Minign Critical Infrastructure Information from Municipality Data Sets: A Knowledge-Driven Approach and Its Implications

Minign Critical Infrastructure Information from Municipality Data Sets: A Knowledge-Driven Approach and Its Implications

William J. Tolone (University of North Carolina at Charlotte, USA), Wei-Ning Xiang (University of North Carolina at Charlotte, USA), Anita Raja (University of North Carolina at Charlotte, USA), David Wilson (University of North Carolina at Charlotte, USA), Qianhong Tang (University of North Carolina at Charlotte, USA) and Ken McWilliams (University of North Carolina at Charlotte, USA)
Copyright: © 2007 |Pages: 16
DOI: 10.4018/978-1-59904-075-2.ch014
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An essential task in critical infrastructure protection is the assessment of critical infrastructure vulnerabilities. The use of scenario sets is widely regarded as the best form for such assessments. Unfortunately, the construction of scenario sets is hindered by a lack in the public domain of critical infrastructure information as such information is commonly confidential, proprietary, or business sensitive. At the same time, there is a wealth of municipal data in the public domain that is pertinent to critical infrastructures. However, to date, there are no reported studies on how to extract only the most relevant CI information from these municipal sources, nor does a methodology exist that guides the practice of CI information mining on municipal data sets. This problem is particularly challenging as these data sets are typically voluminous, heterogeneous, and even entrapping. In this chapter, we propose a knowledge-driven methodology that facilitates the extraction of CI information from public domain, i.e., open source, municipal data sets. Under this methodology, pieces of deep, though usually tacit, knowledge acquired from CI domain experts are employed as keys to decipher the massive sets of municipal data and extract the relevant CI information. The proposed methodology was tested successfully on a municipality in the Southeastern United States. The methodology is considered a viable choice for CIP professionals in their efforts to gather CI information for scenario composition and vulnerability assessment.

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Table of Contents
Paul Gray
Chapter 1
Peishing Zhao, Genong Yu, Liping Di
As Web service technologies mature in recent years, a growing number of geospatial Web services designed to interoperate spatial information over... Sample PDF
Geospatial Web Services
Chapter 2
Brian N. Hilton, Richard J. Burkhard, Tarun Abhichandani
An approach to an ontology-based information system design theory for spatial information system development is presented. This approach addresses... Sample PDF
Spatial Information System Development: The Role of Information Systems Design Theory and Ontologies
Chapter 3
Judith Woodhall
This chapter discusses how the need for geospatially enabled data messaging among emergency response agencies can be enabled with the Emergency... Sample PDF
Geospatially Enabled Directory for EmergencyResponse Interoperability
Chapter 4
Gunjan Kalra
This chapter discusses the process of providing information in its most accurate, complete form to its users and the difficulties faced by the users... Sample PDF
The Weather Tool, An Agent-Based Approach to Information Integration
Chapter 5
We Shinn Ku, Roger Zimmermann
We present an information architecture using Web services for exchanging and utilizing geotechnical information, which is of critical interest to a... Sample PDF
GIME: A Geotechnical Information Exchange Architecture using Web Services
Chapter 6
June K. Hilton, David E. Drew
At the beginning of the twenty-first century, technology implementation and its effect on student achievement is a topic of much interest and... Sample PDF
ScienceMaps: An Onlien Resource Portal for Standards-Based Science Instrucion Using Geographic Information Systems Technology
Chapter 7
Shan Gao, David Sundaram
Spatial decision-making is a key aspect of human behaviour. Spatial decision support systems support spatial decision-making processes by... Sample PDF
Flexible Spatial Decision-Making and Support: Processes and Systems
Chapter 8
Ramanathan Sugumaran, Shriram Ilavajhala, Vijayan Sugumaran
A SDSS combines database storage technologies, geographic information systems (GIS) and decision modeling into tools which can be used to address a... Sample PDF
Development of a Web-Based Intelligent Spatial Decision Support System (WEBISDSS): A Case Study with Snow Removal Operations
Chapter 9
Todd G. Olson, Brian N. Hilton
Habitat suitability modeling in some form is required for virtually every regulatory action and conservation planning process that involves rare... Sample PDF
Conservation Studio: Dynamically Modeling and Mapping Habitat Suitability
Chapter 10
Ramanathan Sugumaran, Brian Bakker
Confined Animal Feeding Operations (CAFOs) are becoming increasingly common on the Iowa landscape. It produces large amounts of byproducts that can... Sample PDF
GIS-Based Site Suitability Decision Support System for Planning Confined Animal Feeding Operations in iowa
Chapter 11
Lars Brodersen, Anders Nielsen
The introduction of web-services as index-portals based on geo-information has changed the conditions for both content and form of... Sample PDF
Geo-Communication, Web-Services, and Spatial Data Infrastructure: An Approach Through Conceptual Models
Chapter 12
Fengxian Fan
With the increase in applications for sensor networks, data manipulation and representation have become a crucial component of sensor networks. This... Sample PDF
A Data Visualization and Interpretation System for Sensor Netwroks
Chapter 13
Peter Ibach, Miroslaw Malek, Gerrit Tamm
Frictionless interoperation of business processes even across enterprise boundaries, complete up-to-date view of the overall status, and full remote... Sample PDF
Towards a Global Real-Time Enterprise
Chapter 14
William J. Tolone, Wei-Ning Xiang, Anita Raja, David Wilson, Qianhong Tang, Ken McWilliams
An essential task in critical infrastructure protection is the assessment of critical infrastructure vulnerabilities. The use of scenario sets is... Sample PDF
Minign Critical Infrastructure Information from Municipality Data Sets: A Knowledge-Driven Approach and Its Implications
Chapter 15
Lyn Kathlene
This chapter describes and analyzes the effectiveness of two methodological techniques, cognitive mapping and Geographical Information Systems... Sample PDF
Cognitive Mapping and GIS for Community-Based Resource Identification
Chapter 16
David J. Bruemmer, Douglas A. Few, Curtis W. Nielsen
This chapter presents research designed to study and improve an operator’s ability to navigate or teleoperate a robot that is distant from the... Sample PDF
Spatial Reasoning for Human-Robot Teams
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