Sentence examples for design a query from inspiring English sources

In order to take the benefits of query structure, we design a query processing approach to produce results given a keyword query.

Secondly, for a set of n points in the plane, we design a query data structure for half-plane closest-pair queries that can be built in O(n2log2n) time using O(nlogn) space and answers a query in O(n1/2+ε) time, for any ε>0.

Table 1 and Figure 4 can be used as a guide to design a query for a specific purpose.

The responses to an additional satisfaction questionnaire were positive about the design of the interface and the required procedure to design a query.

In order to enable the reasoning to be effective and decidable, we design a query-answering system that combines order-sorted linear resolution and rigid-property resolution as top-down algorithms.

Our primary contribution is in designing a query strategy that combines novel context information with classification uncertainty and feature similarity.

This paper discusses the issues involved in designing a query language for the Semantic Web and presents the OWL query language (OWL-QL) as a candidate standard language and protocol for query answering dialogues among Semantic Web computational agents using knowledge represented in the W3Cs ontology web language (OWL).

We also designed a query by sample function, in case the specific strain ID in a dataset is meaningful.

We designed a query to extract the relevant data from the HIS and implemented Kaplan-Meier plots based on these data.

We designed a query (query 9) that assessed how many consensus sequences were present in each ligand excluding the pairing of PxxP with RxxPxxP and PxxPx [KR] because these minimotifs are children of PxxP.

We collect hundreds of millions of keyword-based queries; we design a paedophile query detection tool for which we establish false positive and false negative rates using assessment by experts; with this tool and these rates, we then estimate the fraction of paedophile queries in our data; finally, we design and apply methods for quantifying users who entered such queries.