Modus Operandi has several DCGS-A efforts focused on the challenge of processing structured and unstructured data, such as analyst gist or voice transcriptions. First, MO built a tool to help migrate unstructured legacy data sources to a service-oriented architecture (SOA) by mapping sections of report, a situational report (SITREP) or other messages to a web service. Once the message is exposed, another built-in capability publishes the report via a real-time communications channel. An entity extractor is subscribed to the channel and semantically tags concepts within the report based on the Joint Command, Control and Consultation Information Exchange Data Model (JC3IEDM) ontology. The semantically enriched message is indexed and made searchable. Another capability is to auto gist the search results so the analyst can quickly determine, at least at a high level, a summary of all the information returned in the search. The result is that the analyst can process unstructured work products more quickly by finding embedded entities and searching in a vocabulary native to their domain.


Modus Operandi (MO) developed a system that allows Marine Corps intelligence analysts to rapidly search large amounts of unstructured data, find critical patterns, and other essential elements of information and share their work with other analysts. The MO developed system is based on a semantic wiki that makes data more visible, accessible, and understandable. The wiki supports a collaborative environment and avoids much duplication of effort yet aiding individual efforts. Adding semantic capabilities to the basic wiki provides finer-grained, more accurate searches, as well as the capability to automatically generate pages and some page content. MO coupled the semantic wiki capabilities with text analytics to address the problem of integrating relevant information from unstructured documents. MO’s text analytics: 1) identifies events of interest to analysts such as IED events, observation events (sighting of a high value individual or HVI), and travel events (movement of an HVI from one location to another), 2) transforms them into Resource Description Framework (RDF) “triples”, and 3) persists the RDF in a triple store that supports advanced queries. Analysts can automatically create pages for these events by importing them into the semantic wiki from the triple store. Collectively these analytic tools combined in the semantic wiki expose DCGS-MC data to DIB searches without the need to manually create metadata cards (a means to identify data) and insert them into a DIB metadata catalog (MDC).


Modus Operandi is responsible for the development of deployment-ready software, legacy software enhancements, test and validation, and in-theater software baseline fielding on the Army GRCS sustainment and modernization project. A significant portion of this effort involves migrating legacy applications for use in DCGS-A, which will consolidate over ten legacy systems spanning seven intelligence domains. These migration efforts include normalizing and exposing GRCS data via a service-oriented architecture (SOA) for network based index and search services. GRCS data was exposed via a semantic model, or ontology, which is capable of mediating and harmonizing heterogeneous, structured and unstructured data stores. These SOA-based services provide the user with a common operating picture while leveraging existing programs and accessing real-time data.