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SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data

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Gonzalez-Beltran, Alejandra; Osborne, Francesco; Peroni, Silvio and Vahdati, Sahar (2017). SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data. In: WWW ’17 Companion - Proceedings of the 26th International Conference on Companion, 3-7 Apr 2017, Perth, Australia, ACM Press.

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Link(s) to article on publisher’s website: http://dx.doi.org/doi:10.1145/3041021.3055257

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Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data

Alejandra Gonzalez-Beltran Francesco Osborne e-Research Centre, Knowledge Media Institute, , University of Oxford, Oxford, UK Milton Keynes, UK [email protected] [email protected] Silvio Peroni Sahar Vahdati Department of Computer and Enterprise Information Systems, Engineering, University of Bologna, , Bonn, Bologna, Italy [email protected] [email protected]

ABSTRACT dustrial PC, whose members evaluate the submissions from The third edition of the Workshop on Semantics, Analyt- an industrial perspective, mainly by assessing how much the ics and Visualisation: Enhancing Scholarly Data (SAVE-SD theories/applications described in the papers do/may influ- 2017) is taking place in Perth, Australia on the 3rd of April ence the publishing domain and whether they could be con- 2017, co-located with the 26th International World Wide cretely adopted by publishers and scholarly data providers, Web Conference. The main goal of the workshop is to pro- and (iii) the academic PC, whose members evaluate the pa- vide a venue for researchers, publishers and other companies pers from an academic perspective, mainly by assessing the to engage in discussions about semantics, analytics and vi- quality of the research described. sualisations on scholarly data. 2. OBJECTIVES The main objective of this workshop is to bring together 1. INTRODUCTION researchers, publishers, and other companies fields such as Recent years have seen increasing concerns about the dif- Document and Knowledge Engineering, Semantic Web, Nat- ficulty in reproducing research results, revealing an uncom- ural Language Processing, Scholarly Communication, Bib- fortable reproducibility crisis [1], in scientific circles [1] [2] liometrics, and Human-Computer Interaction. By fostering and beyond [3]. Supporting new forms of scholarly data pub- discussions among these different stakeholders we aim to lication and analysis is crucial to tackle this reproducibility bridge the gap between the theoretical and practical aspects crisis, encouraging and supporting researchers to make their of scholarly data and innovative ways of scholarly commu- scholarly outputs available. nication. We would like to address topics such as: The SAVE-SD workshop provides a venue for discussions about enhancing scholarly data among researchers, publish- • semantics of scholarly data, i.e. semantic represen- ers and other companies interested in data semantics, ana- tation, categorisation, connection and integration of lytics and visualisation, and scenarios revolving around the scholarly data; production and use of scholarly data. We aim to comple- • analytics on scholarly data, i.e. designing and imple- ment the efforts of other organisations and venues around menting novel and scalable algorithms for knowledge scholarly communications, such as The future of Research extraction with the aim of understanding research dy- Communications and e-Scholarship (Force11, https://www. namics, forecasting research trends, fostering connec- force11.org) and the Research Data Alliance (RDA, https: tions between groups of researchers, etc.; //www.rd-alliance.org). To reflect the different stakeholders we aim to engage, • visualisation of and interaction with scholarly data, SAVE-SD has three program committees (PCs): (i) the se- i.e. providing novel user interfaces and applications nior PC, whose members act as meta-reviewers, (ii) the in- for navigating and making sense of scholarly data and highlighting their patterns and peculiarities. l’2017 International World Wide Web Conference Committee 3. ORGANISERS AND PROGRAMME COM- (IW3C2), published under Creative Commons CC BY 4.0 License. MITTEES WWW 2017, April 3–7, 2017, Perth, Australia. ACM 978-1-4503-4913-0/17/04. Workshop Organisers http://dx.doi.org/10.1145/10.1145/3041021.3055257 Alejandra Gonzalez-Beltran (University of Oxford) Francesco Osborne (KMi, The Open University) Silvio Peroni (University of Bologna) . Sahar Vahdati (University of Bonn)

