Semantic measures as information quality criteria for query routing processes Online publication date: Sat, 28-Jun-2014
by Crishane Freire; Bruno F.F. Souza; Ana Carolina Salgado; Damires Souza; Maria C.M. Batista
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 8, No. 2, 2013
Abstract: Query answering has been addressed as a key issue in 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 results according to the submitted query. In this process, queries are reformulated and propagated through network peers using the semantic mappings between neighbour peers' schemas. The successive processes of query reformulation may result in a semantic loss of the original query, i.e., concepts which belong to the original query may be lost when reformulated queries are produced. Thereby, this work proposes the use of semantic measures obtained from information quality (IQ) criteria aiming to avoid or minimise this semantic loss. Moreover, it combines semantic information and IQ, by presenting a model, which is instantiated to illustrate how this proposal produces the semantic measures and enhances query routing processes.
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