In this paper we present the Generalized Upper Model Knowledge Base (GUM), an ontology which has been developed for Natural Language Processing applications. The GUM knowledge base has been used in several projects, including multilingual generation projects and information retrieval projects, supporting different knowledge domains. The motivations for this ‘linguistically motivate’ ontology are proving themselves to offer reusability across domains, tasks, and languages as well as the possibility of large scaling-up. We will describe both the general principles underlying the organization of the knowledge base and the architecture supporting its use
The Generalized Upper Model Knowledge Base: Organization and Use
Magnini, Bernardo;
1995-01-01
Abstract
In this paper we present the Generalized Upper Model Knowledge Base (GUM), an ontology which has been developed for Natural Language Processing applications. The GUM knowledge base has been used in several projects, including multilingual generation projects and information retrieval projects, supporting different knowledge domains. The motivations for this ‘linguistically motivate’ ontology are proving themselves to offer reusability across domains, tasks, and languages as well as the possibility of large scaling-up. We will describe both the general principles underlying the organization of the knowledge base and the architecture supporting its useI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
