linking islands of data project full details
Linking Islands of Data - A UK/USA AHRC network
Linking Islands of Data will create a research network based around centres of excellence that study the Classical World on both sides of the Atlantic
Linking Islands of Data will create a research network based around centres of excellence that study the Classical World on both sides of the Atlantic and build upon the legacy of the National Endowment for Humanities funded Linked Ancient World Data Institute.
This network will focus on classics, archaeology, epigraphy and museology and create a variety of digital and analogue outputs - including an application programming interface (API), documentation and guidance for best practice in the use of Linked Open Data and high resolution document handling - using established and emergent technological methods and communities of practice based around 3 workshops held at the Fitzwilliam Museum, Brown University and Open Context.
Antonini, A. and Brooker, S. (2025). On the aesthetics of hypertext: a case study on names and a general framework. New Review of Hypermedia and Multimedia, 31(1-2), pp. 7–29. https://oro.open.ac.uk/99876/.
Bakir, M.E., Farrell, T. and Bontcheva, K. (2024). Abuse in the time of COVID-19: the effects of Brexit, gender and partisanship. Online Information Review, 48(5), pp. 1045–1062. https://oro.open.ac.uk/96561/.
Benatti, F., Norrick-Rühl, C. and Antonini, A. (2021). Reading Popular Culture Offline and Online: Outlining a Comparative Study of Reading Experiences Between Webcomics and Twenty-First Century Book Club Choices. In: 2nd International Conference of the European Association for Digital Humanities, 21-25 Sep 2021, Russia. https://oro.open.ac.uk/91565/.
Antonini, A., Adamou, A., Suarez Figueroa, M.C. and Benatti, F. (2023). Experiential Observations: an Ontology Pattern-based Study on Capturing the Potential Content within Evidences of Experiences. Journal on Computing and Cultural Heritage, 16(3), https://oro.open.ac.uk/88479/.
Benatti, F., Vignale, F., Antonini, A. and King, E. (2023). Reading in Europe—Challenges and lessons learned from the case studies of the READ-IT project. Digital Scholarship in the Humanities, 38(2), pp. 477–481. https://oro.open.ac.uk/85900/.
Antonini, A. (2022). On Epistemic Comparability and Challenges on Data Reuse: The Experience of READ-IT. In: DH2022 book of abstracts, 25-29 Jul 2022, Japan. https://oro.open.ac.uk/82366/.
Antonini, A. and Benatti, F. (2022). Cultural Challenges of DH Reflecting on DH Waves. In: Digital Humanities Congress 2022, 8-11 Sep 2022, Sheffield, UK. https://oro.open.ac.uk/85330/.
Antonini, A., Vignale, F. and Gravier, G. (2020). READ-IT deliverable D2 - Model of the State of Mind V1. 7. The Open University. https://oro.open.ac.uk/76044/.
Benatti, F. and Antonini, A. (2021). Into the Macroscope: Systematic integration of micro- and macro-scale study of digital reading. In: The 17th IGEL Conference, 23 Jun - 26 Jun 2021, University of Liverpool (Remote). https://oro.open.ac.uk/78902/.
Antonini, A., Benatti, F., Watson, N., King, E. and Gibson, J. (2021). Death and Transmediations: Manuscripts in the Age of Hypertext. In: 32nd ACM Conference on Hypertext and Social Media, HT 2021, 30 Aug - 2 Sep 2021, Virtual Event USA. https://oro.open.ac.uk/78374/.
Antonini, A. and Benatti, F. (2020). *ing the Written Word: Digital Humanities Methods for Book History. In: SHARP 2020: Power of the Written Word, 11-15 Jul 2020, Amsterdam. https://oro.open.ac.uk/74880/.
Antonini, A., Suárez-Figueroa, M.C., Adamou, A., Benatti, F., Vignale, F., Gravier, G. and Lupi, L. (2021). Understanding the phenomenology of reading through modelling. Semantic Web Journal, 12(2), pp. 191–217. https://oro.open.ac.uk/71956/.
Antonini, A., Brooker, S. and Benatti, F. (2020). Circuits, Cycles, Configurations: an Interaction Model of Web Comics. In: The 13th International Conference on Interactive Digital Storytelling, 3-6 Nov 2020, Bournemouth, UK. https://oro.open.ac.uk/71578/.
Antonini, A. and Brooker, S. (2020). Mediation as Calibration: A Framework for Evaluating the Author/Reader Relation. In: Proceedings of the 31st ACM HyperText, 13-15 Jul 2020, Orlando, Florida, USA. https://oro.open.ac.uk/70782/.
Antonini, A., Benatti, F. and Blackburn-Daniels, S. (2020). On Links To Be: Exercises in Style #2. In: 31st ACM Conference on Hypertext and Social Media (HT’20), 13-15 Jul 2020, Online. https://oro.open.ac.uk/70781/.
Antonini, A., Vignale, F., Guillaume, G. and Brigitte, O.V. (2019). The Model of Reading: Modelling principles, Definitions, Schema, Alignments. READ-IT. https://oro.open.ac.uk/68546/.
Antonini, A., Gomez Mejia, G. and Lupi, L. (2019). All We Do is "Stalking": Studying New Forms of Reading in Social Networks. In: HyperText 2019, 17-20 Sep 2019, Hof, Germany. https://oro.open.ac.uk/62259/.
Daga, E., d'Aquin, M. and Motta, E. (2017). Propagating Data Policies: a User Study. In: Knowledge Capture (K-Cap 2017), 4-6 Dec 2017, Austin, Texas, USA. https://oro.open.ac.uk/52707/.
Dickinson, T., Fernandez, M., Thomas, L.A., Mulholland, P., Briggs, P. and Alani, H. (2016). Identifying Important Life Events from Twitter Using Semantic and Syntactic Patterns. In: 15th International Conference WWW/Internet 2016, 28-30 Oct 2016, Mannheim, Germany. https://oro.open.ac.uk/48679/.
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2016). Detecting Important Life Events on Twitter Using Frequent Semantic and Syntactic Subgraphs. IADIS International Journal on WWW/Internet, 14(2), pp. 23–37. https://oro.open.ac.uk/48678/.
