We study the learning models defined in [AKST97]: Learning with equivalence and limited membership queries and learning with equivalence and malicious membership queries. We show ...
In this paper, we propose document-centric query answering, a novel form of query answering for the Semantic Web. We discuss how we have built a knowledge base system to support t...
A distributed system for approximate query answering on sensor network data is proposed, where a suitable compression technique is exploited to represent data and support query an...
This paper addresses the problem of explaining missing answers in queries that include selection, projection, join, union, aggregation and grouping (SPJUA). Explaining missing ans...