We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...
Abstract--Worldwide health scientists are producing, accessing, analyzing, integrating, and storing massive amounts of digital medical data daily, through observation, experimentat...
Jingshan Huang, Dejing Dou, Lei He, Pat Hayes, Jia...
Background: Current efforts within the biomedical ontology community focus on achieving interoperability between various biomedical ontologies that cover a range of diverse domain...
Robert Hoehndorf, Frank Loebe, Janet Kelso, Heinri...
Discovering related concepts in a multi-agent system among agents with diverse ontologies is difficult using existing knowledge representation languages and approaches. We describ...