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Capturing the semiotic relationship between terms

Capturing the semiotic relationship between terms
Capturing the semiotic relationship between terms
Tags describing objects on the web are often treated as facts about a resource, whereas it is quite possible that they represent more subjective observations. Existing methods of term expansion expand terms based on dictionary definitions or statistical information on term occurrence. Here we propose the use of a thematic model for term expansion based on semiotic relationships between terms, this has been shown to improve a system's thematic understanding of content and tags and to tease out the more subjective implications of those tags. Such a system relies on a thematic model that must be made by hand. In this article we explore a method to capture a semiotic understanding of particular terms using a rule-based guide to authoring a thematic model. Experimentation shows that it is possible to capture valid definitions that can be used for semiotic term expansion but that the guide itself may not be sufficient to support this on a large scale. We argue that whilst the formation of super definitions will mitigate some of these problems, the development of an authoring support tool may be necessary to solve others.
71-84
Hargood, Charlie
9c24b7b0-ee48-41ba-9868-5b97b804f7d3
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Hargood, Charlie
9c24b7b0-ee48-41ba-9868-5b97b804f7d3
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4

Hargood, Charlie, Millard, David and Weal, Mark (2010) Capturing the semiotic relationship between terms. New Review of Hypermedia and Multimedia, 16, 71-84.

Record type: Article

Abstract

Tags describing objects on the web are often treated as facts about a resource, whereas it is quite possible that they represent more subjective observations. Existing methods of term expansion expand terms based on dictionary definitions or statistical information on term occurrence. Here we propose the use of a thematic model for term expansion based on semiotic relationships between terms, this has been shown to improve a system's thematic understanding of content and tags and to tease out the more subjective implications of those tags. Such a system relies on a thematic model that must be made by hand. In this article we explore a method to capture a semiotic understanding of particular terms using a rule-based guide to authoring a thematic model. Experimentation shows that it is possible to capture valid definitions that can be used for semiotic term expansion but that the guide itself may not be sufficient to support this on a large scale. We argue that whilst the formation of super definitions will mitigate some of these problems, the development of an authoring support tool may be necessary to solve others.

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More information

Published date: April 2010
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 271492
URI: https://eprints.soton.ac.uk/id/eprint/271492
PURE UUID: e33313df-8420-4a4d-af7f-b82a7bc67b3e
ORCID for David Millard: ORCID iD orcid.org/0000-0002-7512-2710
ORCID for Mark Weal: ORCID iD orcid.org/0000-0001-6251-8786

Catalogue record

Date deposited: 19 Aug 2010 13:13
Last modified: 20 Jul 2019 01:21

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Contributors

Author: Charlie Hargood
Author: David Millard ORCID iD
Author: Mark Weal ORCID iD

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