Event Details

Knowledge graphs leveraging semantic technologies and Linked Data are becoming prevalent in the Web, connecting the world’s knowledge in institutional archives, scientific datasets, and industrial databases. Grounded in logics, objects and their relations, knowledge graphs typically assume that knowledge comes either from structured databases or natural language texts. However, other kinds of knowledge, typically found in cultural heritage and digital humanities datasets, are represented through a plethora of various co-existing modalities (music, sound, text, images, touch, etc.) that do not fit so trivially within classical models for knowledge graphs. In this talk, I will present some of my work in deploying multimodal knowledge graphs and semantic technologies for Cultural AI, in particular in the domains of music and cultural heritage; and will discuss some challenges  in how multimodal knowledge can be integrated, played, and collaboratively queried.

Speaker Bio

Dr. Albert Meroño Peñuela is a Lecturer (Assistant Professor) in Computer Science and Knowledge Engineering at the Department of Informatics of King's College London (United Kingdom). He obtained his PhD at the Vrije Universiteit Amsterdam in 2016, under the supervision of Frank van Harmelen, Stefan Schlobach, and Andrea Scharnhorst; and has done research at the Netherlands Academy of Arts and Sciences and the Autonomous University of Barcelona. His research focuses on Multimodal Knowledge Graphs, Web querying, and Cultural AI. Albert has participated in large Knowledge Graph infrastructure projects in Europe, such as CLARIAH, DARIAH and Polifonia H2020; and has published research in ISWC, ESWC, the Semantic Web Journal and the Journal of Web Semantics.