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Sometimes multiple sources provide a fuller picture when taken together, such as when source A points out the reaction to a particular event in one country while source B covers the reaction to the same event in a second country. Sometimes it will be good encyclopaedic writing to combine the information from the two sources into a single sentence.
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies.
Lower order skills would involve for instance being able to use an online catalog to find a book relevant to an information need in an academic library. Higher order skills would involve critically evaluating and synthesizing information from multiple sources into a coherent interpretation or argument. [57]
Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. Data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage at which fusion takes place. [ 1 ]
Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation).. Compared to information integration, which involves merging information having different schemas and representation models, knowledge integration focuses more on synthesizing the understanding of a given subject from different perspectives.
Information integration theory was proposed by Norman H. Anderson to describe and model how a person integrates information from a number of sources in order to make an overall judgment. The theory proposes three functions .
Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations. It is used in data mining and consolidation of data from unstructured or semi-structured resources.
Ontology-based data integration involves the use of one or more ontologies to effectively combine data or information from multiple heterogeneous sources. [1] It is one of the multiple data integration approaches and may be classified as Global-As-View (GAV). [2]