Editorial: Linked Open Bibliographic Data for Real-time Research Assessment

Abstract

So far, research evaluation has been very important as a means for deciding academic tenure, awarding research grants, tracking the evolution of scholarly institutions, and assessing doctoral students (King, 1987). However, this effort has been limited by the lack of findability and accessibility of bibliographic databases allowing such an assessment and the legal and financial burdens toward their reuse (Herther, 2009). By the Internet age, scholarly publications became issued online in an electronic format allowing the extraction of accurate bibliographic information from them (Borgman, 2008) as well as the tracking of their readership, download, sharing, and search patterns (Markscheffel, 2013). Online resources called bibliographic knowledge graphs have consequently appeared, providing free bibliographic data and usage statistics for scholarly publications (Markscheffel, 2013).

Mohamed Ben Aouicha
Mohamed Ben Aouicha
Associate professor

My research interests concern information retrieval, semantic technologies, social media analytics, knowledge representation, Big Data and graph embedding.

Houcemeddine Turki
Houcemeddine Turki
Medical student

My research interests include the development of a large-scale framework for using open resources and semantic technologies for driving biomedical informatics and research evaluation at a low cost.

Mohamed Ali Hadj Taieb
Mohamed Ali Hadj Taieb
Assistant professor

My research interests include semantic similarity, semantic relatedness, knowledge representation, Big Data, social media, data management systems and graph embedding.