Improving the Search for Learning Objects with Keywords and Ontologies

Abstract

Abstract. We report on an ongoing project which aims at improving the eectiveness of retrieval and accessibility of learning object within learning management systems and learning object repositories. The project Language Technology for eLearning approaches this task by providing Language Technology based functionalities and by integrating semantic knowledge through domain-specic ontologies. We will report about the development of a keyword extractor and a domain-specic ontology, the integration of these modules into the learning management system ILIAS and the validation of these tools which assesses their added value in the scenario of searching learning objects across dierent languages.

LESSON: A system for lecture notes searching and sharing over Internet

“…Najjar et al (2005) studied the usability problems of search tools for LOs. Lemnitzer et al (2007) exploited keywords and ontologies to improve LOs search performance. van der Zanden and Cuypers (2008) discussed portal building for facilitating mathematical LOs sharing.…”

OntDR: An Ontology-based Augmented Method for Document Retrieval

“…The search mechanism must exploit semantic characteristics of search queries and documents, and be able to find relevant documents that would not be found by a simple full-text search [3,4]. Most of the system includes domain ontology for the retrieval of the documents [5]. The main reason behind the use of ontologies is to overtake the limits of keyword-based search [4], i.e.…”

“…The documents are annotated with concepts. In the simplest case, for each document, there is a set of concepts that are relevant for the contents of the document [5].…”