Streicher, AlexanderSchwarz, SimonHenning, Peter A.Striewe, MichaelWölfel, Matthias2022-08-232022-08-232022978-3-88579-716-6https://dl.gi.de/handle/20.500.12116/38827Search 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.ene-LearningSearch EngineInformation RetrievalInteroperabilityAssistance SystemText/Conference Paper10.18420/delfi2022-0271617-5468