Dr. Andreas Vlachidis is Associate Professor in Information Science at UCL's department of information studies, teaching modules in Information Science Technology and in Natural Language Processing and Text Analysis. He is Co-Investigator and Technical Lead of the Sloane Lab, leading the project's aims on data unification, aggregation, and knowledge base development. His research is interdisciplinary and draws from Information Science, Humanities and Computer Science. His main research interests are in Information Extraction, Semantic Data Modelling and Metadata. He is interested in the application of Natural Language Processing and Semantic Technologies for advancing information integration, FAIR data use and interoperability. He is also interested in text mining and conceptual data modelling within the broader areas of humanities, cultural heritage, and social sciences.
This Friday Frontiers presentation provides a rich insight to the design and development of the University College London's Sloane Lab knowledge base, the modelling choices, and priorities in relation to semantics and vocabularies and the range of challenges addressed in the process of aggregation in terms of data disparity, integration facility, conflicting information and inconsistency, uncertainty and data absence.
