Optimizing Meta Data for Consumption by Both Humans and Machines
XML instance documents are meant for consumption by both humans and machines. The tags used in XML instance documents are nothing but meta data of the data they enclose. The tags are more human-friendly when they are more descriptive in nature. However, longer tags have significant impact when it is consumed by computers especially in the case of large XML files which is the case in most of the practical applications. When the tags are more descriptive they are more human-friendly but resource intensive in terms of processing and storage. When the tags are abbreviated too much they become machine friendly, but make it harder to comprehend for the human consumers such as software developers. This paper presents the effects of tag sizes on computer resources and explores ways to optimize the tag sizes so that they are easier for the humans to comprehend and machines to process.
Keywords: XML Tags, Meta Data, XML Data Processing
Research Scholar, Department of Applied Mechanics, Indian Institute of Technology
Prof. Ramakrishnan Catti Venkatesalu
INAE Distinguished Emeritus Professor, Department of Applied Mechanics, Indian Institute of Technology