This recently released Wiley-IEEE book edited by Robert L. Popp and John Yen includes a chapter that I co-wrote with John Karat from IBM Research.
Here is the link, should you be interested in ordering this book:
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471776157.html
Our chapter is entitled "Anonymized Semantic Directories: A Privacy-Enhancing Architecture for Enterprise Discovery."
In this chapter we describe the importance of having catalogs (directories) for discovery (as required to solve the Information Sharing Paradox). Furthermore, we introduce the concept of using anonymized catalogs to provide this functionality while reducing the risk of unintended disclosure. Key attributes of this architecture include: a) avoidance of a large central data warehouse, b) use of a central index with pointers, c) use of anonymized data during information correlation, and d) use of audit logs. Additionally, the notion of "accumulating context at ingestion" is stressed as a key component for such a catalog in order to enhance accuracy when dealing with real-time data streams.
This chapter also claims one can find more needles by observing more hay. If this strikes you as odd, my blog post entitled More Data is Better, Proceed With Caution may shed some light on this observation.
This is my first book chapter ever – made possible by John Karat’s contributions. Thank you, John.
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