Expanding the web of knowledge: One textbook at a time

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Textbooks are educational documents created, structured and formatted in a way that facilitates understanding. Most digital textbooks are released as mere digital copies of their printed counterparts. We present a mechanism that extracts knowledge models from textbooks and enriches their content with additional links (both internal and external). The textbooks essentially become hypertext documents where individual pages are annotated with important concepts in the domain. We also show that extracted models can be automatically connected to the Linked Open Data cloud, which helps further facilitate access, discovery, enrichment, and adaptation of textbook content. Integrating multiple textbooks from the same domain increases the coverage of the composite model while keeping its accuracy relatively high. The overall results of the evaluation show that the proposed approach can generate models of good quality and is applicable across multiple domains.

Original languageEnglish
Title of host publicationHT 2019 - Proceedings of the 30th ACM Conference on Hypertext and Social Media
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages9-18
Number of pages10
ISBN (Electronic)9781450368858
DOIs
Publication statusPublished - 12 Sept 2019
Event30th ACM Conference on Hypertext and Social Media, HT 2019 - Hof, Germany
Duration: 17 Sept 201920 Sept 2019

Conference

Conference30th ACM Conference on Hypertext and Social Media, HT 2019
Country/TerritoryGermany
CityHof
Period17/09/1920/09/19

Keywords

  • DBpedia
  • Knowledge Extraction
  • Named Entity Disambiguation
  • Semantic Linking
  • Textbook

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