|Title||Template Based Semantic Similarity for Security Applications|
|Year of Publication||2005|
|Authors||Amit Sheth, Ismailcem Budak Arpinar, Satya S. Sahoo, Christian Halaschek-Wiener, Boanerges Aleman-Meza|
Today's search technology delivers impressive results in finding relevant documents for given keywords. However many applications in various fields including genetics, pharmacy, social networks, etc. as well as national security need more than what traditional search can provide. Users need to query a very large knowledge base (KB) using semantic similarity, to discover its relevant subsets. One approach is to use templates that support semantic similarity-based discovery of suspicious activities, that can be exploited to support ...
|Full Text|| |
Boanerges Aleman-Meza, Christian Halaschek-Wiener, Satya Sanket Sahoo, Amit P. Sheth, and Ismailcem Budak Arpinar (Eds.), Template Based Semantic Similarity for Security Applications, Lecture Notes in Computer Science, Vol. 3495, Springer, April 2005, pp. 621Â622.