Difference between revisions of "Tag Disambiguation Through Flickr and Wikipedia"
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| + | | title = Tag Disambiguation Through Flickr and Wikipedia | ||
| + | | date = 2010 | ||
| + | | authors = [[Anastasia Stampouli]]<br />[[Eirini Giannakidou]]<br />[[Athena Vakali]] | ||
| + | | doi = 10.1007/978-3-642-14589-6_26 | ||
| + | | link = https://link.springer.com/chapter/10.1007/978-3-642-14589-6_26 | ||
| + | }} | ||
'''Tag Disambiguation Through Flickr and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Anastasia Stampouli]], [[Eirini Giannakidou]] and [[Athena Vakali]]. | '''Tag Disambiguation Through Flickr and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Anastasia Stampouli]], [[Eirini Giannakidou]] and [[Athena Vakali]]. | ||
== Overview == | == Overview == | ||
Given the popularity of social tagging systems and the limitations these systems have, due to lack of any structure, a common issue that arises involves the low retrieval quality in such systems due to ambiguities of certain terms. In this paper, an approach for improving the retrieval in these systems, in case of ambiguous terms, is presented that attempts to perform tag disambiguation and, at the same time, provide users with relevant content. The idea is based on a mashup that combines data and functionality of two major web 2.0 sites, namely Flickr and [[Wikipedia]] and aims at enhancing content retrieval for web users. A case study with the ambiguous notion "Apple" illustrates the value of the proposed approach. | Given the popularity of social tagging systems and the limitations these systems have, due to lack of any structure, a common issue that arises involves the low retrieval quality in such systems due to ambiguities of certain terms. In this paper, an approach for improving the retrieval in these systems, in case of ambiguous terms, is presented that attempts to perform tag disambiguation and, at the same time, provide users with relevant content. The idea is based on a mashup that combines data and functionality of two major web 2.0 sites, namely Flickr and [[Wikipedia]] and aims at enhancing content retrieval for web users. A case study with the ambiguous notion "Apple" illustrates the value of the proposed approach. | ||
Revision as of 08:54, 23 July 2019
Authors | Anastasia Stampouli Eirini Giannakidou Athena Vakali |
|---|---|
Publication date | 2010 |
DOI | 10.1007/978-3-642-14589-6_26 |
Links | Original |
Tag Disambiguation Through Flickr and Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Anastasia Stampouli, Eirini Giannakidou and Athena Vakali.
Overview
Given the popularity of social tagging systems and the limitations these systems have, due to lack of any structure, a common issue that arises involves the low retrieval quality in such systems due to ambiguities of certain terms. In this paper, an approach for improving the retrieval in these systems, in case of ambiguous terms, is presented that attempts to perform tag disambiguation and, at the same time, provide users with relevant content. The idea is based on a mashup that combines data and functionality of two major web 2.0 sites, namely Flickr and Wikipedia and aims at enhancing content retrieval for web users. A case study with the ambiguous notion "Apple" illustrates the value of the proposed approach.
