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The exponential increase in the usage of Wikipedia as a key source ofscientific knowledge among the researchers is making it absolutely necessary tometamorphose this knowledge repository into an integral and self-containedsource of information for direct utilization. Unfortunately, the referenceswhich support the content of each Wikipedia entity page, are far from complete.Why are the reference section ill-formed for most Wikipedia pages? Is thissection edited as frequently as the other sections of a page? Can there beappropriate surrogates that can automatically enhance the reference section? Inthis paper, we propose a novel two step approach -- WikiRef -- that (i)leverages the wikilinks present in a scientific Wikipedia target page and,thereby, (ii) recommends highly relevant references to be included in thattarget page appropriately and automatically borrowed from the reference sectionof the wikilinks. In the first step, we build a classifier to ascertain whethera wikilink is a potential source of reference or not. In the following step, werecommend references to the target page from the reference section of thewikilinks that are classified as potential sources of references in the firststep. We perform an extensive evaluation of our approach on datasets from twodifferent domains -- Computer Science and Physics. For Computer Science weachieve a notably good performance with a precision@1 of 0.44 for referencerecommendation as opposed to 0.38 obtained from the most competitive baseline.For the Physics dataset, we obtain a similar performance boost of 10% withrespect to the most competitive baseline.

WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages