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.
Titolo: | Introducing Distiller: a Lightweight Framework for Knowledge Extraction and Filtering |
Autori: | |
Data di pubblicazione: | 2015 |
Serie: | |
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. |
Handle: | http://hdl.handle.net/11390/1071146 |
Appare nelle tipologie: | 4.3 Poster |