2019/09/11 by Guillaume Cabanac, Cabanac, Guillaume, Ingo Frommholz +3
Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Quality and Management #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.1909.04954
openalex publication_date 2019/09/11 · openalex created_date 2023/01/03 · openalex updated_date 2026/07/28
The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeerx, DocEar) and the industry (e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar). This report presents the 8th iteration of the one-day BIR workshop held at ECIR 2019 in Cologne, Germany.