The seeks submissions for a special issue on Semantics in the Creative Industries, to be edited by and .
DEADLINE EXTENDED: Submissions due 7th February 2020
Call for Papers
Topics of interest include but are not limited to the following:
● Knowledge discovery and representation for cultural, artistic and intellectual works
● Ontology extraction, generation, alignment and verification in support of cultural activities and their reception
● Representation and exchange of workflows in the production-consumption chain of creative and artistic intellectual works
● Entity recognition, disambiguation and linking for cultural artefacts
● Research and applications that facilitate access to creative and artistic outputs and intellectual works on the Web
● Web-based systems for the production and/or analysis of intellectual works
● Dr George Fazekas (
) is a Senior Lecturer at the Center for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on semantic audio technologies at the confluence of signal processing, machine learning and knowledge-based semantic technologies and their applications to creative music production and music data science. He is an investigator of UKRI's £6.5M Centre for Doctoral Training in Artificial Intelligence and Music (AIM CDT). He was QMUL’s PI of the €2.9M EU/H2020 funded AudioCommons project focussing on enabling access to Creative Commons audio content on the web. He was CI of three Semantic Media projects looking at the application of semantic technologies in music and digital media, and co-author of the £5.2M EPSRC funded ‘Fusing Audio and Semantic Technologies’ (FAST) Programme Grant. He has published over 130 papers in the fields of Music Information Retrieval, Semantic Web, Ontologies, Deep Learning and Semantic Audio, including an award winning paper on transfer learning. He was general chair of ACM’s Audio Mostly 2017, and papers co-chair and organising committee leader of the AES 53rd International Conference on Semantic Audio.
● Dr Kevin Page () is an associate member of the Engineering Science faculty and senior researcher at the University of Oxford e-Research Centre, where he leads a team working on cultural and societal informatics. His research on web architecture and the semantic annotation and distribution of data has, through participation in numerous UK, EU, and international projects, been applied across a wide variety of domains including sensor networks, music information retrieval, scholarly texts, clinical healthcare, and remote collaboration for space exploration. His current work includes development of information seeking strategies for digital libraries, primarily through the use of knowledge graphs to provide contextual assistance to users. For several years Dr Page has been working towards the use of computational methods in the organisation and analysis of music and musical information, with a particular interest in ‘digital musicology’. He is principal investigator of the AHRC ‘Unlocking Musicology’ project and a co-investigator of ‘Digital Delius: Interpretation, Performance, and Analysis’. He is co-founder and chair of the Digital Libraries for Musicology series, and the in EPSRC ‘Fusing Audio and Semantic Technologies’ (FAST) project he leads the ‘Music Flows’ workthread, in which Linked Data intersects with workflows and Digital Music Objects (DMOs) to enhance the end-to-end value chain across the music industry from producer to consumer.
● Call for papers: 16th September 2019
● Submission deadline: 7th February 2020
● Author notification: 27th March 2020
● Publication: Q2 2020
The Journal of Web Semantics solicits original scientific contributions of high quality. Following the overall mission of the journal, we emphasize the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services.
Submission of your manuscript is welcome provided that it, or any translation of it, has not been copyrighted or published and is not being submitted for publication elsewhere. Manuscripts should be prepared for publication in accordance with instructions given in the
. The submission and review process will be carried out using Elsevier's Web-based . Please select “SI:Creative_Ind” when reaching the Article Type selection.
Upon acceptance of an article, the author(s) will be asked to transfer copyright of the article to the publisher. This transfer will ensure the widest possible dissemination of information. Elsevier's liberal permits authors and their institutions to host preprints on their web sites. Preprints of the articles will be made freely accessible via . Final copies of accepted publications will appear in print and at Elsevier's archival online server.