–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...
We study the problem of querying data sources that accept only a limited set of queries, such as sources accessible by Web services which can implement very large (potentially inf...
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...
Caching issues in meta-search engines are considered. We propose a popularity-driven cache algorithm that utilizes both popularities and reference counters of queries to determine ...
This work introduces a new query inference model that can access data and communicate with a teacher by asking finitely many boolean queries in a language L. In this model the pa...