| 書目名稱 | Reasoning Web. Learning, Uncertainty, Streaming, and Scalability | | 副標(biāo)題 | 14th International S | | 編輯 | Claudia d’Amato,Martin Theobald | | 視頻video | http://file.papertrans.cn/823/822479/822479.mp4 | | 概述 | Made for students, researchers and practitioners interested in Knowledge Graphs, Question Answering, and Semantic Web.Thoroughly revised tutorials cover logical foundations for constructing and queryi | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | .This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018...The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently ?received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can makeRDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) | | 出版日期 | Textbook 2018 | | 關(guān)鍵詞 | international summer school; semantic Web; knowledge graphs; rule-based reasoning; data uncertainty; scal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-00338-8 | | isbn_softcover | 978-3-030-00337-1 | | isbn_ebook | 978-3-030-00338-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2018 |
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