Abstract
Author name ambiguity represents a real obstacle in the world of digital library (DL) information retrieval. The search with an author’s name almost always casts doubt on whether all publications in the result list belong to that author or another author sharing the same name. In several other cases, the scholar is interested in having additional information about a selected author, such as a short biography, affiliations, metrics, or co-relations with other authors. The main purpose of this work is the integration and usage of diverse data, based on Linked Data approaches and authority records, to create a comprehensive author profile inside a DL. We are proposing and deploying an approach that provides such author profiles by using the available data, on-the-fly, i.e., harvesting the available sources for this purpose. The proposed approach - developed as a fully functional prototype - has been introduced for evaluation to a group of authors, scholars, and librarians. The results indicate acceptance of such an approach, underlining the benefits and limitations that come with it.
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Hajra, A., Pianos, T., Tochtermann, K. (2021). Linking Author Information: EconBiz Author Profiles. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_18
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