| Texto completo | |
| Autor(es): |
dos Reis, Julio Cesar
;
Borges, Marcos Vinicius Macedo
;
Gribeler, Guilherme Pereira
;
IEEE
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2019 IEEE 28TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE); v. N/A, p. 6-pg., 2019-01-01. |
| Resumo | |
Video lectures improve the learning experiences considering individual's needs and learning styles. However, the large amount of educational content and their availability in a fragmented way turns difficult the tasks of accessing these resources and understanding the concepts under study. Extracting relevant information from video lectures can be useful for recommendation purposes and for helping the interpretation of a concept in an exact moment of a lecture. The extraction of semantic metadata from a video natural language subtitle involves challenges in dealing with informal aspects of language and the detection of semantic classes from the text. In this paper, we conduct an empirical analysis of semantic annotation approaches supported by ontologies in the extraction of relevant metadata from textual transcriptions of video lectures in Computer Science. The obtained results indicate that existing tools can be useful for the studied task and the video lecture semantic metadata extraction process is highly influenced by the underlying ontologies. (AU) | |
| Processo FAPESP: | 17/02325-5 - EvOLoD: evolução de dados interconectados na Web Semântica |
| Beneficiário: | Julio Cesar dos Reis |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |
| Processo FAPESP: | 18/00313-2 - Anotação semântica para recomendação de conteúdos educacionais |
| Beneficiário: | Marcos Vinicius Macêdo Borges |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |