Sentence examples for query statements from inspiring English sources

We evaluate our database schema against query statements and provide examples of how third-party apps can interface with manufacturing machines using the VMM middleware.

There exist many researches on this topic, however, they all ignore evidences about the positions of attributes in query statements, which are crucial to find high-quality matches between schema attributes.

In this paper, we use MetaMap to identify medical terms in query statements.

In the framework of probability model, we extract the medical terms in query statements, measure the weight of these terms with self-information, and reconstruct the query sentences combined with non-medical terms in query statements.

The formal query statements associated is shown in Listings 3 and 4. Check if the robot has a predefined plan to complete a goal.

The annotations can cover aspects such as the relationships, actual column name, lazy fetching of objects, predefined query statements and embedding of entities.

We appeal to a probabilistic relaxation of natural logic – a logic which uses the syntax of natural language as its logical formalism – to define a search problem from the query statement to its appropriate support in the knowledge base over valid (or approximately valid) logical inference steps.

The formal query statement associated is shown in Listing 1.

Hence the query statement takes the shape begin{aligned} p3 = AG [p Rightarrow xge time] end{aligned} (3 Formula 3 checks the correct working of the timed automata.

The formal query statement associated is shown in Listing 2. Check if the services offered by agents are used by other sub-goals.

First, the description of the topic is retrieved directly as a query statement, and the results are used as the baseline (Baseline).