Sentence examples for to formulate queries from inspiring English sources
Most systems are based on SQL and require users effectively to have engineering and programming expertise to formulate queries to interrogate the data.
To develop mechanisms to formulate queries over the semantic representation of cancer-related data services available through the cancer Biomedical Informatics Grid (caBIG).
Most legacy BI systems are based on SQL and require users to have engineering and programming expertise to formulate queries to pull out the data and make sense of these insights.
Querying provenance at such low level leads to poor usability of the system: a user needs to know the underlying schema to formulate queries; if the schema changes, queries need to be reformulated; and queries formulated for one system will not run in another system.
The leading approaches to the problem are represented by the systems allowing to formulate queries in the natural language or by the systems that enable the users to create SPARQL-like graph queries without requiring any knowledge of the SPARQL syntax.
We compare our Simple and Hybrid methods with three baseline methods, i.e., TF-IDF [7], BM25 [32], and TextRank [30], all of which extract keywords from the whole text of a screenshot and use them to formulate queries, whose word length ranges in [4,14] too.
We also discuss how to formulate query graphically and in textual form using coupling graph and coupling text, respectively.
We developed a prototype of a flowchart-based analytical framework called RetroGuide that enables non-experts to formulate query tasks using a step-based, patient-centered paradigm inspired by workflow technology.
These early systems required tremendous resources and IT help to pull off, often took years to build, were expensive to build and maintain and complicated to run, requiring experts to help formulate queries and generate answers.
Although images are visual information sources with little or no text associated with them, users still tend to use text to describe images and formulate queries.
In this paper, we introduce a query construction service that resides on top of large-scale web search engines and aims at assisting information seekers formulate queries that are expressive of their search intentions.
