Advisory services for user composition tools

Autor: Lars Fiedler, Kevin K. Nam, R. Taylor Locke, Kimberlee Chestnut Chang, Sarah Yenson
Rok vydání: 2015
Předmět:
Zdroj: ICSC
DOI: 10.1109/icosc.2015.7050772
Popis: We have developed an ontology based framework that evaluates compatibility between processing modules within an end user development framework, using MIT Lincoln Laboratory's Composable Analytics environment [1] as a test case. In particular, we focus on inter-module semantic compatibility as well as compatibility between data and modules. Our framework includes a core ontology that provides an extendible vocabulary that can describe module attributes, module input and output requirements and preferences, and data characteristics that are pertinent to selecting appropriate modules in a given situation.
Databáze: OpenAIRE