Bloom-Based Filters for Hierarchical Data

In this paper, we present two novel hash-based indexing structures, based on Bloom filters, called Breadth and Depth Bloom filters, which in contrast to traditional hash-based indexes, are able to summarize hierarchical data and support regular path expression queries. We describe how these structures can be used for resource discovery in peer-to-peer networks. We have implemented both structures and our experiments show that they both outperform simple Bloom filters in discovering the appropriate resources. 1