Expressivity and accuracy of by-example structured queries on Wikipedia
ATZORI, MAURIZIO;
2015-01-01
Abstract
This paper discusses expressivity and accuracy of the By-Example Structured (BESt) Query paradigm implemented on the SWiPE system through the Wikipedia interface. We define an experimental setting based on the natural language questions made available by the QALD-4 challenge, in which we compare SWiPE against Xser, a state-of-the-art Question Answering system, and plain keyword search provided by the Wikipedia Search Engine. The experiments show that SWiPE outperforms the results provided by Wikipedia, and it also performs sensibly better than Xser, obtaining an overall 85% of totally correct answers vs. 68% of Xser. Among all answered questions, we obtain a precision of 100% and recall 96%. SWiPE is also able to answer more questions than the other systems. A formal characterization of the set of SPARQL queries supported by the BESt Query paradigm is also provided.File | Size | Format | |
---|---|---|---|
wetice15 - Expressivity and Accuracy of By-Example.pdf Solo gestori archivio
Type: versione editoriale
Size 214.68 kB
Format Adobe PDF
|
214.68 kB | Adobe PDF | & nbsp; View / Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.