Enriching Query Routing Processes in PDMS with Semantic Information and Information Quality

Abstract. Query answering has been addressed as a key issue in dynamic distributed environments such as Peer Data Management Systems (PDMS). An important step in this process regards query routing, i.e., how to find peers (data sources) that are most likely to provide matching results according to the semantics of a submitted query. To help matters, we argue that semantic information like contextual information, combined with Information Quality (IQ) provided by IQ measures, may be employed together to enrich query routing processes. In this work, we propose an instantiation of a metamodel which combines both concepts as a means to produce semantic knowledge to be used in query routing processes. We also present an example of such instantiation.