This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presente...
In this paper we discuss the management of semi-structured data, i.e., data that has irregular or dynamically changing structure. We describe components of the Stanford Tsimmis Pr...
Joachim Hammer, Jason McHugh, Hector Garcia-Molina
The use of domain-specific metadata (subject keywords) is tested for monolingual and bilingual retrieval on the GIRT social science collection. A new technique, Entry Vocabulary Mo...
Our research explores a new database extension. Our aim is to see how far it is possible to support collaborative editing and document provenance with database technology, and exte...
We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly dat...
Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubs...