Sentence examples for query answer from inspiring English sources
where n R is the number of elements considered in the query answer.
Such measurements may unpredictably forge a query answer, while truthful but abnormal mote samples may indicate undergoing phenomena.
CI-Rank is built upon a carefully designed model called Random Walk with Message Passing that helps capture the relationships between different nodes in the query answer.
OWL-QL is a formal language and precisely specifies the semantic relationships among a query, a query answer, and the knowledge base(s) used to produce the answer.
In this paper, we propose CI-Rank, a new approach to keyword search in databases, which considers the importance of individual nodes in a query answer and the cohesiveness of the result structure in a balanced way.
While diversification of query results, like other data summarization techniques, provides users with quick insights into the huge query answer space, it adds additional complexity to an already computationally expensive data exploration task.
However, they only support exact query answering.
On the other hand, flexible query answering offers mechanisms to intelligently answer user queries going beyond conventional exact query answering.
Query generalization is one way to implement flexible query answering.
In general, any flexible query answering approach incurs a certain performance overhead compared to exact query answering.
The area of flexible query answering (sometimes also called cooperative query answering) has been studied extensively for single server systems.
