Collecting Open Source Intelligence via Tailored Information Delivery Systems

ABSTRACT

The Internet offers a plethora of freely available information for possible use in Open Source Intelligence (OSINT) operations.  However, along with this information come challenges in finding relevant information and overcoming information overload.  This paper presents the results of an ongoing research in a Tailored Information Delivery Services (TIDS) system that aids users in retrieving relevant information through various open intelligence sources.  The TIDS provides a semantics-based query constructor that operates in a “What You Get is What You Need (WYGIWYNTM)” fashion and builds ontology based information tagging, theme extractor, and contextual model.


AUTHORS

The KEWI Research Group, College of Information Science and Technology University Nebraska at Omaha, Omaha, Nebraska

William Sousan holds a Bachelor and Master of Science degree in Computer Science and is currently a PhD student at the University of Nebraska at Omaha. His interests are semantic web, web intelligence, ontologies, knowledge modelling, and information retrieval and extraction. He presently is employed as a software engineer of embedded systems for TSI in Omaha, Nebraska.

The KEWI Research Group, College of Information Science and Technology University Nebraska at Omaha, Omaha, Nebraska

Qiuming Zhu is a professor of computer science at the University of Nebraska at Omaha. He received his Ph.D. in computer and systems engineering from Rensselaer Polytechnic Institute in 1986, was a postdoctoral Research fellow in the Center for Computer Aids for Industrial Productivity at the Rutgers University, and was an assistant professor of computer science and engineering at the Oakland University from 1986 to 1990. His research interests include digital image processing and computer vision, pattern recognition, neural networks, multi-agent software systems, and artificial intelligence applications in science and engineering.

The KEWI Research Group, College of Information Science and Technology University Nebraska at Omaha, Omaha, Nebraska

Ryan Nickell is presently pursuing his Master’s degree in Computer Science at the University of Nebraska, Omaha. His research interests include natural language processing, web applications, and the semantic web.

Photo of Dr. William R. Mahoney

School of Interdisciplinary Informatics University of Nebraska at Omaha, Nebraska,
USA

Dr. William R. Mahoney received his B.A. and B.S. degrees from Southern Illinois University, and his M.A. and Ph.D. degrees from the University of Nebraska Lincoln. He is a Professor in the College of Information Science and Technology in the School of Interdisciplinary Informatics at the University of Nebraska at Omaha. His primary re-search interests include language compilers, hardware and instruction set design, and code generation and optimisation, as these topics relate to cybersecurity goals. As such, his interests are in areas such as code obfuscation, reverse engineering and anti-reverse engineering techniques, and vulnerability analysis. Industrial control systems are a specific target of these research areas. Prior to working at the Kiewit Institute, Dr. Mahoney worked for 20+ years in the computer design industry, specifically in the areas of embedded computing and real-time operating systems. During this time, he was also on the part-time faculty of the University of Nebraska at Omaha.

The KEWI Research Group, College of Information Science and Technology University Nebraska at Omaha, Omaha, Nebraska

Peter Hospodka completed his B.S. in Computer Science from the University of Nebraska at Omaha in 2006, and completed his M.S. in Computer Science also at the University of Nebraska at Omaha in 2008. He is a software engineer with interests directed towards Artificial Intelligence and its applications, with a focus in developing Web applications.

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Keywords

C

C2
C2S
CDX
CIA
CIP
CPS

I

IA
ICS

S

SOA

X

XRY

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