The phrase "a query statement" is correct and usable in written English.
It can be used in contexts related to databases, programming, or any situation where a question or request for information is being made.
Example: "To retrieve the desired data, you need to write a query statement that specifies the parameters of your search."
Alternatives: "a search query" or "a request statement".
Our interest has been spurred by work in information retrieval, where BINs have been used to rank textual documents in decreasing probability of relevance to a user-defined query statement.
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.
The specific process is as follows: Firstly, with regard to the original query statement Qorigin, the weight distribution among the words that constitute the query Qorigin is averaged, and the query clause 1 is obtained.
According to the above construction process, the weight of medical term M x in the whole query statement is obtained from the query clause 1 and the query clause 2. The method of computation is formula (8) as follows: {w}_x^{prime }=alpha ast frac{left|{M}_xright|}{left|{Q}_{mathrm{origin}}right|}+left 1-alpha right)ast frac{w_x}+left 1-alphaw}_x} (8).
where ∣M x ∣ is the length of the medical terms, ∣Qorigin∣ is the length of the original query statement, and the weight of the words that is not the medical term in the original query Qorigin is the same as α/Qorigin.
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.
