=Paper=
{{Paper
|id=Vol-2863/paper-01
|storemode=property
|title=Preface to the 2nd Workshop on Bridging the Gap between Information Science, Information
Retrieval and Data Science
|pdfUrl=https://ceur-ws.org/Vol-2863/paper-01.pdf
|volume=Vol-2863
|authors=Ingo Frommholz,Haiming Liu,Massimo Melucci
|dblpUrl=https://dblp.org/rec/conf/chiir/Frommholz0M21a
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==Preface to the 2nd Workshop on Bridging the Gap between Information Science, Information
Retrieval and Data Science==
https://ceur-ws.org/Vol-2863/paper-01.pdf
Preface to the 2nd Workshop on Bridging the Gap
between Information Science, Information Retrieval
and Data Science
Ingo Frommholz1 , Haiming Liu2 and Massimo Melucci3
1
School of Mathematics and Computer Science, University of Wolverhampton, UK
2
School of Computer Science and Technology, University of Bedfordshire, Luton, UK
3
Dipartimento di Ingegneria dell’Informazione, University of Padua, Italy
Abstract
BIRDS 2021 is the second in a series of workshops to bridge the gap between Information Science,
Information Retrieval and Data Science. It was held in conjunction with CHIIR 2021 and consisted of a
selection of accepted papers and invited talks.
1. Introduction
Can Data Science, Information Science, Information Retrieval and Human-Computer Interaction
get together and learn from each other? While research is often conducted in silos, i.e. within a
community, the aim of the BIRDS (Bridging the Gap between Information Science, Information
Retrieval and Data Science) workshop it to bring together these different communities. The
idea was born from the observations the workshop organisers made as part of the Information
Retrieval (IR) community, where over the last decades user- and system-oriented approaches
started to meld [1]. With the emergence of more data-driven methods, in particular, in the
era of deep and machine learning with all its potential biases and the need for transparency,
as well as the data scientists’ aim to explore, find, combine and make sense of all sorts of
heterogeneous internal and external data (be it textual or multimedia, unstructured data, data
streams or structured database entries), one idea is to broaden the scope of classical IR and its
user- and system-oriented methods, often rooted in Information Science and Human-Computer
Interaction, to broader Data Science concepts.
BIRDS 2021: Bridging the Gap between Information Science, Information Retrieval and Data Science, March 19, 2021,
online
" ifrommholz@acm.org (I. Frommholz); haiming.liu@beds.ac.uk (H. Liu); massimo.melucci@unipd.it
(M. Melucci)
~ http://www.frommholz.org/ (I. Frommholz); https://sites.google.com/view/haimingliu/ (H. Liu);
https://www.dei.unipd.it/~melo/ (M. Melucci)
0000-0002-5622-5132 (I. Frommholz); 0000-0002-0390-3657 (H. Liu)
© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
1
2. Accepted Papers and Invited Talks
BIRDS 2021, which was held online at CHIIR 2021, is the second in a series of workshops, after
BIRDS 2020 at SIGIR [2]. It consisted of invited talks as well as peer-reviewed, accepted papers.
6 papers were accepted which are featured in these proceedings:
• Ghadeer Abuoda, Chad Hendrix and Stuart Campo: Automatic Tag Recommendation for
the UN Humanitarian Data Exchange;
• Nicholas Collis and Ingo Frommholz: AQUACOLD: A Novel Crowdsourced Linked Data
Question Answering System;
• Mahmoud Artemi and Haiming Liu: A User Study on User’s Attention for an Interactive
Content-based Image Search System;
• Morshed Adnan, Michael Alexander Kaufmann and Matthias Hemmje: Social Media
Mining to Study Social User Groups by Visualizing Tweet Clusters using Word2Vec, PCA
and K-Means;
• Stefan Wagenpfeil et al.: Query Construction and Result Representation based on Graph
Codes and
• Thoralf Reis et al.: Towards Modeling AI-based User Empowerment for Visual Big Data
Analysis.
The invited talks were as follows:
• User Discovery and Exploration in Future Digital Libraries by Ed Fox, Virginia Tech, USA;
• Searching, fast and slow by Tony Russell-Rose, 2Dsearch and Goldsmiths, University of
London, UK;
• Data Science and Information Access for Social Research on Technoscientific Issues in the
Media by Emanuele Di Buccio, University of Padua, Italy;
• Understanding and solving the complex IIR challenges of searching enterprise content by
Martin White, Intranet Focus Ltd and University of Sheffield, UK;
• Exploiting clinical data to build patients trajectories by Lorraine Goeuriot, Univ. Grenoble
Alpes, France;
• Querying by Example Using Bootstrapped Explainable Text Categorization in Emergent
Knowledge-Domains Tobias Eljasik-Swoboda, Fernuniversität Hagen, Germany and
• Design of use case diagrams, personas and GUIs based on the CRISP4BigData process / Con-
ceptual Design and Implementation of a graphical user interface for CRISP4BigData by
Kevin Berwind, Fernuniversität Hagen, Germany.
More information can be found on the BIRDS Web site1 . Selected presentations were recorded
and can be viewed on the BIRDS 2021 YouTube playlist2 .
1
https://birds-ws.github.io/birds2021/index.html
2
https://www.youtube.com/playlist?list=PLI13W1gRqqf1v_gEucOYT049daq16IaQ2
2
References
[1] P. Ingwersen, K. Järvelin, The turn: integration of information seeking and retrieval in
context, Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2005.
[2] I. Frommholz, H. Liu, M. Melucci (Eds.), Proceedings of the First Workshop on Bridging
the Gap between Information Science, Information Retrieval and Data Science (BIRDS
2020) (BIRDS), number 2741 in CEUR Workshop Proceedings, Aachen, 2020. URL: http:
//ceur-ws.org/Vol-2741/.
3