Report on the 8th International Workshop on Bibliometric-Enhanced Information Retrieval (BIR 2019)

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.

[1]  Philipp Mayr,et al.  Editorial for the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) at SIGIR 2018 , 2018, BIRNDL@SIGIR.

[2]  Jöran Beel,et al.  The Architecture and Datasets of Docear's Research Paper Recommender System , 2014, D Lib Mag..

[3]  Iacopo Vagliano,et al.  Recommending Multimedia Educational Resources on the MOVING Platform , 2019, BIR@ECIR.

[4]  Adam Jatowt,et al.  Finding Temporal Trends of Scientific Concepts , 2019, BIR@ECIR.

[5]  Richard Van Noorden.  Google Scholar pioneer on search engine’s future , 2014 .

[6]  Renaud Fabre.  A "Searchable" Space with Routes for Querying Scientific Information , 2019, BIR@ECIR.

[7]  Alexander Shvets,et al.  Improving Scientific Article Visibility by Neural Title Simplification , 2019, BIR@ECIR.

[8]  Katherine W. McCain,et al.  Visualizing a discipline: an author co-citation analysis of information science, 1972–1995 , 1998 .

[9]  Philipp Mayr,et al.  Bibliometric-enhanced information retrieval: preface , 2018, Scientometrics.

[10]  A. Pritchard,et al.  Statistical bibliography or bibliometrics , 1969 .

[11]  W. Bruce Croft,et al.  How do Computer Scientists Use Google Scholar?: A Survey of User Interest in Elements on SERPs and Author Profile Pages , 2019, BIR@ECIR.

[12]  Philipp Mayr,et al.  Scientometrics and information retrieval: weak-links revitalized , 2014, Scientometrics.

[13]  Suzan Verberne,et al.  Citation Metrics for Legal Information Retrieval Systems , 2019, BIR@ECIR.

[14]  Gerard Salton,et al.  Associative Document Retrieval Techniques Using Bibliographic Information , 1963, JACM.

[15]  E GARFIELD,et al.  Citation indexes for science; a new dimension in documentation through association of ideas. , 2006, Science.

[16]  Philipp Mayr,et al.  Bibliometric-enhanced Information Retrieval , 2018, Scientometrics.

[17]  John Bohannon.  A computer program just ranked the most influential brain scientists of the modern era , 2016 .

[18]  Madian Khabsa,et al.  Scholarly big data information extraction and integration in the CiteSeerχ digital library , 2014, 2014 IEEE 30th International Conference on Data Engineering Workshops.

[19]  Yang Song,et al.  An Overview of Microsoft Academic Service (MAS) and Applications , 2015, WWW.

[20]  Min-Yen Kan,et al.  Insights from CL-SciSumm 2016: the faceted scientific document summarization Shared Task , 2017, International Journal on Digital Libraries.

[21]  Iana Atanassova,et al.  Beyond Metadata: the New Challenges in Mining Scientific Papers , 2019, BIR@ECIR.

[22]  Davide Castelvecchi,et al.  Google unveils search engine for open data , 2018, Nature.

[23]  Philipp Mayr,et al.  Report on the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) , 2018, SIGIR Forum.

[24]  Jean-Charles Lamirel,et al.  Feature Selection and Graph Representation for an Analysis of Science Fields Evolution: An Application to the Digital Library ISTEX , 2015, BIR@ECIR.

[25]  Werner Marx,et al.  Discovering seminal works with marker papers , 2019, Scientometrics.

[26]  Birger Larsen,et al.  Optimal Citation Context Window Sizes for Biomedical Retrieval , 2019, BIR@ECIR.

[27]  Dietmar Wolfram,et al.  Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL) , 2017, International Journal on Digital Libraries.

[28]  Jie Tang,et al.  ArnetMiner: extraction and mining of academic social networks , 2008, KDD.

[29]  Eugene Garfield,et al.  Patent Citation Indexing and the Notions of Novelty, Similarity, and Relevance. , 1966 .

[30]  Vikram Pudi,et al.  Mining Intellectual Influence Associations , 2019, BIR@ECIR.

[31]  Marc Bertin,et al.  A Preliminary Study to Compare Deep Learning with Rule-based Approaches for Citation Classification , 2019, BIR@ECIR.

[32]  Michael Färber,et al.  Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks , 2019, BIR@ECIR.

[33]  Ludo Waltman,et al.  An Interactive Visual Tool for Scientific Literature Search: Proposal and Algorithmic Specification , 2019, BIR@ECIR.

[34]  David Shotton,et al.  Funders should mandate open citations , 2018, Nature.