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Language technology for eGovernment - business cases

Henkel, Martin (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Perjons, Erik (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Sneiders, Eriks (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
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Karlgren, Jussi (author)
Boye, Johan (author)
KTH,Tal-kommunikation
Thelemyr, Anders (author)
Stockholms universitet,KTH,Tal-kommunikation,Institutionen för data- och systemvetenskap
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 (creator_code:org_t)
Cham : Springer, 2014
2014
English.
In: New Perspectives in Information Systems and Technologies, Volume 1. - Cham : Springer. - 9783319059501 ; , s. 83-95, s. 83-95
  • Conference paper (peer-reviewed)
Abstract Subject headings
Close  
  • 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.

Subject headings

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Kommunikationsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Communication Studies (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

Business cases
Business intelligence
eGovernment
Information extraction
Language technology
Question and answering systems
Text mining
Competitive intelligence
Data mining
Information retrieval
Information systems
Societies and institutions
Business case
Business Process
e-Government
Organizational perspectives
Public organizations
Real-world problem
Technology
Computer and Systems Sciences

Publication and Content Type

ref (subject category)
kon (subject category)

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