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 |
Author: | Purao, Sandeep Casas-Roma, Joan Minguillón, Julià Conesa, Jordi Sugumaran, Vijayan Storey, Veda |
Citation: | 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. |
Keywords: | taxonomies web 2.0 meta-data tags |
Document type: | info:eu-repo/semantics/bookPart |
Issue Date: | 28-Jun-2011 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Capítols o parts de llibres |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NLDB2011.pdf | 89,79 kB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License