For some years now, the Intelligence Community has been using XML “tagging” of documents in an effort to make the documents more usable for data discovery, sharing, and other processing. In implementing a system (METS) which automates the identification of relevant data in documents, we noted several limitations of that XML tagging approach, and therefore chose to also provide an OWL ontology-based representation of that data. Here, we discuss the goals of METS, those XML limitations, and the OWL approach, showing how the latter should support better analysis. (As we discuss, clients have thus far not made use of the OWL results, so the benefits are still hypothetical.) We also discuss issues we encountered in developing the ontologies, outline the design and use of the operational METS for processing message feeds and other documents, and conclude with future plans which include greater ontology coordination and sharing, and assisting with the incorporation of tools for benefiting from the semantic information provided by the OWL.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com