Logo des Repositoriums
 

Findoo – Interoperable E-Learning Semantic Search and Content Authoring Assistance

dc.contributor.authorStreicher, Alexander
dc.contributor.authorSchwarz, Simon
dc.contributor.editorHenning, Peter A.
dc.contributor.editorStriewe, Michael
dc.contributor.editorWölfel, Matthias
dc.date.accessioned2022-08-23T09:52:55Z
dc.date.available2022-08-23T09:52:55Z
dc.date.issued2022
dc.description.abstractSearch engine assistance systems can be of great use in the creation and curation of e-learning content. However, conventional crawling methods are typically limited in Learning Management Systems (LMS) due to technical barriers such as authentication or proprietary data formats. This article presents the concept and implementation of an e-learning search engine called “Findoo” based on a Learning Tools Interoperability (LTI) deep web crawler, combined with an assistance tool for content curation, e.g., restructuring of learning objects. Our concept includes robust crawling as well as assistance functions such as a semantic search and content recommendations. The system is designed with a modular architecture which makes fine-tuning to future use cases possible. Experimental technical verification results indicate that the system is well suited for domain-specific information retrieval.en
dc.identifier.doi10.18420/delfi2022-027
dc.identifier.isbn978-3-88579-716-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/38827
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof20. Fachtagung Bildungstechnologien (DELFI)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-322
dc.subjecte-Learning
dc.subjectSearch Engine
dc.subjectInformation Retrieval
dc.subjectInteroperability
dc.subjectAssistance System
dc.titleFindoo – Interoperable E-Learning Semantic Search and Content Authoring Assistanceen
dc.typeText/Conference Paper
gi.citation.endPage158
gi.citation.publisherPlaceBonn
gi.citation.startPage153
gi.conference.date12.-14. September 2022
gi.conference.locationKarlsruhe

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
DELFI_2022_027.pdf
Größe:
555.81 KB
Format:
Adobe Portable Document Format