Bibliometric-Enhanced Information Retrieval: 5th International BIR Workshop

被引：0

作者：

Mayr, Philipp ^{[1
]}

Frommholz, Ingo ^{[2
]}

Cabanac, Guillaume ^{[3
]}

机构：

[1] GESIS Leibniz Inst Social Sci, Cologne, Germany

[2] Univ Bedfordshire, Inst Res Applicable Comp, Luton, Beds, England

[3] Univ Toulouse, IRIT UMR 5505, Dept Comp Sci, Toulouse, France

来源：

ADVANCES IN INFORMATION RETRIEVAL, ECIR 2017 | 2017年 / 10193卷

关键词：

Bibliometrics; Scientometrics; Informetrics; Information retrieval; Digital libraries; SEARCH; LEVEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Bibliometric-enhanced Information Retrieval (BIR) workshops serve as the annual gathering of IR researchers who address various information-related tasks on scientific corpora and bibliometrics. The workshop features original approaches to search, browse, and discover value-added knowledge from scientific documents and related information networks (e.g., terms, authors, institutions, references). We welcome contributions elaborating on dedicated IR systems, as well as studies revealing original characteristics on how scientific knowledge is created, communicated, and used. In this paper we introduce the BIR workshop series and discuss some selected papers presented at previous BIR workshops.

引用

页码：784 / 789

页数：6

共 23 条

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