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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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knowledge aggregation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "knowledge aggregation" is correct and usable in written English.
It can be used in contexts related to the collection and synthesis of information or data from various sources. Example: "The research team focused on knowledge aggregation to compile the most relevant findings from multiple studies."

✓ Grammatically correct

Science

Formal & Business

News & Media

Human-verified examples from authoritative sources

Exact Expressions

21 human-written examples

Only then can we increase knowledge aggregation and improve development policy making.

This shows the possibilities of using non-expert knowledge aggregation techniques when expert knowledge is unavailable.

We also provide demonstrations where InChI is used in decision support for chemical liability assessment, for tautomer generation, and for knowledge aggregation using a linked data approach.

We demonstrate the utility of InChI with various applications in CDK and Bioclipse, such as decision support for chemical liability assessment, tautomer generation, and for knowledge aggregation using a linked data approach.

Either for historical reasons or for efficiency improvement, a large number of these databases have been purpose-built for capturing data within a particular domain, and without much consideration of trans-domain knowledge aggregation.

The article collection includes research on the coevolution of GEAs and the increasingly solution-oriented governance context; conditions of success for contemporary GEAs; the treatment of divergent viewpoints, stakes and stakeholders in solution-oriented GEAs; knowledge aggregation; and the enhanced measurement of GEA effectiveness in the emerging governance landscape.

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Human-verified similar examples from authoritative sources

Similar Expressions

39 human-written examples

Various Thripidae exhibit sex pheromones (Hamilton et al. 2005; Webster et al. 2006) and alarm pheromones may occur in gall-inducing Phlaeothripinae (De Facci et al. 2013) but to my knowledge no aggregation pheromones are known in thrips, so this possibility may warrant further attention.

The pathway slices thus represent knowledge-based aggregations of individual assay results and serve to highlight bioactivity in cases where singular assay components demonstrated only low-to-moderate potency.

Knowledge of protein aggregation in vivo is of importance due to the possibility of antibody aggregates eliciting an immunogenic response in the patient.

In this paper we describe an approach, called iMOLD, that enables non-technical users to enrich an RDF cube with multidimensional knowledge by discovering aggregation hierarchies in LOD.

In order to prevent α-synuclein aggregation, knowledge of the atomistic structures of possible α-synuclein dimers and the interaction affinity between the dimer domains is a necessary prerequisite in the process of rational design of dimerization inhibitors.

Science

Biochimie
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Expert writing Tips

Best practice

When discussing research or policy, use "knowledge aggregation" to emphasize the process of combining findings from various sources to draw comprehensive conclusions.

Common error

Avoid using "knowledge aggregation" when simply referring to gathering information without synthesizing or integrating it into a cohesive understanding.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "knowledge aggregation" functions primarily as a noun phrase. It refers to the process or result of combining information from different sources. Ludwig AI confirms its usability in English, with several examples illustrating its use in academic and professional contexts.

Expression frequency: Common

Frequent in

Science

70%

Formal & Business

15%

News & Media

15%

Less common in

Ludwig's WRAP-UP

The phrase "knowledge aggregation" is a grammatically correct and commonly used noun phrase that describes the process of combining and synthesizing information from various sources. Ludwig AI's analysis confirms its proper usage across multiple domains, including science, business, and news. The phrase is particularly prevalent in academic and scientific contexts, emphasizing the systematic collection and integration of findings. While alternatives like "information synthesis" and "data consolidation" exist, "knowledge aggregation" specifically highlights the synthesis of insights for a comprehensive understanding. When using this phrase, ensure that it accurately reflects the integration of information, rather than merely the gathering of it.

FAQs

How is "knowledge aggregation" used in academic writing?

In academic writing, "knowledge aggregation" often refers to the systematic collection and synthesis of findings from multiple studies to build a comprehensive understanding of a topic. It is similar to "information synthesis".

What are some alternatives to using "knowledge aggregation"?

Depending on the context, you can use alternatives like "information synthesis", "data consolidation", or "collective knowledge".

Is "knowledge aggregation" the same as "data aggregation"?

While both involve combining information, "knowledge aggregation" typically refers to synthesizing insights and understandings, whereas "data aggregation" focuses on combining raw data for analysis. They are similar, but knowledge aggregation implies a higher level of synthesis.

How does "knowledge aggregation" contribute to policy-making?

"Knowledge aggregation" in policy-making involves gathering evidence and insights from various sources to inform and improve the development and implementation of policies. This helps in creating well-informed and effective strategies. Only then can we improve development policy making.

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Most frequent sentences: