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Bibliometric-enhanced information retrieval

Abstract : The special issue on Bibliometric-enhanced Information Retrieval presents works at the crossroad between Bibliometrics and Information Retrieval, two domains closely related on the map of Information Science.This special issue eventually includes eight papers: three are extended papers presented at BIR and five are extended papers presented at BIRNDL. It covers a variety of topics including: Authorship identification and writing style analysis (Rexha et al. 2018); Locality sensitive hashing to measure the overlap bibliographic databases for paper indexing (Abdulhayoglu and Thijs 2018); Automatic discovery of cross-topic collaborations (Cagliero et al. 2018); Identification of problems and their solutions in scientific articles (Heffernan and Teufel 2018); Accurate identification of cited text spans (e.g., to generate summaries) (Ma et al. 2018); Detection of automatically generated sentences and texts within genuinely written papers (Tien and Labbé 2018); Citance-based retrieval and summarization using Information Retrieval and Machine Learning (Karimi et al. 2018); Analysis of search stratagems for interactive information retrieval in bibliographic databases (Kacem and Mayr 2018).
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https://hal.archives-ouvertes.fr/hal-02982579
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Submitted on : Wednesday, October 28, 2020 - 4:41:11 PM
Last modification on : Wednesday, October 27, 2021 - 5:58:56 AM

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Guillaume Cabanac, Ingo Frommholz, Philipp Mayr. Bibliometric-enhanced information retrieval. Cabanac; Guillaume and Frommholz; Ingo and Mayr; Philipp. Springer, 116 (2), 2018, Scientometrics, special issue, ⟨10.1007/s11192-018-2861-0⟩. ⟨hal-02982579⟩

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