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Domain Ontology as a Resource Providing Adaptivity in eLearning
 

Summary: Domain Ontology as a Resource Providing
Adaptivity in eLearning
Galia Angelova, Ognian Kalaydjiev, and Albena Strupchanska
Linguistic Modelling Department, Institute for Parallel Information Processing,
Bulgarian Academy of Sciences
25A Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
{galia, ogi, albena}@lml.bas.bg
Abstract. This paper presents a knowledge-based approach to eLearn-
ing, where the domain ontology plays central role as a resource struc-
turing the learning content and supporting flexible adaptive strategies
for navigation through it. The content is oriented to computer aided
language learning of English financial terminology. Domain knowledge is
acquired to cover the conceptualisation of basic notions about financial
markets. The learning objects are annotated according to the type la-
bels of a precisely elaborated type hierarchy and associated first-order
logic propositions. The learner model and adaptivity decisions exploit the
hierarchy of concepts. We claim that the well-organised domain know-
ledge might be a prerequisite which provides interoperability of learning
objects, at least in a significant number of learning applications. Un-
fortunately, exchange between ontologies is difficult, as there is no much

  

Source: Angelova, Galia - Linguistic Modelling Department, Institute for Parallel Processing (Sofia, Bulgaria)

 

Collections: Computer Technologies and Information Sciences