Scientific Knowledge Engineering ('SKE') involves combining ontology/knowledge engineering, artificial intelligence, the semantic web, machine reading and science informatics techniques to support the development of next-generation scientific informatics infrastructure. This work is lead by Gully Burns, who joined the Chan Zuckerberg Initiative in December 2018.
My work has included development of:
- The BioScholar and NeuroScholar systems as prototypes of general purpose scientific knowledge management systems
- The Knowledge Engineering from Experimental Design (KEfED) methodology as a practical method for developing ontologies for complex, experimental biomedical data
- The Scientific Discourse Tagger (SciDT) system (in collaboration with Ed Hovy's group at CMU)
- The TechKnAcq tool for extracting reading lists from copora of scientific documents
- The NeuARt neuroanatomical data viewer
- The NIHMaps topic mapping system neuroanatomical data viewer
The SciKnowEngine 'swirl' logo represents the Cycle of Scientific Investigation as a group of combined threads that resembles a breaking ocean wave. The color scheme is derived from Van Gogh's Starry Night.