Semantic User Profiles: Learning Scholars' Competences by Analyzing their Publications


Title | Semantic User Profiles: Learning Scholars' Competences by Analyzing their Publications |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Sateli, B., F. Löffler, B. König-Ries, and R. Witte |
Refereed Designation | Refereed |
Editors | Gonzalez-Beltran, A., F. Osborne, and S. Peroni |
Conference Name | Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016) |
Volume | 9792 |
Date Published | 04/2016 |
Publisher | Springer International Publishing |
Conference Location | Montreal, QC, Canada |
Type of Work | Full paper |
Keywords | Linked Open Data, text mining, User Profiling |
Abstract | Semantic publishing generally targets the enhancement of scientific artifacts, such as articles and datasets, with semantic metadata. However, smarter scholarly applications also require a better model of their users, in order to understand their interests, tasks, and competences. These are generally captured in so-called user profiles. We investigate a number of existing linked open data (LOD) vocabularies and propose a description of scientists' competences in LOD format. To avoid the cold start problem, we suggest to automatically populate these profiles based on the publications (co-)authored by users, which we hypothesize reflect their research competences. Towards this end, we developed the first complete, automated workflow for generating semantic user profiles by analyzing full-text research articles through natural language processing. We evaluated our system with a user study on ten researchers from two different groups, resulting in mean average precision (MAP) of up to 92%. We also analyze the impact of semantic zoning of research articles on the accuracy of the resulting profiles. Finally, we demonstrate how these semantic user profiles can be applied in a number of use cases, including article ranking for personalized search and finding scientists competent in a topic — e.g., to find reviewers for a paper. |
DOI | 10.1007/978-3-319-53637-8_12 |
Copyright | Copyright © Springer 2016. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution. |
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