solutions for semantic data management, Big Data characteristics like volume, variety, velocity, and veracity prevent such solutions from being used on a large scale. In particular, data management tasks that require automated […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":155,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\nSemantic Data Management and Big Data - 2018 ESWC-Conferences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \>\n<link rel=\"canonical\" href=/wp-json/wp/v2/pages/666/\"\/subtracks\/semantic-data-management-and-big-data\/\" \>\n<meta property=\"og:locale\" content=\"en_US\" \>\n<meta property=\"og:type\" content=\"article\" \>\n<meta property=\"og:title\" content=\"Semantic data management and big - 2018 eswc-conferences\" \>\n<meta property=\"og:description\" content=\"Description semantic data management refers to approaches that focus on maintaining and using in terms of its meaning. while there exist effective solutions for management, big characteristics like volume, variety, velocity, veracity prevent such from being used a large scale. particular, tasks require automated […]\" \>\n<meta property=\"og:url\" content=\"\/subtracks\/semantic-data-management-and-big-data\/\" \>\n<meta property=\"og:site_name\" content=\"2018 eswc-conferences\" \>\n<meta property=\"article:modified_time\" content=\"2017-12-21T12:19:56+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\":\"WebSite\",\"@id\":\"\/#website\",\"url\":\"\/\",\"name\":\"2018 ESWC-Conferences\",\"description\":\"15th ESWC 2018\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":\"\/?s={search_term_string}\",\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"\/subtracks\/semantic-data-management-and-big-data\/#webpage\",\"url\":\"\/subtracks\/semantic-data-management-and-big-data\/\",\"name\":\"Semantic Data Management and Big Data - 2018 ESWC-Conferences\",\"isPartOf\":{\"@id\":\"\/#website\"},\"datePublished\":\"2017-12-21T12:17:21+00:00\",\"dateModified\":\"2017-12-21T12:19:56+00:00\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"\/subtracks\/semantic-data-management-and-big-data\/\"]}]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","_links":{"self":[{"href":"\/wp-json\/wp\/v2\/pages\/666"}],"collection":[{"href":"\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"\/wp-json\/wp\/v2\/comments?post=666"}],"version-history":[{"count":4,"href":"\/wp-json\/wp\/v2\/pages\/666\/revisions"}],"predecessor-version":[{"id":670,"href":"\/wp-json\/wp\/v2\/pages\/666\/revisions\/670"}],"up":[{"embeddable":true,"href":"\/wp-json\/wp\/v2\/pages\/155"}],"wp:attachment":[{"href":"\/wp-json\/wp\/v2\/media?parent=666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}