A truly intelligent Web should also grasp the meaning of history, music, the Humanities.
I am a postdoctoral researcher at the Knowledge Representation & Reasoning Group of the Vrije Universiteit Amsterdam. I investigate the representation, access, and integration of non-verbal knowledge, such as historical objects, musical sheets, and statistical registers.
I am currently involved in CLARIAH, a Dutch Science Foundation (NWO) project that aims at building a distributed infrastructure for the humanities and social sciences. I completed my PhD in 2016, with the thesis Refining Statistical Data on the Web, under the supervision of Frank van Harmelen, Stefan Schlobach and Andrea Scharnhorst (browse it, or order a printed copy). I had an unconditional support from Data Archiving and Networked Services and the eHumanities Group of the Royal Netherlands Academy of Arts and Sciences (KNAW). Until 2011, I developed semantic-based tools to support legal decision making at the Institute of Law and Technology.
Some things I've written/contributed to:
- The MIDI Linked Data Cloud, a Linked Data representation of digital music in MIDI format containing 350K songs and 10B triples
- grlc, a service that transforms GitHub repositories with SPARQL queries into Linked Data APIs automatically
- TabLinker, a framework for integrating messy spreadsheet collections into fully fledged RDF Data Cube (example result here)
- LSD Dimensions, an aggregator of statistical dimensions and Data Structure Definitions in use in public SPARQL endpoints
- Linked Edit Rules, the hub for publishing edit rules (data quality checkers) as Linked Data
- SCRY, a lightweight SPARQL endpoint with customizable, standard-compliant and implementation-independent functions