In this paper we address the problem of migrating instances between heterogeneous overlapping ontologies. The instance migration problem arises when one wants to reclassify a set of instances of a source ontology into a semantically related target ontology. Our approach exploits mappings between ontologies, which are used to reconcile both conceptual and individual level heterogeneity, and furt...

The present paper, framed within the ECTS scheme currently being piloted at the University of Jaén, reports on a study carried out in the second semester of the academic year 2004-5 with English Philology freshmen at this University. One of its aims, described in an initial section of the paper, was to determine whether the use of Computer Assisted Language Learning (CALL), and DataDriven Learn...

Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, security and computational overload problems often arise due to their high power dependency. To solve this problem, quantum (QDL) distributed (DDL) emerged complement existing DL methods. Furthermore, (QDDL) technique that combines maximizes these advantages is getting attention. This...

Abstract Corpus tools are known to be effective in helping L2 learners improve their writing, especially regarding use of words. Most corpus-based writing research has focused on university students while little attention been paid secondary school students. This study investigated whether senior China, upon receiving training under the framework data-driven learning (DDL), could vocabulary use...