Suchergebnisse

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.

The BIR workshop brings together experts of Bibliometrics and Information Retrieval. While sometimes perceived as rather loosely related, they share various interests and face similar challenges. Our motivation as organizers of the BIR workshop stemmed from a twofold observation. First, both communities are only partly overlapping albeit sharing various interests. Second, knowledge transfer would be profitable for both sides to tackle some of the emerging problems scholars face nowadays when they have to deal with identifying relevant and high quality literature among the very fast growing number of electronic publications available worldwide. Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, although they offer value-added effects for users. Information professionals working in libraries and archives, however, are increasingly confronted with applying bibliometric techniques in their services. The first workshop in 2014 set the research agenda by introducing each other state-of-the-art methods, reporting on current research problems, and brainstorming about common interests. The second workshop in 2015 continued the overall communication and reunification. This third BIR workshop continues to foster a common ground for the incorporation of bibliometric-enhanced services into scholarly search engine interfaces. In particular we address specific communities, as well as studies on large, cross-domain collections like Mendeley and ResearchGate. The third BIR workshop addresses scholarly and explicitly industrial researchers.

"In this paper we describe a case study where researchers in the social sciences (n=19) assess topical relevance for controlled search terms, journal names and author names which have been compiled by recommender services. We call these services Search Term Recommender (STR), Journal Name Recommender (JNR) and Author Name Recommender
(ANR) in this paper. The researchers in our study (practitioners, PhD students and postdocs) were asked to assess the top n preprocessed
recommendations from each recommender for specific research topics which have been named by them in an interview before the experiment. Our results show clearly that the presented search term, journal name and author name recommendations are highly relevant to the researchers topic and can easily be integrated for search in Digital Libraries. The average precision for top ranked recommendations is 0.749 for author names, 0.743 for search terms and 0.728 for journal names.
The relevance distribution differs largely across topics and researcher types. Practitioners seem to favor author name recommendations while postdocs have rated author name recommendations the lowest. In the experiment the small postdoc group favors journal name recommendations." (author's abstract)

The 12th iteration of the Bibliometric-enhanced Information Retrieval (BIR) workshop series is a full-day ECIR 2022 workshop. BIR tackles issues related to, for instance, academic search and recommendation, at the intersection of Information Retrieval, Natural Language Processing, and Bibliometrics. As an interdisciplinary scientific event, BIR brings together researchers and practitioners from the Scientometrics/Bibliometrics community on the one hand and the Information Retrieval community on the other hand. BIR is an ever-growing topic investigated by both academia and the industry.