Name
Title | ||
|---|---|---|
Introducing Distiller: a Lightweight Framework for Knowledge Extraction and Filtering. |
Abstract | ||
|---|---|---|
Semantic content analysis is an activity that can greatly support a broad range of user modelling applications. Several automatic tools are available, however such systems usually provide little tuning possibilities and do not support integration with di erent systems. Personalization applications, on the other hand, are becoming increasingly multi-lingual and cross-domain. In this paper we present a novel framework for Knowledge Extraction, whose main goal is to support the development of new strategies and technologies and to ease the integration of the existing ones. |
Year | Venue | Field |
|---|---|---|
2015 | UMAP Workshops | Content analysis,Information retrieval,Computer science,Filter (signal processing),Knowledge extraction,Database,Personalization |
DocType | Citations | PageRank |
Conference | 1 | 0.38 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dario De Nart | 1 | 34 | 7.70 |
| Dante Degl'Innocenti | 2 | 13 | 4.45 |
| Carlo Tasso | 3 | 511 | 84.98 |