Language technology for eGovernment - business cases

Martin Henkel; Erik Perjons; Eriks Sneiders; Jussi Karlgren; Johan Boye; Anders Thelemyr

doi:10.1007/978-3-319-05951-8_9

Language technology for eGovernment - business cases

Martin Henkel
, Erik Perjons
, Eriks Sneiders
, Jussi Karlgren
, Johan Boye
, Anders Thelemyr

Stockholm University
Gavagai AB
KTH Royal Institute of Technology

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

5 Citations (Scopus)

Abstract

Language technologies and tools, such as text mining, information extraction, and question and answering systems, have been developed during many years. These technologies are becoming mature and should be ready for deployment in private and public organizations. However, little focus has been paid to how these technologies can be applied to tackle real-world problems within organizations. In this paper, we present a set of business cases where language technologies can have a significant impact on public organizations, including their business processes and services. We describe how each business case can influence the service quality, as seen from a consumer perspective, and the business processes efficiency, as seen from a public organizational perspective. The business cases are based on, and exemplified with, cases from large Swedish public organizations.

Original language	English
Title of host publication	New Perspectives in Information Systems and Technologies
Publisher	Springer Verlag
Pages	83-95
Number of pages	13
Edition	VOLUME 1
ISBN (Print)	9783319059501
DOIs	https://doi.org/10.1007/978-3-319-05951-8_9
Publication status	Published - 2014
Externally published	Yes
Event	2014 World Conference on Information Systems and Technologies, WorldCIST 2014 - Madeira, Portugal Duration: 15 Apr 2014 → 18 Apr 2014

Publication series

Name	Advances in Intelligent Systems and Computing
Number	VOLUME 1
Volume	275 AISC
ISSN (Print)	2194-5357

Conference

Conference	2014 World Conference on Information Systems and Technologies, WorldCIST 2014
Country/Territory	Portugal
City	Madeira
Period	15/04/14 → 18/04/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Business cases
Business intelligence
eGovernment
Information extraction
Language technology
Question and answering systems
Text mining

Access to Document

10.1007/978-3-319-05951-8_9

Cite this

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title = "Language technology for eGovernment - business cases",

abstract = "Language technologies and tools, such as text mining, information extraction, and question and answering systems, have been developed during many years. These technologies are becoming mature and should be ready for deployment in private and public organizations. However, little focus has been paid to how these technologies can be applied to tackle real-world problems within organizations. In this paper, we present a set of business cases where language technologies can have a significant impact on public organizations, including their business processes and services. We describe how each business case can influence the service quality, as seen from a consumer perspective, and the business processes efficiency, as seen from a public organizational perspective. The business cases are based on, and exemplified with, cases from large Swedish public organizations.",

keywords = "Business cases, Business intelligence, eGovernment, Information extraction, Language technology, Question and answering systems, Text mining",

author = "Martin Henkel and Erik Perjons and Eriks Sneiders and Jussi Karlgren and Johan Boye and Anders Thelemyr",

year = "2014",

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series = "Advances in Intelligent Systems and Computing",

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pages = "83--95",

booktitle = "New Perspectives in Information Systems and Technologies",

address = "Germany",

edition = "VOLUME 1",

note = "2014 World Conference on Information Systems and Technologies, WorldCIST 2014 ; Conference date: 15-04-2014 Through 18-04-2014",

}

Henkel, M, Perjons, E, Sneiders, E, Karlgren, J, Boye, J & Thelemyr, A 2014, Language technology for eGovernment - business cases. in New Perspectives in Information Systems and Technologies. VOLUME 1 edn, Advances in Intelligent Systems and Computing, no. VOLUME 1, vol. 275 AISC, Springer Verlag, pp. 83-95, 2014 World Conference on Information Systems and Technologies, WorldCIST 2014, Madeira, Portugal, 15/04/14. https://doi.org/10.1007/978-3-319-05951-8_9

Language technology for eGovernment - business cases. / Henkel, Martin; Perjons, Erik; Sneiders, Eriks et al.
New Perspectives in Information Systems and Technologies. VOLUME 1. ed. Springer Verlag, 2014. p. 83-95 (Advances in Intelligent Systems and Computing; Vol. 275 AISC, No. VOLUME 1).

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

TY - GEN

T1 - Language technology for eGovernment - business cases

AU - Henkel, Martin

AU - Perjons, Erik

AU - Sneiders, Eriks

AU - Karlgren, Jussi

AU - Boye, Johan

AU - Thelemyr, Anders

PY - 2014

Y1 - 2014

N2 - Language technologies and tools, such as text mining, information extraction, and question and answering systems, have been developed during many years. These technologies are becoming mature and should be ready for deployment in private and public organizations. However, little focus has been paid to how these technologies can be applied to tackle real-world problems within organizations. In this paper, we present a set of business cases where language technologies can have a significant impact on public organizations, including their business processes and services. We describe how each business case can influence the service quality, as seen from a consumer perspective, and the business processes efficiency, as seen from a public organizational perspective. The business cases are based on, and exemplified with, cases from large Swedish public organizations.

AB - Language technologies and tools, such as text mining, information extraction, and question and answering systems, have been developed during many years. These technologies are becoming mature and should be ready for deployment in private and public organizations. However, little focus has been paid to how these technologies can be applied to tackle real-world problems within organizations. In this paper, we present a set of business cases where language technologies can have a significant impact on public organizations, including their business processes and services. We describe how each business case can influence the service quality, as seen from a consumer perspective, and the business processes efficiency, as seen from a public organizational perspective. The business cases are based on, and exemplified with, cases from large Swedish public organizations.

KW - Business cases

KW - Business intelligence

KW - eGovernment

KW - Information extraction

KW - Language technology

KW - Question and answering systems

KW - Text mining

UR - https://www.scopus.com/pages/publications/84904695326

U2 - 10.1007/978-3-319-05951-8_9

DO - 10.1007/978-3-319-05951-8_9

M3 - Conference paper

AN - SCOPUS:84904695326

SN - 9783319059501

T3 - Advances in Intelligent Systems and Computing

SP - 83

EP - 95

BT - New Perspectives in Information Systems and Technologies

PB - Springer Verlag

T2 - 2014 World Conference on Information Systems and Technologies, WorldCIST 2014

Y2 - 15 April 2014 through 18 April 2014

ER -

Language technology for eGovernment - business cases

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this