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Semantic Retrieval of Documents From Digital Repositories and Twitter Integration in the Moodle Environment

Semantic Retrieval of Documents From Digital Repositories and Twitter Integration in the Moodle Environment
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Author(s): Renan Rodrigues de Oliveira (Instituto Federal de Educação, Ciência e Tecnologia de Goiás (IFG), Brazil), Fábio Moreira Costa (Universidade Federal de Goiás (UFG), Brazil), Cedric Luiz de Carvalho (Universidade Federal de Goiás (UFG), Brazil)and Ana Paula Ambròsio (Universidade Federal de Goiás (UFG), Brazil)
Copyright: 2018
Pages: 29
Source title: Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5191-1.ch093

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Abstract

Virtual learning environments represent an important step in enabling distance and blended education. Moodle's structure for content enables the identification of well-defined learning contexts. Nevertheless, Moodle currently does not provide standard features to leverage the use of such contextual information, nor does it provide a standard built-in search facility. This chapter presents a context-sensitive Moodle plug-in for the search of external resources that allows semantic-based retrieval of documents from any external repository that offers an OAI-PMH standard compliant interface. As a way to increase their potential use, the plug-in also retrieves Twitter messages (known as tweets), since social networks are shown as an important tool to support education. Retrieved resources are presented in order of importance according to both the query terms provided by the user and the current context derived from the Moodle content structure. Searches are semantically expanded by evaluating the query terms according to a specific ontology associated with the context.

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