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.
EnglishSeveral studies have concentrated on the generation of wrappers for web data sources. As wrappers can be easily described as grammars, the grammatical inference heritage could play a significant role in this research field. Recent results have identified a new subclass of regular languages, called prefix mark-up languages, that nicely abstract the structures usually found in HTML pages of large web sites. This class has been proven to be identifiable in the limit, and a PTIME unsupervised learning algorithm has been previously developed. Unfortunately, many real-life web pages do not fall in this class of languages. In this article we analyze the roots of the problem and we propose a technique to transform pages in order to bring them into the class of prefix mark-up languages. In this way, we have a practical solution without renouncing to the formal background defined within the grammatical inference framework. We report on some experiments that we have conducted on real-life web pages to evaluate the approach; the results of this activity demonstrate the effectiveness of the presented techniques.
VALTER CRESCENZI, & PAOLO MERIALDO (2008). WRAPPER INFERENCE FOR AMBIGUOUS WEB PAGES. APPLIED ARTIFICIAL INTELLIGENCE, 22(1), 21-52 [10.1080/08839510701853093].
| Titolo: | WRAPPER INFERENCE FOR AMBIGUOUS WEB PAGES | |
| Autori: | ||
| Data di pubblicazione: | 2008 | |
| Rivista: | ||
| Citazione: | VALTER CRESCENZI, & PAOLO MERIALDO (2008). WRAPPER INFERENCE FOR AMBIGUOUS WEB PAGES. APPLIED ARTIFICIAL INTELLIGENCE, 22(1), 21-52 [10.1080/08839510701853093]. | |
| Abstract: | Several studies have concentrated on the generation of wrappers for web data sources. As wrappers can be easily described as grammars, the grammatical inference heritage could play a significant role in this research field. Recent results have identified a new subclass of regular languages, called prefix mark-up languages, that nicely abstract the structures usually found in HTML pages of large web sites. This class has been proven to be identifiable in the limit, and a PTIME unsupervised learning algorithm has been previously developed. Unfortunately, many real-life web pages do not fall in this class of languages. In this article we analyze the roots of the problem and we propose a technique to transform pages in order to bring them into the class of prefix mark-up languages. In this way, we have a practical solution without renouncing to the formal background defined within the grammatical inference framework. We report on some experiments that we have conducted on real-life web pages to evaluate the approach; the results of this activity demonstrate the effectiveness of the presented techniques. | |
| Handle: | http://hdl.handle.net/11590/118185 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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