Information Studies


Knowledge, Information and Data Science (KIDS) Group

We are an active research group with interests and expertise that span across a number of fields of AI including: knowledge representation, reasoning about actions, natural language processing, probabilistic logics, non-monotonic logics, argumentation, Bayesian reasoning, statistical machine learning, data science, linked data, ontology engineering, semantic data modelling and crowdsourcing. Our overarching research objective is to develop methodologies, algorithms and paradigms that build bridges between logic-based AI and statistical machine learning approaches, as well as finding practical applications in robust real-world systems.



  • Kalliopi Kontiza (PhD): Cognitive-based evaluation of a visualisation framework for exploring structured cultural heritage data
  • Diego Ramírez Echavarría (PhD): Using linguistic knowledge to augment the learning of text embeddings
  • Binxia Xu (PhD): Towards video-based question answering for Ambient Intelligence

Affiliate Members

Active Projects

Selected Publications

  • Daniel Cunliffe, Andreas Vlachidis, Daniel Williams, Douglas Tudhope: Natural language processing for under-resourced languages: Developing a Welsh natural language toolkit. Comput. Speech Lang. 72: 101311 (2022)
  • Nemorin, S., Vlachidis, A., Hayford, A., & Andriotis, P. (2022). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology. doi:10.1080/17439884.2022.2095568
  • Onah, D.F.O., Pang E.L.L., &  El-Haj, M. (2022). A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling. arXiv:2207.14687.
  • Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis:
    Abstract Argumentation Frameworks with Domain Assignments. IJCAI 2021: 2076-2082
  • Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens, Rob Miller: Probabilistic reasoning about epistemic action narratives. Artificial Intelligence 287: 103352 (2020)
  • Giorgos Flouris, Antonis Bikakis: A comprehensive study of argumentation frameworks with sets of attacking arguments. Int. J. Approx. Reason. 109: 55-86 (2019)
  • Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda: Probabilistic abductive logic programming using Dirichlet priors. Int. J. Approx. Reasoning 78: 223-240 (2016)