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knowledge retrieval

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "knowledge retrieval" is correct and usable in written English.
It can be used in contexts related to information science, data management, or cognitive psychology, referring to the process of accessing and obtaining information from memory or databases. Example: "The study focused on the efficiency of knowledge retrieval in educational settings, examining how students access information during exams."

✓ Grammatically correct

Science

Science & Research

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

35 human-written examples

Our results show that when choosing an expert to retrieve knowledge from (knowledge retrieval), expertise seekers will assign greater importance to the person's level of expertise.

In order to improve the performance of knowledge retrieval, this paper proposes an evaluation mechanism using Six Sigma methodology to help developers continuously control the knowledge retrieval process.

The knowledge retrieval evaluation mechanism allows system developers to maintain the knowledge retrieval system with ease and meanwhile enhance the accuracy.

Specifically, this study involves the following tasks: (i) proposes a general knowledge retrieval framework based on the analysis result of knowledge retrieval, (ii) designs the knowledge retrieval evaluation framework using Six Sigma's Define-Measure-Analyze-Improve-Control (DMAIC) process and (iii) develops the related technologies to implement the knowledge retrieval evaluation mechanism.

To test these strategies, we implemented a flexible framework to experiment with knowledge retrieval approaches.

Thus GeoPAT combines knowledge retrieval from patterns with mapping tasks within a single integrated GIS environment.

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Human-verified similar examples from authoritative sources

Similar Expressions

25 human-written examples

In this paper we propose a Knowledge Trace Retrieval (KTR) system.

This paper deals with the knowledge representation, retrieval and reuse supporting the design stage of product families.

On this basis, a smart collaborative system is also designed and developed to streamline the design process as well as to facilitate knowledge capture, retrieval and reuse as users with different roles are working on various tasks within this process.

As a result, they got different types of data by diverse methods (e.g., Likelihood Matrix, Stereotypes, Socialization, Psychological Model, User Explicit Knowledge, and Retrieval).

In biology, the advantages of the Semantic Web are obvious: unique names for biological entities and consistent standards for knowledge representation, retrieval, and processing.

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Expert writing Tips

Best practice

When discussing systems or processes, use "knowledge retrieval" to emphasize the organized and structured access to information within a specific domain or database. For instance, "The efficiency of the "knowledge retrieval" system significantly improved after the database optimization."

Common error

Avoid using "knowledge retrieval" when you actually mean the creation or generation of new knowledge. "Knowledge retrieval" refers to accessing existing information, not developing novel insights. Use "knowledge creation" or "knowledge generation" instead when describing the development of new understandings.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "knowledge retrieval" primarily functions as a noun phrase, often serving as the subject or object of a sentence. It describes the process of accessing stored information. Ludwig provides several examples of its use in scientific and academic contexts, where it typically refers to systematic methods of accessing data.

Expression frequency: Very common

Frequent in

Science

50%

Academia

25%

Science & Research

10%

Less common in

News & Media

5%

Formal & Business

5%

Wiki

0%

Ludwig's WRAP-UP

In summary, "knowledge retrieval" is a grammatically correct and frequently used term, as confirmed by Ludwig. It is primarily a noun phrase used to describe the process of accessing stored information in a structured manner. Its usage is common in scientific and academic contexts, reflecting a formal and technical register. While "information retrieval" is a broader term, "knowledge retrieval" emphasizes the structured and organized nature of the information being accessed. Remember to distinguish "knowledge retrieval" from "knowledge discovery" or "knowledge creation", focusing on access rather than the generation of information.

FAQs

What's the difference between "knowledge retrieval" and "information retrieval"?

"Knowledge retrieval" specifically refers to accessing structured and organized knowledge, often within a specific domain. "Information retrieval" is broader, encompassing the access of any type of information, whether structured or unstructured.

How can I improve the efficiency of "knowledge retrieval" in my organization?

You can enhance "knowledge retrieval" by implementing a well-organized knowledge management system, using clear and consistent metadata, and providing effective search tools. Regular updates and maintenance of the knowledge base are also crucial.

What are some alternative phrases for "knowledge retrieval" in academic writing?

In academic contexts, you might consider using alternatives such as "accessing information", "obtaining knowledge", or "memory retrieval" (if referring to human memory) depending on the specific nuance you wish to convey.

Is "knowledge retrieval" a suitable term for describing how the brain accesses memories?

Yes, in the context of cognitive psychology and neuroscience, "knowledge retrieval" can be used to describe how the brain accesses and recalls stored memories and information. However, "memory retrieval" is a more common and specific term in this field.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: