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Mostly, EF systems operate either via a content-based approach, which uses the text of the input as well as the text of the available experts\u2019 profiles to determine a match, and structure-based approaches, which use the inherent relationship between experts, affiliations, papers, etc. The underlying data representation is fundamentally different, which makes the methods mutually incompatible. However, previous work (Watanabe et al., 2005a) achieved good results by converting content-based data to a structure-representation and using a structure-based approach. The authors posit that the reverse may also hold merit, namely, a content-based approach leveraging structure-based data converted to a content-based representation. This paper compares the authors\u2019 idea to a content only-based approach, demonstrating that their method yields substantially better performance, and thereby substantiating their claim.<\/p>","DOI":"10.4018\/jissc.2011010104","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T15:36:42Z","timestamp":1297784202000},"page":"48-63","source":"Crossref","is-referenced-by-count":1,"title":["ELIxIR"],"prefix":"10.4018","volume":"2","author":[{"given":"Neil","family":"Rubens","sequence":"first","affiliation":[{"name":"University of Electro-Communications, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dain","family":"Kaplan","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toshio","family":"Okamoto","sequence":"additional","affiliation":[{"name":"University of Electro-Communications, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jissc.2011010104-0","doi-asserted-by":"crossref","unstructured":"Balog, K., Azzopardi, L., & de Rijke, M. 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