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Language technology...
Language technology for eGovernment - business cases
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- Henkel, Martin (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Perjons, Erik (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Sneiders, Eriks (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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Karlgren, Jussi (author)
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- Boye, Johan (author)
- KTH,Tal-kommunikation
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- 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.
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In: New Perspectives in Information Systems and Technologies, Volume 1. - Cham : Springer. - 9783319059501 ; , s. 83-95, s. 83-95
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- 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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