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Supporting Springer Nature Editors by means of Semantic Technologies

Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr; Thanapalasingam, Thiviyan and Motta, Enrico (2017). Supporting Springer Nature Editors by means of Semantic Technologies. In: International Semantic Web Conference (ISWC) 2017, 21-25 October 2017, Vienna, Austria.

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Abstract

The Open University and Springer Nature have been collaborating since 2015 in the development of an array of semantically-enhanced solutions supporting editors in i) classifying proceedings and other editorial products with respect to the relevant research areas and ii) taking informed decisions about their marketing strategy. These solutions include i) the Smart Topic API, which automatically maps keywords associated with published papers to semantically characterized topics, which are drawn from a very large and automatically-generated ontology of Computer Science topics; ii) the Smart Topic Miner, which helps editors to associate scholarly metadata to books; and iii) the Smart Book Recommender, which assists editors in deciding which editorial products should be marketed in a specific venue.

Item Type: Conference or Workshop Item
Keywords: Scholarly Data; Ontology Learning; Bibliographic Data; Scholarly Ontologies; Data Mining; Conference Proceedings;Metadata;Classification
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 50889
Depositing User: Francesco Osborne
Date Deposited: 22 Sep 2017 15:17
Last Modified: 25 Sep 2017 12:56
URI: http://oro.open.ac.uk/id/eprint/50889
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