Metadata and Semantic Research 11th International Conference, MTSR 2017, Tallinn, Estonia, November 28 – December 1, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Garoufallou, Emmanouel (Επιμελητής έκδοσης), Virkus, Sirje (Επιμελητής έκδοσης), Siatri, Rania (Επιμελητής έκδοσης), Koutsomiha, Damiana (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Communications in Computer and Information Science, 755
• Θέματα: Computer science.; Mathematical logic.; Database management.; Information storage and retrieval.; Artificial intelligence.; Text processing (Computer science).; Application software.; Computer Science.; Information Storage and Retrieval.; Artificial Intelligence (incl. Robotics).; Database Management.; Document Preparation and Text Processing.; Mathematical Logic and Formal Languages.; Computer Appl. in Administrative Data Processing.
• Φυσική περιγραφή: XXII, 334 p. 72 illus. online resource.
• ISBN: 9783319708638
• ISSN: 1865-0929 ;

This book constitutes the thoroughly refereed proceedings of the 11th International Conference on Metadata and Semantic Research, MTSR 2017 2017, held in Tallinn, Estonia, November 28th to December 1st, 2017. The 18 full and 13 short papers presented were carefully reviewed and selected from 58 submissions. They focus on the Internet of Things (IoT) and the practical implementation of ontologies and linked data. Further topics are theoretical and foundational principles of metadata; ontologies and information organization; applications of linked data, open data, big data and user-generated metadata; digital interconnectedness; metadata standardization; authority control and interoperability in digital libraries and research data repositories; emerging issues in RDF, OWL, SKOS, schema.org, BIBFRAME, metadata and ontology design; linked data applications for e-books; digital publishing and Content Management Systems (CMSs); content discovery services, search, information retrieval and data visualization applications.