Semantic relationships are important components of ontologies. Specifying these relationships is workintensive and error-prone when done by experts. Discovering domain concepts and strongly related pairs of concepts in a completely automated way from English text is an unresolved problem. This paper uses index terms from a textbook as domain concepts and suggests pairs of concepts that are likely to be connected by strong semantic relationships. Two textbooks on Cyber Security were used as testbeds. To show the generality of the approach, the index terms from one of the books were used to generate suggestions for where to place semantic relationships using the bodies of both textbooks. A good overlap was found.
|Title of host publication||KEOD|
|Editors||Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, Joaquim Filipe|
|Number of pages||9|
|State||Published - 2015|
|Event||7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 - Lisbon, Portugal|
Duration: 12 Nov 2015 → 14 Nov 2015
|Name||IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management|
|Conference||7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015|
|Period||12/11/15 → 14/11/15|
Bibliographical notePublisher Copyright:
Copyright © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
- Security Concepts
- Semantic Relationships
- Semantically Correlated Terms
- Textbook Index