Several complementary technologies are associated with RDF. As previously discussed, the most common technique to serialize RDF data is via RDF/XML, so influences on XML are likewise influences on RDF. However, other specifications and technologies also impact on, and are impacted by, the ongoing RDF efforts.
Though not a requirement for RDF/XML, you can use XML Schemas and DTDs to formalize the XML structure used within a specific instance of RDF/XML. There's also been considerable effort to map XML Schema data types to RDF, as you'll see in the next several chapters.
One issue that arises again and again with RDF is where to include the XML. For instance, if you create an RDF document to describe an HTML page resource, should the RDF be in a separate file or contained within the HTML document? I've seen RDF embedded in HTML and XML using a variety of tricks, but the consensus seems to be heading toward defining the RDF in a separate file and then linking it within the HTML or XHTML document. Chapter 3 takes a closer look at issues related to merging RDF with other formats.
A plethora of tools and utilities work with RDF/XML. Chapter 7 covers some of these. In addition, several different APIs in a variety of languages, such as Perl, Java, Python, C, C++, and so on, can parse, query, and generate RDF/XML. The remainder of the second section of the book explores some of the more stable or representative of these, including a look at Jena, a Java-based API, RAP (RDF API for PHP), Redland's multilanguage RDF API, Perl and Python APIs and tools, and so on.