(Re)Configuration Using Web Data: A Case Study on the Reviewer Assignment Problem
Constraint-based configuration is – on the one hand – one of the classical problem domains in AI and also in industrial practice. Additional problems arise, when configuration objects come from an open environment such as the Web, or in case of a reconfiguration. On the other hand, (re)configuration is a reasoning task very much ignored in the current (Semantic) Web reasoning literature, despite (i) the increased availability of structured data on the Web, particularly due to movements such as the Semantic Web and Linked Data, (ii) numerous practically relevant tasks in terms of using Web data involve (re)configuration. To bridge these gaps, we discuss the challenges and possible approaches for reconfiguration in an open Web environment, based on a practical use case leveraging Linked Data as a “component catalog” for configuration. In this paper, we present techniques to enhance existing review management systems with (re)configuration facilities and provide a practical evaluation.
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