We investigate the idea of finding semantically related search engine queries based on their temporal correlation; in other words, we infer that two queries are related if their p...
We study the problem of SPARQL query optimization on top of distributed hash tables. Existing works on SPARQL query processing in such environments have never been implemented in a...
Abstract: We propose a framework for the specification of extensible database systems. A particular goal is to implement a software component for parsing and rule-based optimizatio...
When querying a temporal database, a user often makes certain semantic assumptions on stored temporal data. This paper formalizes and studies two types of semantic assumptions: po...
Claudio Bettini, Xiaoyang Sean Wang, Elisa Bertino...
This paper explores the use of social annotations to improve web search. Nowadays, many services, e.g. del.icio.us, have been developed for web users to organize and share their f...