Organizing Tagged Knowledge: Similarity Measures and Semantic Fluency in Structure Mining.

ABSTRACT: Recovering a system's underlying structure from its historical records (also called structure mining) is essential to making valid inferences about that system's behavior. For example, making reliable predictions about system failures based on maintenance work-order data requires determining how concepts described within the work order are related. Obtaining such structural information is challenging, requiring system understanding, synthesis, and representation design. This is often either too difficult or too time-consuming to produce. Consequently, a common approach to quickly eliciting tacit structural knowledge from experts is to gather uncontrolled keywords as record labels-i.e., "tags." One can then map those tags to concepts within the structure and quantitatively infer relationshi

SUBMITTER: Sexton T 

PROVIDER: S-EPMC7890696 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature