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Context Aware Information Retrieval for Enhanced Situation Awareness

Ali Bahrami, Jun Yuan, Paul R. Smart, Nigel R. Shadbolt
2007 MILCOM 2007 - IEEE Military Communications Conference  
In this paper we present an infrastructure for context-aware information retrieval to enhance situation awareness.  ...  Information systems need to help users pull together data from disparate sources according to their expressed needs (as represented by system queries), as well as less specific criteria.  ...  Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation heron.  ... 
doi:10.1109/milcom.2007.4454827 fatcat:bxfrtu522fahzpp5onctaodiky

Tractor: A framework for soft information fusion

M Prentice, M Kandefer, S C Shapiro
2010 2010 13th International Conference on Information Fusion  
This paper presents a soft information fusion framework for creating a propositional graph from natural language messages with an emphasis on producing these graphs for fusion with other messages.  ...  The framework utilizes artificial intelligence techniques from natural language understanding, knowledge representation, and information retrieval.  ...  Acknowledgements This work has been supported by a Multidisciplinary University Research Initiative (MURI) grant (Number W911NF-09-1-0392) for "Unified Research on Networkbased Hard/Soft Information Fusion  ... 
doi:10.1109/icif.2010.5711896 fatcat:q5gdbw7szbbffhqn3pcu7mbx5e

Pricing, management and decision-making of financial markets with artificial intelligence: introduction to the issue

Feng Xiao, Jintao Ke
2021 Financial Innovation  
The topics of the 15 collected papers include, but are not limited to, the following aspects of artificial intelligence for financial markets: • Price prediction (4 papers) Artificial intelligence models  ...  Due to its capability of mining patterns from big data, artificial intelligence is regarded as an efficient tool to address the abovementioned challenges.  ...  The paper "DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction" proposes a unified solution for data collection, analysis, and visualization  ... 
doi:10.1186/s40854-021-00302-9 pmid:35024295 pmcid:PMC8566653 fatcat:3xzlgg2uy5hmxbz7l7wzi6jxya

Strategies and techniques for use and exploitation of Contextual Information in high-level fusion architectures

J Gomez-Romero, J Garcia, M Kandefer, James Llinas, J M Molina, M A Patricio, M Prentice, S C Shapiro
2010 2010 13th International Conference on Information Fusion  
focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications.  ...  Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire  ...  The US/UB Team gratefully acknowledge that this research activity is supported by a Multidisciplinary University Research Initiative (MURI) grant (Number W911NF-09-1-0392) for "Unified Research on Networkbased  ... 
doi:10.1109/icif.2010.5711859 fatcat:y5mwpxwmcvgzpb4nhhnjaznwpu

Effective advocacy strategies for influencing government nutrition policy: a conceptual model

Katherine Cullerton, Timothy Donnet, Amanda Lee, Danielle Gallegos
2018 International Journal of Behavioral Nutrition and Physical Activity  
To provide a more comprehensive insight into effective levers for influencing public health policy change, a conceptual model for poorly-resourced advocates was developed.  ...  Influencing public policy change can be difficult and complex, particularly for those with limited power and resources.  ...  Jean Adams for her helpful and supportive comments on an earlier draft of this paper.  ... 
doi:10.1186/s12966-018-0716-y pmid:30170610 pmcid:PMC6119246 fatcat:wiqvd3gbljbbdhrcccclma2vii

Guest Editorial: Special Issue on eGovernment Development and Applications (SIEGDA)

Andreas Meier, Luis Teran
2021 IEEE Transactions on Emerging Topics in Computing  
The fifth paper, entitled "Comparative analysis of metadata models on e-government open data platforms" by Milic et al., presents four metadata models for e-government open data platforms.  ...  Also, the government uses Internet technologies to unify and improve the processes within its respective organizations.  ...  See ht_ tps://www.ieee.org/publications/rights/index.html for more information. government data.  ... 
doi:10.1109/tetc.2021.3057776 fatcat:fkphy7konbeaxbyxattnfgfaca

Improved Post-Filtering Method Using Context Compensation

Be-Deu-Ro Kim, Jee-Hyong Lee
2016 International Journal of Fuzzy Logic and Intelligent Systems  
After reflecting the compensation of the rating data, the mechanism recommends the items to the user.  ...  To be specific, we calculate the compensation for different context information by measuring their average.  ...  Acknowledgements This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (B0101-16-0559) and this research was supported  ... 
doi:10.5391/ijfis.2016.16.2.119 fatcat:7ljufatunbetna2afjxyf3swbi

Design research in the context of federal law enforcement

Barbara Batokova, Todd Waits, Anne Connell
2014 2014 IEEE International Professional Communication Conference (IPCC)  
Index Terms -Design research, designing for federal law enforcement, human-centered design  ...  collaborative partnership that resulted in a high-value application that helped standardize the current state of practice and advanced the mission of the federal law enforcement agency in the realm of intelligence  ...  This material has been approved for public release and unlimited distribution. DM-0001414  ... 
doi:10.1109/ipcc.2014.7020380 dblp:conf/ipcc/BatokovaWC14 fatcat:xlevqkndqveejo3oxnhecmddbu

Spectrum Intelligent Radio: Technology, Development, and Future Trends [article]

Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic, and Dusit Niyato
2020 arXiv   pre-print
Opportunities, challenges, and future visions are also discussed for the realization of a fully intelligent radio.  ...  Following the line of intelligence, we propose to classify spectrum intelligent radio into three streams: classical signal processing, machine learning (ML), and contextual adaptation.  ...  where statistical models are created for specific problem domains and trained from big data; and • (S3) Contextual adaptation (CA), where contextual explanatory models are developed to represent the realworld  ... 
arXiv:2001.00207v1 fatcat:mlb3tpnwobcxzf2av24dvbnn6e

Autonomics: an autonomous and intelligent economic platform and next generation money tool [article]

Benjamin Munro, Julia McLachlan
2015 arXiv   pre-print
We propose a high level network architecture for an economic system that integrates money, governance and reputation.  ...  The state of the algorithm becomes the "memory" of a scalable and trustable artificial intelligence (AI). This AI offers a new platform for what we call the "Autonomy-of-Things" (AoT).  ...  It is specific, measured data organised contextually in a unified ontology of purposes.  ... 
arXiv:1508.05355v1 fatcat:lz3nf26qtjbfboghgr3m2qhsoy

Collaborative interactive visualization: exploratory concept

Marielle Mokhtari, Valérie Lavigne, Frédéric Drolet, Barbara D. Broome, Timothy P. Hanratty, David L. Hall, James Llinas
2015 Next-Generation Analyst III  
Dealing with an ever increasing amount of data is a challenge that military intelligence analysts or team of analysts face day to day.  ...  Interactive visualization strengthens collaboration because this approach is conducive to incrementally building a mental assessment of the data meaning.  ...  to and anticipate the new challenges of the Canadian Armed Forces and other government agencies.  ... 
doi:10.1117/12.2184179 fatcat:nfywufrbc5gwbgpx7dezoahjoe

Combating Non-State Organizations' Deep Reach Understanding the Expanded Influence of Non-State Actors and the Methodologies Required to Counter Their Future Growth

Victor Sundquist
2013 Social Science Research Network  
Public reporting burd9l1 for this collection o f information is estimated to average 1 hour per response. includi~ the time for reviewin~~;nstructions, searching existing data sources, gathering and maintaining  ...  the data needed, and completing and reviewing the collection of information.  ...  of collecting intelligence information for the government.  ... 
doi:10.2139/ssrn.2241898 fatcat:g5jto2nmsrfu5l5ib3ioupulbi

Challenges for Value-driven Semantic Data Quality Management

Rob Brennan
2017 Proceedings of the 19th International Conference on Enterprise Information Systems  
This paper reflects on six years developing semantic data quality tools and curation systems for both largescale social sciences data collection and a major web of data hub.  ...  This experience has led the author to believe in using organisational value as a mechanism for automation of data quality management to deal with Big Data volumes and variety.  ...  The author also wants to thank the reviewers for their many suggestions for improving the final version of this paper.  ... 
doi:10.5220/0006387803850392 dblp:conf/iceis/Brennan17 fatcat:qo53uev7n5azloevtksdzftinq

An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis

Belko Abdoul Aziz Diallo, Thierry Badard, Frédéric Hubert, Sylvie Daniel
2015 International journal of geosciences  
Mobile professionals need to be assisted with suitable mobile GeoBI (Geospatial Business Intelligence) systems, which are able to capture, organize and structure the user's reality into a relevant context  ...  GeoBI context modelling and reasoning are still research issues since there is not yet either a model or a relevant taxonomy regarding GeoBI contextual information.  ...  Relevant personal contextual information for a mobile GeoBI context. accessing BI data).  ... 
doi:10.4236/ijg.2015.61007 fatcat:t5zu66dz65e6bp326fovq7f5ze

Challenges and Governance Solutions for Data Science Services based on Open Data and APIs [article]

Juha-Pekka Joutsenlahti, Timo Lehtonen, Mikko Raatikainen, Elina Kettunen, Tommi Mikkonen
2021 arXiv   pre-print
We discuss how these challenges could be alleviated by better governance practices for provided open APIs and data.  ...  Increasingly common open data and open application programming interfaces (APIs) together with the progress of data science -- such as artificial intelligence (AI) and especially machine learning (ML)  ...  Data can be seen as a service proposal per se, but with open data, the commercial product is rather the intelligence built on top of the data to solve the specific contextual problems of the customers.  ... 
arXiv:2103.07290v1 fatcat:llqdrs4bajgavo5cszch42juxi
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