Abstract
XML is widely used today. How to parse XML documents and manipulate XML data are very important tasks and popular topics in the software industry. There are several ways of handling XML data today. One of them is to turn an XML document into a tree structure of data. The most popular API of this model is W3C Document Object Model (DOM). But what DOM provides is a generic data model rather than a problem-specific model, which makes it complicated and inefficient. And in many cases, programmers don't use the generic data model. More often, they need an object model that is specific to a particular problem. This is where this project comes in. The purpose of this project is to develop an application that turns XML sources of a particular schema into a Problem-Specific Document Object Model (PSDOM). This application contains an XML styled, user-friendly Class Definition Language. It contains a CDF compiler that compiles Class Definition Files (CDF) into observers and element classes. It also has a binding framework that uses the "observer" idea from Dr. Schreiner's "oops" project to un-marshal XML documents into problem-specific object trees. Compare to the W3C DOM, this model is lightweight. It parses XML documents more efficiently. And this model makes it easier to create applications processing XML data. Compare to the Sun's JAXB, this model gives users more flexibility in controlling of the mapping. The mode is clearer and more understandable by separating the code of parsing XML documents from the code of building user applications.
Publication Date
2006
Document Type
Master's Project
Student Type
Graduate
Department, Program, or Center
Computer Science (GCCIS)
Advisor
Schreiner, Axel
Advisor/Committee Member
Heliotis, James
Advisor/Committee Member
Carithers, Warren
Recommended Citation
Zhu, Liangxiao, "An application to create problem-specific document object models for XML" (2006). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/6884
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2013.