BIRDS-bridging the gap between information science, information retrieval and data science

Ingo Frommholz; Haiming Liu; Massimo Melucci

doi:10.1145/3397271.3401463

BIRDS-bridging the gap between information science, information retrieval and data science

Ingo Frommholz
, Haiming Liu
, Massimo Melucci

Institute for Research in Applicable Computing (IRAC)

University of Padua

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The BIRDS workshop aimed to foster the cross-fertilization of Information Science (IS), Information Retrieval (IR) and Data Science (DS). Recognising the commonalities and differences between these communities, the proposed full-day workshop brought together experts and researchers in IS, IR and DS to discuss how they can learn from each other to provide more user-driven data and infor-mation exploration and retrieval solutions. Therefore, the papers aimed to convey ideas on how to utilise, for instance, IS concepts and theories in DS and IR or DS approaches to support users in data and information exploration.

Original language	English
Title of host publication	nan
Publisher	Association for Computing Machinery, Inc
Pages	2455-2458
ISBN (Print)	9781450380164
DOIs	https://doi.org/10.1145/3397271.3401463
Publication status	Published - 30 Jul 2020
Event	43rd International ACM SIGIR Conference on Research and Development in Information Retrieval - Online Duration: 25 Jul 2020 → 30 Jul 2020

Conference

Conference	43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
City	Online
Period	25/07/20 → 30/07/20
Other	43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (25/07/2020-30/07/2020, Online)

Keywords

Fairness
Neural Networks
data science
information science
interpretability
statistical models
transparency

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https://dl.acm.org/doi/10.1145/3397271.3401463

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title = "BIRDS-bridging the gap between information science, information retrieval and data science",

abstract = "The BIRDS workshop aimed to foster the cross-fertilization of Information Science (IS), Information Retrieval (IR) and Data Science (DS). Recognising the commonalities and differences between these communities, the proposed full-day workshop brought together experts and researchers in IS, IR and DS to discuss how they can learn from each other to provide more user-driven data and infor-mation exploration and retrieval solutions. Therefore, the papers aimed to convey ideas on how to utilise, for instance, IS concepts and theories in DS and IR or DS approaches to support users in data and information exploration.",

keywords = "Fairness, Neural Networks, data science, information science, interpretability, statistical models, transparency",

author = "Ingo Frommholz and Haiming Liu and Massimo Melucci",

year = "2020",

month = jul,

day = "30",

doi = "10.1145/3397271.3401463",

language = "English",

isbn = "9781450380164",

pages = "2455--2458",

booktitle = "nan",

publisher = "Association for Computing Machinery, Inc",

note = "43rd International ACM SIGIR Conference on Research and Development in Information Retrieval ; Conference date: 25-07-2020 Through 30-07-2020",

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T1 - BIRDS-bridging the gap between information science, information retrieval and data science

AU - Frommholz, Ingo

AU - Liu, Haiming

AU - Melucci, Massimo

PY - 2020/7/30

Y1 - 2020/7/30

N2 - The BIRDS workshop aimed to foster the cross-fertilization of Information Science (IS), Information Retrieval (IR) and Data Science (DS). Recognising the commonalities and differences between these communities, the proposed full-day workshop brought together experts and researchers in IS, IR and DS to discuss how they can learn from each other to provide more user-driven data and infor-mation exploration and retrieval solutions. Therefore, the papers aimed to convey ideas on how to utilise, for instance, IS concepts and theories in DS and IR or DS approaches to support users in data and information exploration.

AB - The BIRDS workshop aimed to foster the cross-fertilization of Information Science (IS), Information Retrieval (IR) and Data Science (DS). Recognising the commonalities and differences between these communities, the proposed full-day workshop brought together experts and researchers in IS, IR and DS to discuss how they can learn from each other to provide more user-driven data and infor-mation exploration and retrieval solutions. Therefore, the papers aimed to convey ideas on how to utilise, for instance, IS concepts and theories in DS and IR or DS approaches to support users in data and information exploration.

KW - Fairness

KW - Neural Networks

KW - data science

KW - information science

KW - interpretability

KW - statistical models

KW - transparency

U2 - 10.1145/3397271.3401463

DO - 10.1145/3397271.3401463

M3 - Conference contribution

SN - 9781450380164

SP - 2455

EP - 2458

BT - nan

PB - Association for Computing Machinery, Inc

T2 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 25 July 2020 through 30 July 2020

ER -

BIRDS-bridging the gap between information science, information retrieval and data science

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Keywords

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