[XSL-LIST Mailing List Archive Home] [By Thread] [By Date] [Recent Entries] [Reply To This Message] Searching for values in XML using XSL using Saxon
Good day, I am trying to write a system on a pure XML data store. There are various reasons for doing this, but the most important is that I am always transforming the results, and because the system's data structure is dynamic an hierarchical, so XML is a lovely fit. One part of my data will be large vocabularies of data, like dictionaries, and I would like to know from the experts if I'm going to run into trouble in the long term and should rather move to a relational database solution with proper indexing etc. I intend to use Saxon, simply because it's written in Java, it supports XSLT 2.0 and Michael has a good history of sticking behind his product. Other options may be using XML databases, but the visibility provided by free standing XML files compared to an administrator console to a database is nice. The data will look something like this: <topic> <name>hamburger</name> <related-topics><topic-ref>food</topic-ref><topic-ref>dead-cows</topic-ref><t opic-ref>health</topic-ref> <keywords>burger, ketchup, mustard, hungry</keywords> <description>Hamburgers are nice, but are not always good for your health. They are especially bad for the health of the cow, but this is o.k. if you don't know the cow</description> </topic> These topics will be built on the fly during chatroom conversations, so the related-topics and keywords will not be known before hand. Yet, it's the related-topics and keywords, that will be used on-the-fly to find matching topics, and format them into diargrams and charts etc. In a couple of month's time there will be thousands of topics, so I am looking for a way to do this that will scale. Another problem is that some topics may be different in structure, e.g. a topic on cars may have a <max-speed> element, while one on houses may have a <price>, again another reason why a dynamic hierarchical data store makes more sense than a traditional relational database. If someone can give me some advice, or suggest an efficient search on something like the keywords, I will be very grateful. Kind regards, Jacobus
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