Ms. joanne knight Profile

joanne knight

at I2WD CERDEC

SPIE Involvement:

Author

Publications (2)

Proceedings Article | 12 May 2016 Paper

Transforming a research-oriented dataset for evaluation of tactical information extraction technologies

Heather Roy, Sue Kase, Joanne Knight

Proceedings Volume 9851, 98510O (2016) https://doi.org/10.1117/12.2224032

KEYWORDS: Information technology, Sensors, Data processing, Computer simulations, Tactical intelligence, Alternate lighting of surfaces, Analytical research, Signals intelligence, Military intelligence, Social network analysis

Read Abstract +

The most representative and accurate data for testing and evaluating information extraction technologies is real-world data. Real-world operational data can provide important insights into human and sensor characteristics, interactions, and behavior. However, several challenges limit the feasibility of experimentation with real-world operational data. Realworld data lacks the precise knowledge of a “ground truth,” a critical factor for benchmarking progress of developing automated information processing technologies. Additionally, the use of real-world data is often limited by classification restrictions due to the methods of collection, procedures for processing, and tactical sensitivities related to the sources, events, or objects of interest. These challenges, along with an increase in the development of automated information extraction technologies, are fueling an emerging demand for operationally-realistic datasets for benchmarking. An approach to meet this demand is to create synthetic datasets, which are operationally-realistic yet unclassified in content. The unclassified nature of these unclassified synthetic datasets facilitates the sharing of data between military and academic researchers thus increasing coordinated testing efforts. This paper describes the expansion and augmentation of two synthetic text datasets, one initially developed through academic research collaborations with the Army. Both datasets feature simulated tactical intelligence reports regarding fictitious terrorist activity occurring within a counterinsurgency (COIN) operation. The datasets were expanded and augmented to create two military relevant datasets. The first resulting dataset was created by augmenting and merging the two to create a single larger dataset containing ground-truth. The second resulting dataset was restructured to more realistically represent the format and content of intelligence reports. The dataset transformation effort, the final datasets, and their applicability for research are presented.

Proceedings Article | 12 May 2016 Paper

Visual graph query formulation and exploration: a new perspective on information retrieval at the edge

Sue Kase, Michelle Vanni, Joanne Knight, Yu Su, Xifeng Yan

Proceedings Volume 9851, 985104 (2016) https://doi.org/10.1117/12.2228380

KEYWORDS: Visualization, Databases, Data modeling, Analytical research, Chemical engineering, Human-machine interfaces, Chemical analysis, Internet, Information technology, Materials science

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years