Processing continuous subject queries in individual taxonomic groups with Web of Science tools

Scalable Processing of Multiple Aggregate Continuous Queries

Continuous Processing of Conditional Preference Queries

The problem of incorporating new operators in database query languages for filtering query anwers according to user’s preferences has been attracting much attention in the database community and a lot of research has been dedicated to this topic so far. As far as the topic preferences is concerned, the interest of the database researchers has been focused mainly on extending standard SQL with p...

Optimizing taxonomic semantic web queries using labeling schemes

This paper focuses on the optimization of the navigation through voluminous subsumption hierarchies of topics employed by Portal Catalogs like Netscape Open Directory ODP We advocate for the use of labeling schemes for modeling these hierarchies in order to e ciently answer queries such as subsumption check descendants ancestors or nearest common ances tor which usually require costly transitiv...

Processing Continuous Range Queries with Non-spatial Selections

In this paper, we explore the problem of scalable evaluation of Continuous Range Queries (CRQs) with non-spatial selections, each of which continually retrieves the moving objects that (i) are currently within a specified spatial query region and (ii) satisfy specified non-spatial selections. We propose a new query indexing structure, called the Bit-vector Query Region tree (BQRtree), which ena...

Guidelines to classify subject groups in sport-science research.

PURPOSE The aim of this systematic literature review was to outline the various preexperimental maximal cycle-test protocols, terminology, and performance indicators currently used to classify subject groups in sport-science research and to construct a classification system for cycling-related research. METHODS A database of 130 subject-group descriptions contains information on preexperiment...