Introducing Distiller: A Unifying Framework for Knowledge Extraction

The Digital Libraries community has shown over the last years a growing interest in Semantic Search technologies. Content analysis 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 integration with different 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 flexible 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 support the development of new applications and to ease the integration of the existing ones.

• Type: Journal
• Year: 2015
• Where: AIIA
• Authors: Marco Basaldella, Dario De Nart, Carlo Tasso
• Keywords: AIIA 2015, Artificial Intelligence