An Algorithmic Formulation for Extracting Learning Concepts and Their Relatedness in eBook Texts

Piryani, Rajesh; Uddin, Ashraf; Devaraj, Madhavi; Singh, Vivek Kumar

doi:10.1007/978-3-319-03844-5_53

Cited by 3 publications

(1 citation statement)

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“…In future, methods for acquiring semantic information may be refined to generate more possibilities for semantic enhancement. One may join multiple PoS tags to identify more complex concepts (Piryani et al 2013). Semantic entity recognition techniques may provide another avenue for acquiring semantic data from eBook digest (Hinze et al 2015).…”

Section: Discussionmentioning

confidence: 99%

Visual Semantic Enrichment for eReading

Coleman

Hinze

2017

Electronic Workshops in Computing

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The current transition from physical to electronic books opens up opportunities to present semantic information about a book's content. This paper reports on a project that aims to improve the eBook reading experience by presenting semantic information about the eBook content together with the text. The key research challenges included suitable semantic information to be presented alongside a text and manners to display semantic information in an eReader application to supplement the text. We developed a web-based prototype that incorporates analysis of semantic content elements and explored the effectiveness of these semantic elements in a user study with 30 participants. Our results indicate that dynamic semantic visualisations may assist comprehension of existing concepts within an eBook, and provide insight to information that could not be easily gleaned by simply reading the text.

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Section: Discussionmentioning

confidence: 99%