Difference between revisions of "Improved Automatic Maturity Assessment of Wikipedia Medical Articles"
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| + | | title = Improved Automatic Maturity Assessment of Wikipedia Medical Articles | ||
| + | | date = 2014 | ||
| + | | authors = [[Emanuel Marzini]]<br />[[Angelo Spognardi]]<br />[[Ilaria Matteucci]]<br />[[Paolo Mori]]<br />[[Marinella Petrocchi]]<br />[[Riccardo Conti]] | ||
| + | | doi = 10.1007/978-3-662-45563-0_37 | ||
| + | | link = https://link.springer.com/content/pdf/10.1007%2F978-3-662-45563-0_37.pdf | ||
| + | }} | ||
'''Improved Automatic Maturity Assessment of Wikipedia Medical Articles''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Emanuel Marzini]], [[Angelo Spognardi]], [[Ilaria Matteucci]], [[Paolo Mori]], [[Marinella Petrocchi]] and [[Riccardo Conti]]. | '''Improved Automatic Maturity Assessment of Wikipedia Medical Articles''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Emanuel Marzini]], [[Angelo Spognardi]], [[Ilaria Matteucci]], [[Paolo Mori]], [[Marinella Petrocchi]] and [[Riccardo Conti]]. | ||
== Overview == | == Overview == | ||
The Internet is naturally a simple and immediate mean to retrieve information. However, not everything one can find is equally accurate and reliable. In this paper, authors continue line of research towards effective techniques for assessing the quality of online content. Focusing on the [[Wikipedia]] Medicinal Portal, in a previous work authors implemented an automatic technique to assess the quality of each article and authors compared results to the classification of the articles given by the portal itself, obtaining quite different outcomes. Here, authors present a lightweight instantiation of methodology that reduces both redundant [[features]] and those not mentioned by the WikiProject guidelines. What authors obtain is a fine-grained assessment and a better discrimination of the articles’ quality, w.r.t. previous work. Authors proposal could help to automatically evaluate the maturity of Wikipedia medical articles in an efficient way. | The Internet is naturally a simple and immediate mean to retrieve information. However, not everything one can find is equally accurate and reliable. In this paper, authors continue line of research towards effective techniques for assessing the quality of online content. Focusing on the [[Wikipedia]] Medicinal Portal, in a previous work authors implemented an automatic technique to assess the quality of each article and authors compared results to the classification of the articles given by the portal itself, obtaining quite different outcomes. Here, authors present a lightweight instantiation of methodology that reduces both redundant [[features]] and those not mentioned by the WikiProject guidelines. What authors obtain is a fine-grained assessment and a better discrimination of the articles’ quality, w.r.t. previous work. Authors proposal could help to automatically evaluate the maturity of Wikipedia medical articles in an efficient way. | ||
Revision as of 14:53, 23 November 2019
Authors | Emanuel Marzini Angelo Spognardi Ilaria Matteucci Paolo Mori Marinella Petrocchi Riccardo Conti |
|---|---|
Publication date | 2014 |
DOI | 10.1007/978-3-662-45563-0_37 |
Links | Original |
Improved Automatic Maturity Assessment of Wikipedia Medical Articles - scientific work related to Wikipedia quality published in 2014, written by Emanuel Marzini, Angelo Spognardi, Ilaria Matteucci, Paolo Mori, Marinella Petrocchi and Riccardo Conti.
Overview
The Internet is naturally a simple and immediate mean to retrieve information. However, not everything one can find is equally accurate and reliable. In this paper, authors continue line of research towards effective techniques for assessing the quality of online content. Focusing on the Wikipedia Medicinal Portal, in a previous work authors implemented an automatic technique to assess the quality of each article and authors compared results to the classification of the articles given by the portal itself, obtaining quite different outcomes. Here, authors present a lightweight instantiation of methodology that reduces both redundant features and those not mentioned by the WikiProject guidelines. What authors obtain is a fine-grained assessment and a better discrimination of the articles’ quality, w.r.t. previous work. Authors proposal could help to automatically evaluate the maturity of Wikipedia medical articles in an efficient way.
