IRDLOct 30, 2017

Bibliometric-Enhanced Information Retrieval: 5th International BIR Workshop

arXiv:1710.11231v1
Originality Synthesis-oriented
AI Analysis

It serves as an overview for researchers interested in IR applied to scientific data, but is incremental as it primarily summarizes existing work.

This paper introduces the Bibliometric-Enhanced Information Retrieval (BIR) workshop series, describing it as an annual gathering for researchers focusing on information retrieval tasks in scientific corpora and bibliometrics, and discusses selected papers from previous workshops.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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