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

摘要: 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 recommender systems Data-enabled have been conducted, no previous attempt has undertaken to explore opportunities of LOD in the context search discovery interfaces. We identify central advantages with regard scientific propose two novel recommendation strategies, namely flexible similarity detection constraint-based recommendations. These strategies take advantage key characteristics data that adheres principles. The viability was extensively evaluated scope a web-based user experiment domain economics. Findings indicate proposed methods are well suited enhance established functionalities thus offering ways resource access. In addition that, RDF triples from repositories complement local bibliographic records sparse or poor quality.