Towards the development of an automated, Web-based, horizon scanning system

M.A. Palomino; T. Taylor; R. Owen

Towards the development of an automated, Web-based, horizon scanning system

M.A. Palomino
, T. Taylor
, R. Owen

University of Exeter

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

6 Citations (Scopus)

Abstract

Horizon scanning is an increasingly important part of management decision making in all sectors. It involves the systematic search for incipient trends, opportunities and constraints that might affect the probability of achieving management goals and objectives. This requires the continuous acquisition of up-to-date information to anticipate issues, collect data about them and thus inform critical decisions. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of electronic databases and Web-based information. In this paper, we propose the implementation of a horizon scanning system centred on the use of keyword-based, Web search engines. By leveraging the existing infrastructure of proven search engines, our system aims to automate the humanintensive process of seeking information and emerging trends. A prototype application that integrates the software that we plan to use has been developed to accompany this paper, and we discuss the potential for its application. © 2012 Polish Info Processing Socit.

Original language	English
Title of host publication	2012 Federated Conference on Computer Science and Information Systems
Subtitle of host publication	FedCSIS 2012
Publisher	IEEE Explore
Pages	1009-1016
Number of pages	8
ISBN (Print)	978-146730708-6
Publication status	Published - 12 Sept 2012
Externally published	Yes
Event	2012 Federated Conference on Computer Science and Information Systems: FedCSIS 2012 - Duration: 9 Sept 2012 → 12 Sept 2012

Conference

Conference	2012 Federated Conference on Computer Science and Information Systems
Period	9/09/12 → 12/09/12

Bibliographical note

The European Centre for the Environment and Human Health—part of the Peninsula College of Medicine and Dentistry which is a joint entity of the University of Exeter, the University of Plymouth and the NHS in the South West—is supported by investment from the European Regional Development Fund (ERDF) and European Social Fund (ESF) Convergence Programme for Cornwall and the Isles of Scilly.

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https://ieeexplore.ieee.org/document/6354363Licence: Unspecified

Cite this

Palomino, MA, Taylor, T & Owen, R 2012, Towards the development of an automated, Web-based, horizon scanning system. in 2012 Federated Conference on Computer Science and Information Systems: FedCSIS 2012., 6354363, IEEE Explore, pp. 1009-1016, 2012 Federated Conference on Computer Science and Information Systems, 9/09/12. <https://ieeexplore.ieee.org/document/6354363>

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title = "Towards the development of an automated, Web-based, horizon scanning system",

abstract = "Horizon scanning is an increasingly important part of management decision making in all sectors. It involves the systematic search for incipient trends, opportunities and constraints that might affect the probability of achieving management goals and objectives. This requires the continuous acquisition of up-to-date information to anticipate issues, collect data about them and thus inform critical decisions. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of electronic databases and Web-based information. In this paper, we propose the implementation of a horizon scanning system centred on the use of keyword-based, Web search engines. By leveraging the existing infrastructure of proven search engines, our system aims to automate the humanintensive process of seeking information and emerging trends. A prototype application that integrates the software that we plan to use has been developed to accompany this paper, and we discuss the potential for its application. {\textcopyright} 2012 Polish Info Processing Socit.",

author = "M.A. Palomino and T. Taylor and R. Owen",

note = "The European Centre for the Environment and Human Health—part of the Peninsula College of Medicine and Dentistry which is a joint entity of the University of Exeter, the University of Plymouth and the NHS in the South West—is supported by investment from the European Regional Development Fund (ERDF) and European Social Fund (ESF) Convergence Programme for Cornwall and the Isles of Scilly.; 2012 Federated Conference on Computer Science and Information Systems : FedCSIS 2012 ; Conference date: 09-09-2012 Through 12-09-2012",

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AU - Taylor, T.

AU - Owen, R.

N1 - The European Centre for the Environment and Human Health—part of the Peninsula College of Medicine and Dentistry which is a joint entity of the University of Exeter, the University of Plymouth and the NHS in the South West—is supported by investment from the European Regional Development Fund (ERDF) and European Social Fund (ESF) Convergence Programme for Cornwall and the Isles of Scilly.

PY - 2012/9/12

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N2 - Horizon scanning is an increasingly important part of management decision making in all sectors. It involves the systematic search for incipient trends, opportunities and constraints that might affect the probability of achieving management goals and objectives. This requires the continuous acquisition of up-to-date information to anticipate issues, collect data about them and thus inform critical decisions. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of electronic databases and Web-based information. In this paper, we propose the implementation of a horizon scanning system centred on the use of keyword-based, Web search engines. By leveraging the existing infrastructure of proven search engines, our system aims to automate the humanintensive process of seeking information and emerging trends. A prototype application that integrates the software that we plan to use has been developed to accompany this paper, and we discuss the potential for its application. © 2012 Polish Info Processing Socit.

AB - Horizon scanning is an increasingly important part of management decision making in all sectors. It involves the systematic search for incipient trends, opportunities and constraints that might affect the probability of achieving management goals and objectives. This requires the continuous acquisition of up-to-date information to anticipate issues, collect data about them and thus inform critical decisions. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of electronic databases and Web-based information. In this paper, we propose the implementation of a horizon scanning system centred on the use of keyword-based, Web search engines. By leveraging the existing infrastructure of proven search engines, our system aims to automate the humanintensive process of seeking information and emerging trends. A prototype application that integrates the software that we plan to use has been developed to accompany this paper, and we discuss the potential for its application. © 2012 Polish Info Processing Socit.

UR - https://www.scopus.com/pages/publications/84872505847

M3 - Published conference contribution

SN - 978-146730708-6

SP - 1009

EP - 1016

BT - 2012 Federated Conference on Computer Science and Information Systems

PB - IEEE Explore

T2 - 2012 Federated Conference on Computer Science and Information Systems

Y2 - 9 September 2012 through 12 September 2012

ER -

Towards the development of an automated, Web-based, horizon scanning system

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Bibliographical note

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