1681 Senior Program Committee 4. TOPICS OF INTEREST Timothy W. Clark () The main topics of the workshop include, but are not Aldo Gangemi (Université de Paris 13 and CNR) limited to: Ivan Herman (Digital Publishing Lead, W3C) Pascal Hitzler (Wright State University) • data models (e.g., ontologies, vocabularies, schemas) Enrico Motta (KMi, The Open University) for the description of scholarly data and the linking Susanna-Assunta Sansone (University of Oxford and NPG) between scholarly data and academic papers that re- Daniel Schwabe (Pontifical Catholic University of Rio de port or cite them; Janeiro) • description of citations and citation networks; Simone Teufel (University of ) Fabio Vitali (University of Bologna) • theoretical models describing the rhetorical and argu- Industrial Program Committee mentative structure of scholarly papers and their ap- Aliaksandr Birukou (Springer) plication in practice; Scott Edmunds (GigaScience and BioMed Central) • from digital of scholarly papers to Linked Open Anita de Waard () Datasets: models, applicability and challenges; Patricia Feeney (CrossRef) Maarten Fröhlich (IOS Press) • modelling licences and provenance for scholarly docu- Paul Groth (Elsevier Labs) ments and data; Laurel L. Haak (ORCID) • assessing the quality and/or trust of scholarly data; Thomas Ingraham (F1000Research) Kris Jack (Mendeley) • automatic or semi-automatic approaches to reconstruc- Petr Knoth (Mendeley) tion, forecasting and monitoring of scholarly data; Eamonn Maguire (Pictet Asset Management) Michele Pasin (Springer Nature) • automatic semantic enhancement of existing scholarly Lyubomir Penev (Pensoft Publishers) libraries and papers; Eric Prud’hommeaux (W3C) • novel user interfaces for interaction with paper, meta- Anna Tordai (Elsevier) data, content, and data; Alex Wade (Microsoft Research) Academic Program Committee • visualisation and user interface regarding scholarly data; Andreas Behrend (University of Bonn) • applications for the (semi-)automatic annotation of Andrea Bonaccorsi (University of Pisa) scholarly papers. Davide Buscaldi (Université de Paris 13) Paolo Ciancarini (University of Bologna) Paolo Ciccarese (Harvard University) 5. SUBMISSIONS AND PROGRAMME Oscar Corcho (UPM) Several formats were possible for the submission, includ- Mathieu d’Aquin (KMi, The Open University) ing HTML (that was strongly encouraged as it allowed one Rob Davey (Genome Analysis Centre) to provide enhanced scholarly data), DOCX, ODT, and Stefan Dietze (L3S Research Center) PDF. Angelo Di Iorio (University of Bologna) The invited speaker for the opening keynote of the work- Alexander García Castro (Florida State University) shop is Patricia Feeney, Product Support Manager at Cross- Leyla Jael García Castro (University of Munich) ref, while the full program of SAVE-SD 2017 is available Daniel Garijo (University of Southern California) in the workshop webpage at http://cs.unibo.it/save- Anna Lisa Gentile (University of ) sd/2017/index.html. Updates about the workshop can be Andrea Giovanni Nuzzolese (ISTC-CNR Rome) followed through its twitter account: @savesdworkshop. Asunción Gómez Pérez (UPM) Tudor Groza (Garvan Institute of Medical Research) Acknowledgements Tom Heath (Open Data Institute) We thank the authors for sharing their compelling approaches Rinke Hoekstra (Free University Amsterdam) and ideas. We are also grateful to the programme commit- Tomi Kauppinen (Aalto University, and University of Mün- tees for their time and high-quality feedback and reviews. ster) Finally, we are thankful to Springer Nature for sponsoring Tobias Kuhn (Free University Amsterdam) the best HTML paper award. Steffen Lohmann () Giulio Napolitano (University of Bonn) 6. REFERENCES Terhi Nurmikko-Fuller (Australian National University) [1] Baker. “1,500 scientists lift the lid on reproducibility”, Steve Pettifer () Nature, May 2016. DOI: Francesco Poggi (University of Bologna) http://dx.doi.org/10.1038/533452a Philippe Rocca-Serra (University of Oxford) [2] Nature Special. “Challenges in irreproducible research”. Francesco Ronzano (Universitat Pompeu Fabra) http://www.nature.com/news/reproducibility- Angelo Antonio Salatino (KMi, The Open University) 1.17552 Bahar Sateli (Concordia University) [3] , “How science goes wrong”, Jodi Schneider (University of Pittsburgh) http://www.economist.com/news/leaders/21588069- Ilaria Tiddi (KMi, The Open University) scientific-research-has-changed-world-now-it- needs-change-itself-how-science-goes-wrong

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