Category Archives: News

Transmedia Beyond Definitions

The UK team members Francesca Benatti and Alessio Antonini are organizing the workshop “Transmedia Beyond Definitions” to bootstrap a cross-disciplinary discussion on the emerging practices of cross-media reading and authoring. The CfP is open for a number of contributions ranging from research papers, vision papers to flash talks. The submission deadline is February 5th 2021, […]

UK-RED & READ-IT

The UK Reading Experience Database (UK-RED) is a pioneering project collecting reading experiences, for over 20 years. On 4 January 2021, the UK team of READ-IT released a new version of the UK-RED data including a documented ontology and mappings with the READ-IT Reading Experience Ontology and Crowdsourcing Experience Ontology and the CIDOC-CRM implementation of […]

Circuits, Cycles, Configurations: an Interaction Model of Web Comics

In November 2020, Francesca Benatti and Alessio Antonini from the UK team of READ-IT, with Sam Brooker of the Richmond University of London, presented a new paper on Webcomics at the International Conference on Interactive Digital Storytelling (ICIDS2020). The paper “Circuits, Cycles, Configurations: an Interaction Model of Web Comics” discusses the role of non-diegetic interactions […]

ISWC2020 – Best Demo of the Day Award

Last November, at the 19th International Semantic Web Conference, we presented one of our latest research efforts: the AIDA Dashboard. The AIDA Dashboard, is a tool that we developed in collaboration with the University of Cagliari (IT), and by integrating statistical analysis, semantic technologies, and visual analytics techniques allows users to explore and make sense […]

READ-IT launches its friendly chatbot

Fancy having a chat about your reading in realtime? Now you can, with the project chatbot. Our friendly bot will ask you questions about your reading, interact with your answers, and suggest further reading and engagement opportunities. You can find the READ-IT chatbot on the Telegram platform: https://t.me/TellMeWhatUReadingbot If you’d like to download the Telegram app […]

Bologna confirmed as Smart City host for SciRoc 2021!

We are thrilled to announce that the second edition of our Smart City Robotics Challenge (SciRoc) will take place in the beautiful city of Bologna, Italy from the 6th – 11th September 2021. Following the success of the first Smart City challenge hosted by Milton Keynes, UK in 2019, the second edition of SciRoc will […]

READ-IT Consortium Meetings, 20-21.10.2020 (online)

The Open University were pleased to host the most recent consortium meeting on the 20-21 October 2020. On 20 October, we focussed on individual reports from all colleagues on different work packages, presentation and discussion around technical developments, annotation campaigns, and public engagement. On 21 October, we had an exciting research day, where members of the consortium and […]

Agnese’s presentation at KR 2020 tops the charts

The 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020) was held virtually on September 12-18. This year, a special track was devoted to research contributions at the intersection of Knowledge Representation and Robotics. 25% of the submissions to this special track were accepted as full papers. Agnese Chiatti, together with supervisors […]

Finalists at DataIQ 2020 Awards

The Smart Topic Miner, which is an innovative state-of-the-art AI application for automating editorial processes at Springer Nature and improving access to scientific knowledge, has been shortlisted for the “Most Innovative use of AI” DataIQ 2020 Awards. Smart Topic Miner analyses scientific publications in Computer Science and classifies them with very high accuracy in terms […]

Crowdsourcing Evidences

The READ-IT UK technical team have published an ontology for describing the READ-IT crowdsourcing of reading experiences on GitHub. This new ontology is used to describe the data collected through the READ-IT postcard campaigns, the upcoming READ-IT chatbot for telegram and manuscripts and other sources collected through the contribution platform. The use of the Crowdsourcing Evidences ontology […]