Benvenuti nell'Anagrafe della Ricerca d'Ateneo
La valutazione delle attività di ricerca che si svolgono nelle università ha assunto un'importanza rilevante sia per l'intero sistema universitario sia all'interno di ogni singolo ateneo. Roma Tre si è quindi dotata di idonei strumenti informativi in grado di supportare al meglio le azioni di monitoraggio e di valutazione delle attività di ricerca svolte nei propri dipartimentied ha realizzato una Anagrafe della Ricerca di Ateneo.
EnglishIn data-intensive web sites pages are generated by scripts that embed data from a back-end database into HTML templates. There is usually a relationship between the semantics of the data in a page and its corresponding template. For example, in a web site about sports events, it is likely that pages with data about athletes are associated with a template that differs from the template used to generate pages about coaches or referees. This article presents a method to classify web pages according to the associated template. Given a web page, the goal of our method is to accurately find the pages that are about the same topic. Our method leverages on a simple, yet effective model to abstract some structural features of a web page. We present the results of an extensive experimental analysis that show the performance of our methods in terms of both recall and precision regarding a large number of real-world web pages.
LORENZO BLANCO, CRESCENZI V, & PAOLO MERIALDO (2008). Structure and Semantics of Data-IntensiveWeb Pages: An Experimental Study on their Relationships. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 14, 1877-1892.
| Titolo: | Structure and Semantics of Data-IntensiveWeb Pages: An Experimental Study on their Relationships |
| Autori: | |
| Data di pubblicazione: | 2008 |
| Rivista: | |
| Citazione: | LORENZO BLANCO, CRESCENZI V, & PAOLO MERIALDO (2008). Structure and Semantics of Data-IntensiveWeb Pages: An Experimental Study on their Relationships. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 14, 1877-1892. |
| Abstract: | In data-intensive web sites pages are generated by scripts that embed data from a back-end database into HTML templates. There is usually a relationship between the semantics of the data in a page and its corresponding template. For example, in a web site about sports events, it is likely that pages with data about athletes are associated with a template that differs from the template used to generate pages about coaches or referees. This article presents a method to classify web pages according to the associated template. Given a web page, the goal of our method is to accurately find the pages that are about the same topic. Our method leverages on a simple, yet effective model to abstract some structural features of a web page. We present the results of an extensive experimental analysis that show the performance of our methods in terms of both recall and precision regarding a large number of real-world web pages. |
| Handle: | http://hdl.handle.net/11590/141536 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
http://hdl.handle.net/11590/141536
Copyright © 2021