Emergent ontology discovered from folksonomies

Wu, Feng (2015) Emergent ontology discovered from folksonomies. Masters thesis, Memorial University of Newfoundland.

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Abstract

Collaborative tagging websites or systems allow users to associate freely-determined keywords (tags) with a particular resource. The collection of users’ tags and resources is referred to as a folksonomy. Unlike traditional forms of metadata, the meaning of, and relationships between, tags are not rigorously defined, limiting the usefulness of tag-based metadata. We propose a novel approach to enrich tagging systems by constructing a tag ontology that captures semantic relationships among tags. We first consider regularities that can be exploited in a folksonomy. Then, we show how user-level tag vocabulary can be used for tag meaning disambiguation. Following this, we introduce a distance model to calculate the relatedness of two sets of resources within a folksonomy, and use this to develop a method for discovering tag relations. A series of experiments we conducted demonstrate the effectiveness of the method. We conclude the thesis with example use cases where our method can be applied to improve folksonomy data organization and queries. [illustration]

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/8352
Item ID: 8352
Additional Information: Includes bibliographical references (pages 80-84).
Keywords: Social Tagging, Tag Ontology, Tag Semantics, Folksonomy
Department(s): Science, Faculty of > Computer Science
Date: January 2015
Date Type: Submission
Library of Congress Subject Heading: Semantic computing; Ontologies (Information retrieval); User-generated content; World Wide Web--Subject access

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