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University of WindsorScholarship at Windsor Electronic Theses and Dissertations2016Accommodating prepositional phrases in a highly modular natural language query interface to semantic web triple stores
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How to fill out an extensible natural-language query

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To fill out an extensible natural-language query, follow these steps:
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- Start by understanding the purpose of the query and the desired outcome.
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- Identify the key information that needs to be included in the query.
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- Begin drafting the query by using clear and concise language.
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- Use simple sentence structures to ensure clarity.
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- Consider including relevant keywords and phrases that capture the essence of the query.
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- Avoid using ambiguous terms or jargon that may confuse the query's intent.
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- Break down complex queries into smaller, more manageable parts if needed.
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- Review and revise the query for accuracy and completeness.
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- Test the query to ensure it generates the desired results.
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- Make adjustments as necessary based on the feedback and improve the query over time.

Who needs an extensible natural-language query?

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Various individuals and organizations can benefit from using an extensible natural-language query, including but not limited to:
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- Researchers and academics who require efficient ways to access relevant research papers and studies.
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- Decision-makers and executives who rely on data-driven insights to make informed business decisions.
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- Developers who are building applications and tools that involve natural language processing and querying.
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- Anyone who wants to interact with data and information in a more intuitive and user-friendly manner without the need for technical language or complex query syntax.
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An extensible natural-language query is a query that can be easily modified or extended to search for different types of information using natural language.
Anyone who needs to search for information in a database or system using natural language may be required to file an extensible natural-language query.
To fill out an extensible natural-language query, one must input the search criteria in the form of natural language, and the query will return the relevant information.
The purpose of an extensible natural-language query is to make it easier for users to search for information in a database or system by using natural language instead of complex queries.
The information reported on an extensible natural-language query will depend on the specific query, but typically it will include search terms, filters, and any other criteria specified by the user.
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