Crosslingual Retrieval in an eLearning Environment

Authors:
Cristina Vertan;Kiril Simov;Petya Osenova;Lothar Lemnitzer;Alex Killing;Diane Evans;Paola Monachesi
Affiliations:
Natural Language Systems Division, Institute of Informatics, University Hamburg, Germany;LML, IPP, Bulgarian Academy of Sciences, Sofia, Bulgaria;LML, IPP, Bulgarian Academy of Sciences, Sofia, Bulgaria;Seminar für Sprachwissenchaft, Universität Tübingen, Germany;Center for Security Studies, ETH Zürich, Switzerland;The Open University, Milton Keynes, UK;Uil-OTS, Utrecht University, The Netherlands
Venue:
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Year:
2007

Citing 4
Cited 0

Evaluating ontological decisions with OntoClean

Communications of the ACM - Ontology: different ways of representing the same concept
Supporting ontological analysis of taxonomic relationships

Data & Knowledge Engineering - ER2000
DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)

Web Semantics: Science, Services and Agents on the World Wide Web
Improving the search for learning objects with keywords and ontologies

EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we are reporting about an ongoing project LT4eL (Language Technolohy for eLearning) aiming at improving the effectiveness of retrieval and accessibility of learning objects within a learning management system. We elaborate the process of building the domain ontology and present the multilingual support offered to the application.