Expanding the web of knowledge: One textbook at a time

Publication date

2019-09-12

Authors

Alpizar-Chacon, IsaacORCID 0000-0002-6931-9787ISNI 0000000506317436
Sosnovsky, SergeyISNI 0000000352729779

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

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