The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …

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 …

Enriching the content of a digital library (DL) with additional information from other DLs and
domains would facilitate the scholarly communication, scientific findings, and knowledge …

This work aims at enriching author profiles with additional information to better support
search and retrieval of publications across different digital libraries. To achieve this objective …

The increase in the amount of structured data published on the Web using the principles of
Linked Data means that now it is more likely to find resources on the Web of Data that …

Data published on the web following the principles of linked data has resulted in a global
data space called the Web of Data. These principles led to semantically interlink and …

This paper presents a concept expansion strategy for Linked Open Data-enabled
recommender systems (LDRS). This strategy is based on annotations from Simple …

The era of digitalization is increasingly emphasizing the role of Digital Libraries (DL), by
increasing requirements and expectations of services provided by them. The interoperability …

Under big scholarly data, a longstanding challenge is to help researchers to find scientific
articles they would like. Current information retrieval and recommendation systems have …

Reference management software helps students and researchers to store and to cite
publications in different citing formats. Common features of reference management software …