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The Smart Book Recommender: An Ontology-Driven Application for Recommending Editorial Products

Thanapalasingam, Thiviyan; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico (2018). The Smart Book Recommender: An Ontology-Driven Application for Recommending Editorial Products. In: International Semantic Web Conference (ISWC) 2018, 08-12 Oct 2018, Monterey, California, United States.

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Abstract

Promoting books and journals to the relevant research communities is an important task for major academic publishers. Unfortunately, identifying which are the best editorial products to market at a certain academic venue is a time-consuming and error-prone process. Here we present the Smart Book Recommender (SBR), an ontology-based recommender that supports the Springer Nature editorial team in selecting the editorial products to market at specific venues. SBR provides an interactive visualisation for analysing the topics characterizing conference series and books. It builds on a dataset of 27K books, journals, and conference proceedings annotated with topics from the Computer Science Ontology, a large-scale ontology of research areas. A user study showed that SBR is able to produce useful recommendations for both editors and researchers.

Item Type: Conference or Workshop Item
Keywords: Recommender System, Scholarly Data, Scholarly Ontologies, Data Mining, Conference Proceedings, Metadata
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 55893
Depositing User: Thiviyan Thanapalasingam
Date Deposited: 20 Aug 2018 08:16
Last Modified: 08 Dec 2018 04:12
URI: http://oro.open.ac.uk/id/eprint/55893
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