|10:00||Organizers||Introduction Editorial Slides|
|10:15||Joeran Beel (Keynote)||Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them Paper Slides|
|11:15||Jason Rollins, Meredith McCusker, Joel Carlson and Jon Stroll||Manuscript Matcher: A Content and Bibliometrics-based Scholarly Journal Recommendation System Paper Slides|
|11:45||Mehmet Ali Abdulhayoglu and Bart Thijs||Use of Locality Sensitive Hashing (LSH) Algorithm to Match Web of Science and SCOPUS Paper Slides|
|13:30||Xinyi Li and Maarten de Rijke||Academic Search in Response to Major Scientific Events Paper Slides|
|14:00||Felix Beierle, Akiko Aizawa and Joeran Beel||Exploring Choice Overload in Related-Article Recommendations in Digital Libraries Paper Slides|
|14.30-15.30||Poster session and Break|
|Stefan Langer and Joeran Beel||Apache Lucene as Content-Based-Filtering Recommender System: 3 Lessons Learned Paper Poster|
|Andi Rexha, Mark Kröll, Hermann Ziak and Roman Kern||Extending Scientific Literature Search by Including the Author’s Writing Style Paper Poster|
|Bart Thijs||Drakkar: a graph based All-Nearest Neighbour Search Algorithm for Bibliographic Coupling Paper Poster|
|Sophie Siebert, Siddarth Dinesh and Stefan Feyer||Extending a Research Paper Recommendation System with Bibliometric Measures Paper Poster|
|Shenghui Wang and Rob Koopman||Semantic Embedding for Information Retrieval Paper Poster|
|15:30||Min-Gwan Seo, Seokwoo Jung, Kyung-min Kim and Sung-Hyon Myaeng||Computing Interdisciplinarity of Scholarly Objects using an Author-Citation-Text Model Paper Slides|
|16:00||Nguyen Minh Tien and Cyril Labbé||Detecting Automatically Generated Sentences with Grammatical Structure Similarity Paper Slides|
|17:00||End of workshop|
You are invited to participate in the upcoming 5th workshop on Bibliometric-enhanced Information Retrieval (BIR), to be held as part of the 39th European Conference on Information Retrieval (ECIR). http://ecir2017.org/
Bibliometric techniques are not yet widely used to enhance retrieval processes in search systems, although they offer value-added effects for users. In this workshop we will explore how statistical modelling of scholarship, such as Bradfordizing or network analysis of coauthorship network, or simple citation graphs, can improve retrieval services for specific communities, as well as for large, cross-domain collections like Mendeley. This workshop aims to raise awareness of the missing link between Information Retrieval (IR) and bibliometrics/scientometrics and to create a common ground for the incorporation of bibliometric-enhanced services into retrieval at the scholarly search engine interface.
See proceedings of the former BIR workshops at ECIR 2014 <http://ceur-ws.org/Vol-1143/>, ECIR 2015 <http://ceur-ws.org/Vol-1344/>, ECIR 2016 <http://ceur-ws.org/Vol-1567/>, JCDL 2016 <http://ceur-ws.org/Vol-1610/>.
In this 5th workshop we aim to engage with the IR community about possible links to bibliometrics and complex network theory which also explores networks of scholarly communication. Bibliometric techniques are not yet widely used to enhance retrieval processes, yet they offer value-added effects for users. Our interests include information retrieval, information seeking, science modelling, network analysis, and natural language processing. The goal is to apply insights from bibliometrics, scientometrics, and informetrics to concrete practical problems of information retrieval and browsing.
Retrieval evaluations have shown that simple text-based retrieval methods scale up well but do not progress. Traditional retrieval has reached a high level in terms of measures like precision and recall, but scientists and scholars still face challenges present since the early days of digital libraries: mismatches between search terms and indexing terms, overload from result sets that are too large and complex, and the drawbacks of text-based relevance rankings. Therefore we will focus on statistical modelling and corresponding visualizations of the evolving science system. Such analyses have revealed not only the fundamental laws of Bradford and Lotka, but also network structures and dynamic mechanisms in scientific production. Statistical models of scholarly activities are increasingly used to evaluate specialties, to forecast and discover research trends, and to shape science policy. Their use as tools in navigating scientific information in search systems is a promising but still relatively new development. We will explore how statistical modelling of scholarship can improve retrieval services for specific communities, as well as for large, cross-domain collections. Some of these techniques are already used in working systems but not well integrated in larger scholarly IR environments.
The availability of new IR test collections that contain citation and bibliographic information like the iSearch collection or the ACL collection could deliver enough ground to interest (again) the IR community in these kind of bibliographic systems. The long-term research goal is to develop and evaluate new approaches based on informetrics and bibliometrics.
The aim of this workshop is to bring together researchers and practitioners from different domains, such as information retrieval, information seeking, science modelling, bibliometrics, scientometrics, network analysis, natural language processing, digital libraries, and approaches to visualize search and retrieval to move toward a deeper understanding of this research challenge.
To support the previously described goals the workshop topics include (but are not limited to) the following:
We especially invite descriptions of running projects and ongoing work. Papers that investigate multiple themes directly are especially welcome.
All submissions must be written in English following Springer LNCS author guidelines (6 to 12 pages) and should be submitted as PDF files to EasyChair. All submissions will be reviewed by at least two independent reviewers. Please be aware of the fact that at least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program.
Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - This way the proceedings will be permanently available and citable (digital persistent identifiers and long term preservation).
Call for Papers: Special Issue on "Bibliometric-enhanced IR"
Authors of accepted papers are invited to submit extended versions to a Special Issue on “Bibliometric-enhanced IR” to be published in the journal Scientometrics.
This call for papers is moreover open for other authors which have not attended the workshop but working on “Bibliometric-enhanced IR” topics (see list of topics above). Before submitting, authors need to consult the "Authors instructions" page on the Springer website. For any question please contact the workshop organizers (main contact: philipp.mayr(at)gesis(dot)org).
|Preliminary timeline of the Special Issue||Deadline|
|Paper submission deadline||June 30, 2017|
|First notification||July 30, 2017|
|Revision submission||August 30, 2017|
|Second notification||September 30, 2017|
|Final version submission||October 30, 2017|
This workshop is also informed by an ongoing COST Action TD1210 KnowEscape.