Resource selection is an important task in Federated Search to select a small number of
most relevant information sources. Current resource selection algorithms such as GlOSS …

This article introduces an architecture for a document-partitioned search engine, based on a
novel approach combining collection selection and load balancing, called load-driven …

We propose a new integral-based source selection algorithm for uncooperative distributed
information retrieval environments. The algorithm functions by modeling each source as a …

In this thesis, we present a distributed architecture for a Web search engine, based on the
concept of collection selection. We introduce a novel approach to partition the collection of …

The notion of collection plays a key role in Digital Libraries, where several kinds of
collections are typically found. We claim that all these kinds can be unified into a single …

Digital libraries represent the meeting places for knowledge providers and knowledge
consumers supporting and enhancing the process through which knowledge is created …

Fabrication and performance of high-frequency 0.3-μm gate-length depletion-mode
metamorphic Al 0.50 In 0.50 As/Ga 0.47 In 0.53 As high electron mobility transistors …

Collection selection is traditionally a sub-problem of meta-search, and identifies collections
most likely to contain relevant documents. However, we propose to treat collection selection …

The Internet has become a vast information source in recent years. Searching the desired
information or document via internet is one of the most important issues. Every search …

Collection selection and result merging are two major sub-problems in the field of distributed
information retrieval (DIR). Computing cost, retrieval precision and retrieval recall are three …