Matches in SemOpenAlex for { <https://semopenalex.org/work/W3047298081> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W3047298081 abstract "In order to solve the problem of vocabulary learning confusion of primary Chinese language learners as well as effectively meet the current situation of learning resources overload, this study constructs a Chinese vocabulary learning resources recommendation system based on knowledge graph. First of all, the research on computer-supported vocabulary learning and learning resources recommendation based on knowledge graph is systematically reviewed. Secondly, this study designs the learning resources and 10 kinds of relations of Hanyu Shuiping Kaoshi (HSK) three-level vocabulary, and gives symmetry or transitivity to each relation, creates learning resources ontology, and constructs learning resources recommendation system based on knowledge graph by using Protégé, Apache Jena and Python, namely CiHai. Finally, through the trial of primary Chinese language learners, the semi-structured interview is used to evaluate the results. The results showed that learners are satisfied with the learning experience of the vocabulary recommendation system. CiHai is helpful in improving the learning effect of Chinese vocabulary." @default.
- W3047298081 created "2020-08-10" @default.
- W3047298081 creator A5020616991 @default.
- W3047298081 creator A5031731872 @default.
- W3047298081 creator A5044282589 @default.
- W3047298081 creator A5086583228 @default.
- W3047298081 date "2020-07-01" @default.
- W3047298081 modified "2023-10-16" @default.
- W3047298081 title "A Vocabulary Recommendation System based on Knowledge Graph for Chinese Language Learning" @default.
- W3047298081 cites W1963996086 @default.
- W3047298081 cites W2133318677 @default.
- W3047298081 cites W2169726144 @default.
- W3047298081 cites W2799324944 @default.
- W3047298081 cites W2944084104 @default.
- W3047298081 cites W832038511 @default.
- W3047298081 doi "https://doi.org/10.1109/icalt49669.2020.00068" @default.
- W3047298081 hasPublicationYear "2020" @default.
- W3047298081 type Work @default.
- W3047298081 sameAs 3047298081 @default.
- W3047298081 citedByCount "5" @default.
- W3047298081 countsByYear W30472980812021 @default.
- W3047298081 countsByYear W30472980812022 @default.
- W3047298081 countsByYear W30472980812023 @default.
- W3047298081 crossrefType "proceedings-article" @default.
- W3047298081 hasAuthorship W3047298081A5020616991 @default.
- W3047298081 hasAuthorship W3047298081A5031731872 @default.
- W3047298081 hasAuthorship W3047298081A5044282589 @default.
- W3047298081 hasAuthorship W3047298081A5086583228 @default.
- W3047298081 hasConcept C114614502 @default.
- W3047298081 hasConcept C136764020 @default.
- W3047298081 hasConcept C138885662 @default.
- W3047298081 hasConcept C154945302 @default.
- W3047298081 hasConcept C191399111 @default.
- W3047298081 hasConcept C204321447 @default.
- W3047298081 hasConcept C2777601683 @default.
- W3047298081 hasConcept C2984601542 @default.
- W3047298081 hasConcept C33923547 @default.
- W3047298081 hasConcept C41008148 @default.
- W3047298081 hasConcept C41895202 @default.
- W3047298081 hasConceptScore W3047298081C114614502 @default.
- W3047298081 hasConceptScore W3047298081C136764020 @default.
- W3047298081 hasConceptScore W3047298081C138885662 @default.
- W3047298081 hasConceptScore W3047298081C154945302 @default.
- W3047298081 hasConceptScore W3047298081C191399111 @default.
- W3047298081 hasConceptScore W3047298081C204321447 @default.
- W3047298081 hasConceptScore W3047298081C2777601683 @default.
- W3047298081 hasConceptScore W3047298081C2984601542 @default.
- W3047298081 hasConceptScore W3047298081C33923547 @default.
- W3047298081 hasConceptScore W3047298081C41008148 @default.
- W3047298081 hasConceptScore W3047298081C41895202 @default.
- W3047298081 hasLocation W30472980811 @default.
- W3047298081 hasOpenAccess W3047298081 @default.
- W3047298081 hasPrimaryLocation W30472980811 @default.
- W3047298081 hasRelatedWork W1988910916 @default.
- W3047298081 hasRelatedWork W2016959312 @default.
- W3047298081 hasRelatedWork W2283192490 @default.
- W3047298081 hasRelatedWork W2351746492 @default.
- W3047298081 hasRelatedWork W2365662948 @default.
- W3047298081 hasRelatedWork W2367621846 @default.
- W3047298081 hasRelatedWork W2380430606 @default.
- W3047298081 hasRelatedWork W2394096350 @default.
- W3047298081 hasRelatedWork W3019875293 @default.
- W3047298081 hasRelatedWork W3193522741 @default.
- W3047298081 isParatext "false" @default.
- W3047298081 isRetracted "false" @default.
- W3047298081 magId "3047298081" @default.
- W3047298081 workType "article" @default.