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In computing, Xerces is Apache's collection of software libraries for parsing, validating, serializing and manipulating XML. The library implements a number of standard APIs for XML parsing, including DOM, SAX and SAX2. The implementation is available in the Java, C++ and Perl programming languages.
Standards & Overview
Explore the main themes, entities and connections around Apache Xerces. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
xerces xml java implemented edition implementation parsing library language apache software perl versions features parser license computing apis dom sax
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Apache Xerces | Developer | Apache Software Foundation | 1.00 | infobox |
| Apache Xerces | License | Apache License 2.0 | 1.00 | infobox |
| Apache Xerces | Operating system | Cross-platform | 1.00 | infobox |
| Apache Xerces | Stable release | 2.12.2 (Xerces J) 3.2.3 (Xerces C++) / 24 January 2022 (Xerces J) 10 April 2020 (Xerces C++) | 1.00 | infobox |
| Apache Xerces | Type | XML parser library | 1.00 | infobox |
| Apache Xerces | Website | xerces.apache.org | 1.00 | infobox |
| Apache Xerces | related to External links | Apache Xerces Project | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.