Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a buffering streaming engine for processing top-down XSLT transformations. It consists of an analyzer and a transformer.The analyzer examines given top-down XSLT and XSD, and generates fragments which identify parts of XSD need to be buffered when XSLT is applied. The fragments are passed to the transformer which processes XSLT on an input XML document conforming to XSD. It uses auxiliary memory buffers to store temporary data and buffering is controlled according to the fragments.  describe implementation of the engine within the Xord framework and provide evaluation tests which show that the new engine is much more memory-efficient comparing to the common XSLT processors.
['Jana Dvorakova', 'Filip Zavoral']
I am writing a research paper on a idea Using Input Buffers for Streaming XSLT Processing
[{"from": "human", "value": "I am writing a research paper on a idea Using Input Buffers for Streaming XSLT Processing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a buffering streaming engine for processing top-down XSLT transformations. It consists of an analyzer and a transformer.The analyzer examines given top-down XSLT and XSD, and generates fragments which identify parts of XSD need to be buffered when XSLT is applied. The fragments are passed to the transformer which processes XSLT on an input XML document conforming to XSD. It uses auxiliary memory buffers to store temporary data and buffering is controlled according to the fragments.  describe implementation of the engine within the Xord framework and provide evaluation tests which show that the new engine is much more memory-efficient comparing to the common XSLT processors."}]