We introduce KEYRY, a tool for translating keyword queries overstructured data sources into queries formulated in their native querylanguage. Since it is not based on analysis of the data sourcecontents, KEYRY finds application in scenarios where sourceshold complex and huge schemas, apt to frequent changes, such assources belonging to the linked open data cloud. KEYRY is basedon a probabilistic approach that provides the top-k results that betterapproximate the intended meaning of the user query.
Understanding linked open data through keyword searching: the KEYRY approach / Bergamaschi, Sonia; Guerra, Francesco; Rota, Silvia; Yannis, Velegrakis. - ELETTRONICO. - (2011), pp. 34-35. (Intervento presentato al convegno Linked Web Data Management tenutosi a Uppsala, Sweden nel 25 March 2011) [10.1145/1966901.1966912].
Understanding linked open data through keyword searching: the KEYRY approach
BERGAMASCHI, Sonia;GUERRA, Francesco;ROTA, SILVIA;
2011
Abstract
We introduce KEYRY, a tool for translating keyword queries overstructured data sources into queries formulated in their native querylanguage. Since it is not based on analysis of the data sourcecontents, KEYRY finds application in scenarios where sourceshold complex and huge schemas, apt to frequent changes, such assources belonging to the linked open data cloud. KEYRY is basedon a probabilistic approach that provides the top-k results that betterapproximate the intended meaning of the user query.
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