Semantic content analysis is an activity that can greatly sup- p ort a broad range of user mo delling applications. Several automatic to ols are available, however such systems usually provide little tuning p ossibilities and do not supp ort integration with dierent systems. Per- sonalization applications, on the other hand, are b ecoming increasingly multi-lingual and cross-domain. In this pap er we present a novel frame- work for Knowledge Extraction, whose main goal is to supp ort the de- velopment of new strategies and technologies and to ease the integration of the existing ones.

Introducing Distiller: a Lightweight Framework for Knowledge Extraction and Filtering

TASSO, Carlo
2015-01-01

Abstract

Semantic content analysis is an activity that can greatly sup- p ort a broad range of user mo delling applications. Several automatic to ols are available, however such systems usually provide little tuning p ossibilities and do not supp ort integration with dierent systems. Per- sonalization applications, on the other hand, are b ecoming increasingly multi-lingual and cross-domain. In this pap er we present a novel frame- work for Knowledge Extraction, whose main goal is to supp ort the de- velopment of new strategies and technologies and to ease the integration of the existing ones.
2015
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1071146
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact