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HONto: A Bottom-Up Knowledge Base from Textbooks for Recomm..:
, In:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Wehnert, Sabine
- p. 2703 ff. , 2021
Link:
https://dl.acm.org/doi/10.1145/3404835.3463267
RT T1 <cTitle>Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3463267&Exemplar=1&LAN=DE A1 Wehnert, Sabine PB ACM YR 2021 K1 high-recall information retrieval K1 lightweight ontology K1 usability K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Information extraction K1 Knowledge representation and reasoning K1 Ontology engineering K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 Usability testing SP 2703 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3404835.3463267 DO https://dl.acm.org/doi/10.1145/3404835.3463267 SF ELIB - SuUB Bremen
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