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. At ISI, this work was lead by Gully Burns, who joined the Chan Zuckerberg Initiative in December 2018. This page is left as an archival record of work performed at ISI.
Our 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.