Semantic Web, Data Mining, and Security
Bhavani M. Thuraisingham, Latifur R. Khan, Murat Kantarcıoğlu · IEEE Intelligent Systems · 2010
Data has become such a critical resource in many organizations that efficiently accessing the data, sharing it, extracting information from it, and making use of that information has become an urgent need. Hence, it is necessary to protect data and information from unauthorized access as well as from malicious corruption. In recent years, many efforts have researched security informatics, which looks at how to integrate security technologies and information technologies.1 The advent of the Web in the mid-1990s resulted in an even greater demand for effectively managing data, information, and knowledge. There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. New tools and techniques are needed to effectively manage this data. Therefore, Tim Berners Lee conceived the Semantic Web to provide interoperability as well as to ensure machine-understandable webpages.2 Furthermore, as information becomes unmanageable, we need data mining techniques to analyze the information and extract the nuggets often previously unknown. Our discussion here focuses on this pressing need and how researchers might integrate security technologies with Semantic Web and data mining information technologies. Along this line, we also discuss inference control and policy specifications as well as privacy-preserving data mining techniques.