Expanding the web of knowledge: One textbook at a time
Publication date
2019-09-12
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Document Type
Part of book
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taverne
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.
Keywords
DBpedia, Knowledge Extraction, Named Entity Disambiguation, Semantic Linking, Textbook, Taverne, Software, Artificial Intelligence, Human-Computer Interaction, Computer Graphics and Computer-Aided Design
Citation
Alpizar-Chacon, I & Sosnovsky, S 2019, Expanding the web of knowledge : One textbook at a time. in HT 2019 - Proceedings of the 30th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, New York, pp. 9-18, 30th ACM Conference on Hypertext and Social Media, HT 2019, Hof, Germany, 17/09/19. https://doi.org/10.1145/3342220.3343671, conference