In this paper, an introduction and survey over probabilistic information retrieval (IR) is given.
First, the basic concepts of this approach are described: the probability-ranking principle …

We present a probabilistic relational algebra (PRA) which is a generalization of standard
relational algebra. In PRA, tuples are assigned probabilistic weights giving the probability …

The information to be stored in databases is not always precise and certain, and,
occasionally, some information might be missing altogether. 1 When the available …

Repositories of multimedia objects having multiple types of attributes (eg, image, text) are
becoming increasingly common. A selection on these attributes will typically produce not just …

Repositories of multimedia objects having multiple types of attributes (eg, image, text) are
becoming increasingly common. A query on these attributes will typically, request not just a …

We have measured the cross section for quasielastic 1 p-shell proton knockout in the 16 O
(e, e′ p) reaction at ω= 0.439 GeV and Q 2= 0.8 (GeV/c) 2 for missing momentum P miss≤ …

This chapter will present the use of fuzzy set theory in databases. Particular emphasis is on
the relational data model and possibility and similarity based approaches to representation …

Described are techniques for ranking a data set of objects. A graph representing the data set
is provided. Examples of ranking preferences are provided for a portion of objects in the data …

In this paper, the interest of fuzzy sets and possibility theory in the context of databases is
presented. It is shown that these" notions provide an homogeneous framework for both the …

A Multimedia Information System (MMIS) is a repository for all types of electronically
representable data [4]. Conventional databases provide a large set of operations for retrieval …