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International Journal on Digital Libraries

Erschienen in:

19.07.2017

Retrieval by recommendation: using LOD technologies to improve digital library search

verfasst von: Lisa Wenige, Johannes Ruhland

Erschienen in: International Journal on Digital Libraries | Ausgabe 2-3/2018

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Abstract

This paper investigates how Linked Open Data (LOD) can be used for recommendations and information retrieval within digital libraries. While numerous studies on both research paper recommender systems and Linked Data-enabled recommender systems have been conducted, no previous attempt has been undertaken to explore opportunities of LOD in the context of search and discovery interfaces. We identify central advantages of Linked Open Data with regard to scientific search and propose two novel recommendation strategies, namely flexible similarity detection and constraint-based recommendations. These strategies take advantage of key characteristics of data that adheres to LOD principles. The viability of Linked Data recommendations was extensively evaluated within the scope of a web-based user experiment in the domain of economics. Findings indicate that the proposed methods are well suited to enhance established search functionalities and are thus offering novel ways of resource access. In addition to that, RDF triples from LOD repositories can complement local bibliographic records that are sparse or of poor quality.

Vorheriger Artikel Investigating exploratory search activities based on the stratagem level in digital libraries

Nächster Artikel Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents

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Titel: Retrieval by recommendation: using LOD technologies to improve digital library search
verfasst von: Lisa Wenige
Johannes Ruhland
Publikationsdatum: 19.07.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal on Digital Libraries / Ausgabe 2-3/2018
Print ISSN: 1432-5012
Elektronische ISSN: 1432-1300
DOI: https://doi.org/10.1007/s00799-017-0224-8

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