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Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/8562
Title: Repurposing Social Tagging Data for Extraction of Domain-level Concepts
Autor: Purao, Sandeep
Casas Roma, Joan
Minguillón Alfonso, Julià
Conesa Caralt, Jordi
Sugumaran, Vijayan
Storey, Veda
Keywords: taxonomies
web 2.0
meta-data
tags
Issue Date: 28-Jun-2011
Type: Capítulo o parte de libro
Citación: Purao, S.; Storey, V.; Sugumaran, V.; Conesa, J.; Minguillón, J.; Casas, J. (2011). "Repurposing Social Tagging Data for Extraction of Domain-level Concepts". A:.Proceedings of the 16th International Conference on Applications of Natural Language to Information Systems. pàgs. 185 - 192.
Abstract: The World Wide Web, the world¿s largest resource for information, has evolved from organizing information using controlled, top-down taxonomies to a bottom up approach that emphasizes assigning meaning to data via mechanisms such as the Social Web (Web 2.0). Tagging adds meta-data, (weak semantics) to the content available on the web. This research investigates the potential for repurposing this layer of meta-data. We propose a multi-phase approach that exploits user-defined tags to identify and extract domain-level concepts. We operationalize this approach and assess its feasibility by application to a publicly available tag repository. The paper describes insights gained from implementing and applying the heuristics contained in the approach, as well as challenges and implications of repurposing tags for extraction of domain-level concepts.
Language: eng
URI: http://hdl.handle.net/10609/8562
ISBN: 978-3-642-22326-6
Appears in Collections:Parts of books or chapters of books


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