In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Medical ontologies are developed to solve problems such as the demand for reusing, sharing and transmitting data. The unambiguous communication of complex and detailed medical conc...
Concept Maps constitute one of the tools mostly used in learning management due to the possibility that they offer to contextualize learning, share knowledge and for learning to le...
Leonel Iriarte Navarro, Manuel Marco Such, Daniel ...
This paper presents an architecture that helps users to collect and qualify meta-information about web resources within a weblog and then share them with a group of people. Our arc...