The Digital Libraries community has shown over the last years a growing interest in Semantic Search technologies. Content anal- ysis and annotation is a vital task, but for large corpora it's not feasible to do it manually. Several automatic tools are available, but such tools usually provide little tuning possibilities and do not support integra- tion with dierent systems. Search and adaptation technologies, on the other hand, are becoming increasingly multi-lingual and cross-domain to tackle the continuous growth of the available information. So, we claim that to tackle such criticalities a more systematic and exible approach, such as the use of a framework, is needed. In this paper we present a novel framework for Knowledge Extraction, whose main goal is to sup- port the development of new applications and to ease the integration of the existing ones.
Introducing Distiller: A Unifying Framework for Knowledge Extraction
BASALDELLA, Marco;TASSO, Carlo
2015-01-01
Abstract
The Digital Libraries community has shown over the last years a growing interest in Semantic Search technologies. Content anal- ysis and annotation is a vital task, but for large corpora it's not feasible to do it manually. Several automatic tools are available, but such tools usually provide little tuning possibilities and do not support integra- tion with dierent systems. Search and adaptation technologies, on the other hand, are becoming increasingly multi-lingual and cross-domain to tackle the continuous growth of the available information. So, we claim that to tackle such criticalities a more systematic and exible approach, such as the use of a framework, is needed. In this paper we present a novel framework for Knowledge Extraction, whose main goal is to sup- port the development of new applications and to ease the integration of the existing ones.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
