Extraction of concept maps from textbooks for domain modeling


Previous research using concept maps as domain models in intelligent tutoring systems has demonstrated their power and flexibility. However, these concept maps must still be authored by a domain expert, creating a development bottleneck. We present a new, streamlined methodology for automatically extracting concept maps from textbooks using term extraction, semantic parsing, and relation classification. © 2010 Springer-Verlag.

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)