SWord: Semantic Annotations Revisited

Oleg Rostanin, Passant El Agroudy

In: Andreas König , Andreas Dengel , Knut Hinkelmann , Koichi Kise , Robert J. Howlett , Lakhmi C. Jain (Hrsg.). Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2011) 15th September 12-14 Kaiserslautern Germany Seiten 410-419 Lecture Notes in Computer Science (LNCS) 6882 ISBN 978-3-642-23862-8 Springer 9/2011.


Using semantic annotations to support knowledge intensive office work is an important trend in knowledge management since the last decade. Although standards for semantic mark-up such as RDFa were introduced for annotating XML-based resources, a standardized approach to combining unstructured data from office desktop documents with highly-structured semantic annotations still does not exist. This paper presents an add-in for MS Word allowing to seamlessly integrate semantic categorizations within MS Word documents. The SWord plugin assists user in categorizing Word documents and their parts by assigning them semantic categories from a lightweight knowledge base. Semantic categories are used for convenient navigation in large documents as well as means for better document organization and re-finding when using standard Windows Desktop Search tool.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence