Instead, when the Java application launches, it creates a SAX2 parser and registers itself as a listener for declaration and lexical events.
The DtdAnalyzer does not read DTD files directly. Work is continuing to migrate XSLTs developed for the PMC and SAGE versions into the new open source project.
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The two main forks of the code (the PMC version and the SAGE Publications version) were then merged together under this GitHub project.Īt the time of this writing, the GitHub project contains the normative version of the application. In 2012, Maloney released a new version of the code as an open source project on GitHub. The first version of the tool remained in use at PMC and Chris Maloney eventually took a lead role in refactoring the application. This second version of the DtdAnalyzer eventually migrated to SAGE Publications, an STM publisher based in California, after Hess left PMC in late 2005. Hess later refactored the Java code to make a tool that would help the National Library of Medicine (NLM) document its suite of DTDs. Other members of the PMC data transformation group began to develop XSLTs to manipulate the output from the DtdAnalyzer tool, thus adding to the pool of available scripts. Written in Java, the first version of the application converted the publisher's DTD to an XML representation from which lists of elements and attributes could be extracted. Specifically, Hess was writing a script to convert publisher content to the NLM Archiving DTD and wanted to make a list of all the elements and attributes used in both the source and target schemas. In general, we have found that the main uses for the DtdAnalyzer fall into three broad areas:ĭemian Hess, one of the authors of this paper, developed an early version of the DtdAnalyzer in 2004 to aid in the creation of XSLT scripts at PubMed Central (PMC). Indeed, the simplified output is very useful when working with highly modular, parameterized DTDs like JATS and DocBook, since it allows users to view the final content model, including all customizations.
While the DtdAnalyzer output lacks the completeness of the DTDInst format, it is much less complicated and thus can be easier to transform and use. In other words, the output represents the final view of the DTD after the parser has removed IGNORE sections, expanded parameter entities, and resolved multiple entity declarations. In contrast to DTDInst, the DtdAnalyzer creates a lightweight representation of the post-parse DTD instance. A major difference, however, is that DTDInst focuses on preserving all aspects of the DTD, including parameter entities, include and ignore sections, and overridden entity declarations. Like DTDInst, DtdAnalyzer converts DTDs into an XML representation. Of all these tools, DTDInst is the closest in intent to the DtdAnalyzer project described in this paper. 2 DTDInst, a sub-project of Trang, will convert DTDs into an XML representation that can then be analyzed and further manipulated. 1 Trang, still widely used, will convert XML DTDs into Relax NGs and XML Schema Documents (XSDs). Near and Far, now out of business, allowed users to create DTDs by drawing graphs on a graphical user interface. **Ī much smaller set of tools exists to programmatically manipulate DTDs. Open source projects that are still being maintained include DTDDoc (Java) * and LiveDTD (Perl).
The majority of the tools that are available focus on converting DTDs into human readable documentation. One drawback to DTDs, however, has been the lack of tools that enable DTDs to be read and manipulated programmatically. Despite the rise of alternate schema technologies, XML DTDs have proven to be resilient and remain widely used in the publishing industry.
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