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In computer science, marshalling or marshaling (US spelling) is the process of transforming the memory representation of an object into a data format suitable for storage or transmission, especially between different runtimes.[citation needed] It is typically used when data must be moved between different parts of a computer program or from one program…
The analysis highlights Art and Science as prominent areas in the source structure around Marshalling (computer science).
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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See recurring relationship patterns around Marshalling (computer science) before inspecting the individual extracted relationships.
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xml object marshalling data java used jaxb serialization unmarshal unmarshalling process different objects bind one element representation marshal remote class
TTTA extracted 9 structured relationships around Marshalling (computer science). Examples in this analysis include Python → instance of → although sometimes both ends of the process trigger specific business logic.The accurate definition of marshalling differs across programming languages and JSON → instance of → Alternative formats. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Python | instance of | although sometimes both ends of the process trigger specific business logic.The accurate definition of marshalling differs across programming languages | 0.80 | text |
| Java | instance of | although sometimes both ends of the process trigger specific business logic.The accurate definition of marshalling differs across programming languages | 0.80 | text |
| and .NET | instance of | although sometimes both ends of the process trigger specific business logic.The accurate definition of marshalling differs across programming languages | 0.80 | text |
| and in some contexts | instance of | although sometimes both ends of the process trigger specific business logic.The accurate definition of marshalling differs across programming languages | 0.80 | text |
| is used interchangeably with serialization | instance of | although sometimes both ends of the process trigger specific business logic.The accurate definition of marshalling differs across programming languages | 0.80 | text |
| JSON | instance of | Alternative formats | 0.80 | text |
| ajava.io.File | instance of | The unmarshal methods defined in thejakarta.xml.bind.Unmarshallerclass are overloaded to accept XML from different types of input | 0.80 | text |
| java.io.FileInputStream | instance of | The unmarshal methods defined in thejakarta.xml.bind.Unmarshallerclass are overloaded to accept XML from different types of input | 0.80 | text |
| orjava.net.URL | instance of | The unmarshal methods defined in thejakarta.xml.bind.Unmarshallerclass are overloaded to accept XML from different types of input | 0.80 | text |
The concept neighborhoods around Marshalling (computer science) bring nearby vocabulary together. In this analysis, examples include Serialization, Used and One. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Marshalling (computer science), one of the stronger structural bridges in this analysis connects Marshalling (computer science) with Usage and examples. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Marshalling (computer science) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Marshalling (computer science) · EN edition · Analysis: TopicsToTalkAbout