Dynamically focalized information service for command & control: It feels your requirements!

Military operational C2 (command & control) requires dynamically focalized information for support. Internet search engines do not meet such requirement, as they don't care who is making what decision, and needs what information for support. It is found that commanders of same type, executing similar tasks, have similar information requirements. By this idea, a knowledge based method is proposed to enable machine to dynamically feel user requirements and serve focalized information. It is proved feasible to improve commander decision making efficiency.

[1]  Bamshad Mobasher,et al.  Contextual Recommendation , 2007, WebMine.

[2]  Ricardo A. Baeza-Yates,et al.  Query Recommendation Using Query Logs in Search Engines , 2004, EDBT Workshops.

[3]  Johan Koolwaaij,et al.  Context-Aware Recommendations in the Mobile Tourist Application COMPASS , 2004, AH.

[4]  Yuzhong Qu,et al.  Discovering Simple Mappings Between Relational Database Schemas and Ontologies , 2007, ISWC/ASWC.

[5]  Yen-Jen Oyang,et al.  Relevant term suggestion in interactive web search based on contextual information in query session logs , 2003, J. Assoc. Inf. Sci. Technol..

[6]  Markus Strohmaier,et al.  Intentional query suggestion: making user goals more explicit during search , 2009, WSCD '09.

[7]  Benjamin Rey,et al.  Generating query substitutions , 2006, WWW '06.

[8]  Samuel W. K. Chan,et al.  A text-based decision support system for financial sequence prediction , 2011, Decis. Support Syst..

[9]  Gediminas Adomavicius,et al.  Context-aware recommender systems , 2008, RecSys '08.

[10]  Wang Bin.  A Survey of Query Suggestion in Search Engine , 2010 .

[11]  W K ChanSamuel,et al.  A text-based decision support system for financial sequence prediction , 2011 .

[12]  Jennifer Chu-Carroll,et al.  Building Watson: An Overview of the DeepQA Project , 2010, AI Mag..

[13]  Yujie Zhang,et al.  Context-Aware Recommender Systems: Context-Aware Recommender Systems , 2012 .

[14]  Ioannis Antonellis,et al.  Simrank++: query rewriting through link analysis of the clickgraph (poster) , 2007, Proc. VLDB Endow..

[15]  Ryen W. White,et al.  Query suggestion based on user landing pages , 2007, SIGIR.

[16]  Iftikhar U. Sikder,et al.  Knowledge-based spatial decision support systems: An assessment of environmental adaptability of crops , 2009, Expert Syst. Appl..

[17]  Angelo Corallo,et al.  A knowledge-based decision support system for shipboard damage control , 2012, Expert Syst. Appl..