We present a framework for logic-based matchmaking on ALN ABoxes stored in a relational database. The proposed approach allows both non-standard reasoning and subsumption check be performed only via standard SQL queries. Main contribution is in the SQL implementation of the following features: (i) compliance with four match classes (i.e., exact, full, partial and potential); (ii) rank computation for each matching outcome and (iii) preferences management in the user query. Performance evaluation carried out on a PostgreSQL 8.4 engine reports reasonable results in terms of scalability and turnaround times for large scale data sets.
Reasoning in resource-constrained environments: a matchmaking engine over relational Knowledge Bases / Tinelli, Eufemia; Donini, Francesco M.; Ruta, Michele; Di Sciascio, Eugenio. - ELETTRONICO. - 745:(2011), pp. 576-586. (Intervento presentato al convegno 24th International Workshop on Description Logics, DL 2011 tenutosi a Barcelona, Spain nel July 2011).
Reasoning in resource-constrained environments: a matchmaking engine over relational Knowledge Bases
Eufemia Tinelli;Francesco M. Donini;Michele Ruta;Eugenio Di Sciascio
2011-01-01
Abstract
We present a framework for logic-based matchmaking on ALN ABoxes stored in a relational database. The proposed approach allows both non-standard reasoning and subsumption check be performed only via standard SQL queries. Main contribution is in the SQL implementation of the following features: (i) compliance with four match classes (i.e., exact, full, partial and potential); (ii) rank computation for each matching outcome and (iii) preferences management in the user query. Performance evaluation carried out on a PostgreSQL 8.4 engine reports reasonable results in terms of scalability and turnaround times for large scale data sets.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
