## 3 Discussion and Proposed Solution
The ability to save analysis and insights on a given scenario with the ability to also run the same analysis according to temporal and/or geospatial data would result in meaningful data analysis over time and place. However, this may result in large repositories of data. CERS may also integrate effectively with the current US military initiative Operation Earnest Voice (OEV) where US military personnel are operating as many as 10 avatars/profiles collecting information on possible terrorists. Whilst reportedly only being utilised in foreign languages (Arabic, Pashto, Urdu and Farsi), OEV could be expanded to identify would-be malicious social engineers with the information fed into the SNeSSI. This information about potential terrorists may highlight malicious information groomers and social engineers found within the 'friends' of military personnel and/or their family's profiles, thus forming a degree of protection. It could also be utilised for feeding misinformation back to these malicious social engineers. In the context of rapid sensemaking within military family support, the interface can offer advice or guidance by way of interface advertisements e.g., financial assistance, social relationship counselling, family assistance and many other military personnel targeted services which may be proffered to users of SNeSSI at relevant times e.g., if the words 'feeling' 'down' 'depressed' or'sad' are posted the member can receive an advertisement for Family Support Services. In this context, the interface may also assist in identifying worrying trends either at home or abroad. The key is in the design of a contextualization engine that supports such rapid sensemaking and ultimately also supports decision-making from the overall analysis of themes identified. Adhoc qualitative research in military forums undertaken as part of the background research has shown that such automated interventions, in particular in relation to the \"do's\" and \"don'ts\" of secure military social networking, would lead to a sense of secureness. In addition to CERS, visual analytics linked to IP address could display the general mood of groups of friends and family which could, perhaps, be linked to military intelligence e.g., even a small amount of knowledge of critical missions may affect the mood of friends and family. News reports may also have an effect, for example reports of lack of equipment. It is important for the military to make sure that the families of personnel on active duty overseas are taken care of, as worries from home can affect performance in the field. A method for offering reassurance and support, by way of targeted military advertising as a direct result of contextualization and rapid sensemaking, in an unobtrusive way and without the end user realising they have been targeted, would be highly valuable. The use of data mining and Automated Reasoning (AR) will inform a human analyst defined ontology and assist the sensemaking and ranking process. Visual analytics and query expansion techniques will inform this rapid sensemaking process. Queries can be saved and scheduled for temporal re-run with results highlighted when significant changes take place. As well as user defined ontology, temporal data mining of terms within social networking environment can enhance an analyst's ability to detect new themes for inclusion in the ontology--perhaps linked to place and time. This could be used to detect and protect military related \"friends\". However, it could also be used to trawl social networking posts in general. [PERSON] _et al._[13, 14], in their SensePlace application, defined the following components to their sensemaking application: a lexicon, grammar defining multimodal language used by the system for input and output, a discourse analysis model, a user model and a knowledge base of task domain and interface information. The knowledge base may contain information about concepts such as military bases, missions, weapons as well as HCI concepts such as verbal expressions for domain concepts.