Titlebook: Digital Libraries: Achievements, Challenges and Opportunities; 9th International Co Shigeo Sugimoto,Jane Hunter,Atsuyuki Morishima Conferen

finale

A Research Project to Convert Chinese Traditional Calligraphic Paintings to SCORM-Compatible E-Learnnd digital learning may become possible. Moreover, the construction of a platform for integrating digital content with e-learning creates a frontier, opening up new resources in Chinese traditional calligraphic painting instruction.

問(wèn)到了燒瓶

Topic Structure Mining Using PageRank Without Hyperlinksrmance in terms of main topic identification and topical clustering than the baseline method. Furthermore, we show an example of document set visualization that offers novel document browsing through the topic structure. Experiments show that our topic structure mining method is useful for user-oriented document selection.

辭職

https://doi.org/10.1007/978-3-030-45956-7eo archive systems and digitizing video and audio resources. By sharing our experience and the technologies developed in our research, we hope to provide digital content providers and researchers with guidelines for the design and development of digital video archive systems and value-added video/audio data.

invulnerable

過(guò)去分詞

擔(dān)心

Jonathan Cacace,Nicola Mimmo,Lorenzo Marconind digital learning may become possible. Moreover, the construction of a platform for integrating digital content with e-learning creates a frontier, opening up new resources in Chinese traditional calligraphic painting instruction.

Abrupt

esculent

Grzegorz Granosik,Micha? Pytaszwing Metadata, and in which various metadata and annotations are managed in different levels of authenticity, authorship, and user groups. As a result of the experimental classes for 89 6th-grade children, our framework was found to be efficient and accepted by the content creators, like museum experts, content annotators and shool teachers.

chiropractor

有機(jī)體

Studies in Computational Intelligenceethods were implemented by computing the “common” and “unique” feature vectors of the given sample pages, and by comparing those feature vectors with each retrieved page. We evaluated our method for sibling page search, in which our method was applied to test sets consisting of page collections from the Open Directory Project (ODP).