Accessing and manipulating meaning of textual and data information for information assurance and security and intelligence information
Victor Raskin, Brian H Buck, Arthur Keen, Christian F. Hempelmann, Katrina E. Triezenberg · 2008
This extended abstract focuses on the crucial task of accessing meaning directly in natural language texts (NLT) and databases for the purposes of information assurance and security (IAS) and, especially, information intelligence. It is pretty obvious to all those involved in these areas that much if not most of the information that is pertinent for the various tasks in these fields is represented by NLTs and data from the Web, intercepted documents, research and position papers, print and media reports, etc. The paper deals with a unique approach, ontological semantics (OntoSem), that makes it possible to access the comprehensive meaning of texts and databases directly, emulating and approximating human understanding, and to manipulate it in various real-life applications, rather than trying to circumvent semantics with the juxtaposition of practically unimplementable formalisms, increasingly detailed syntactic parsers or ingenious cluster statistics on NLTs, which is most of the field of natural language processing (NLP) has been playing with in the last two decades.