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Knowledge machines

Knowledge machines
Knowledge machines
The World Wide Web has had a notable impact on a variety of epistemically-relevant activities, many of which lie at the heart of the discipline of knowledge engineering. Systems like Wikipedia, for example, have altered our views regarding the acquisition of knowledge, while citizen science systems such as Galaxy Zoo have arguably transformed our approach to knowledge discovery. Other Web-based systems have highlighted the ways in which the human social environment can be used to support the development of intelligent systems, either by contributing to the provision of epistemic resources or by helping to shape the profile of machine learning. In the present paper, such systems are referred to as 'knowledge machines'. In addition to providing an overview of the knowledge machine concept, the present paper reviews a number of issues that are associated with the scientific and philosophical study of knowledge machines. These include the potential impact of knowledge machines on the theory and practice of knowledge engineering, the role of social participation in the realization of intelligent systems, and the role of standardized, semantically-enriched data formats in supporting the ad hoc assembly of special-purpose knowledge systems and knowledge processing pipelines.
Social Machines, Knowledge Engineering, Semantic Web, Citizen Science, World Wide Web, Social Computing
0269-8889
Smart, Paul
cd8a3dbf-d963-4009-80fb-76ecc93579df
Smart, Paul
cd8a3dbf-d963-4009-80fb-76ecc93579df

Smart, Paul (2018) Knowledge machines. The Knowledge Engineering Review, 33, [e11]. (doi:10.1017/s0269888918000139).

Record type: Article

Abstract

The World Wide Web has had a notable impact on a variety of epistemically-relevant activities, many of which lie at the heart of the discipline of knowledge engineering. Systems like Wikipedia, for example, have altered our views regarding the acquisition of knowledge, while citizen science systems such as Galaxy Zoo have arguably transformed our approach to knowledge discovery. Other Web-based systems have highlighted the ways in which the human social environment can be used to support the development of intelligent systems, either by contributing to the provision of epistemic resources or by helping to shape the profile of machine learning. In the present paper, such systems are referred to as 'knowledge machines'. In addition to providing an overview of the knowledge machine concept, the present paper reviews a number of issues that are associated with the scientific and philosophical study of knowledge machines. These include the potential impact of knowledge machines on the theory and practice of knowledge engineering, the role of social participation in the realization of intelligent systems, and the role of standardized, semantically-enriched data formats in supporting the ad hoc assembly of special-purpose knowledge systems and knowledge processing pipelines.

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Knowledge Machines - Author's Original
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Accepted/In Press date: 14 October 2017
e-pub ahead of print date: 15 August 2018
Keywords: Social Machines, Knowledge Engineering, Semantic Web, Citizen Science, World Wide Web, Social Computing

Identifiers

Local EPrints ID: 415666
URI: http://eprints.soton.ac.uk/id/eprint/415666
ISSN: 0269-8889
PURE UUID: d8d09d3a-6ee5-4c2e-b608-602553c37575
ORCID for Paul Smart: ORCID iD orcid.org/0000-0001-9989-5307

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Date deposited: 17 Nov 2017 17:30
Last modified: 16 Mar 2024 03:31

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Author: Paul Smart ORCID iD

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