Using Argumentation to Support the User Involvement In Data Cleaning
作者： Helena Galhardas , Emanuel Santos
DOI:
关键词: Reliability (computer networking) 、 Process (engineering) 、 Argumentation theory 、 Argumentation framework 、 Construct (python library) 、 Data mining 、 User involvement 、 Computer science 、 Information retrieval 、 Consistency (database systems) 、 Context (language use)
摘要: Data cleaning processes are usually modeled as graphs of data transformations. The involvement the users is important to manually correct items that cannot be treated automatically. However, in context an iterative process and multiple user involvement, feedback can contradictory. In this paper, we propose use Argumentation support by determining which corrections should applied during process. First, introduce notion based manual repair instance represent way provide required clean their corresponding justication. Second, construct argumentation framework acceptability criteria determine instances on consistency reliability.
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