/PAPER

 1Abstract
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 3A common programming task is data extraction from xml and html documents.  I introduce parsley, an embedded language (ala SQL, regular expressions) that improves the usability and/or speed of current extraction techniques.
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 5Introduction
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 8Today, developers use a couple toolsets to do data extraction.  Many developers use libraries like Hpricot for Ruby and Beautiful Soup for Python.  These libraries allow extraction of xml subtrees via XPath or CSS selectors.  These subtrees are futher refined using the scripting language, often with the help of regular expressions.
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10Other developers use XSLT.  While fast, mature, and conceptually elegant, XSLT
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12- current techniques
13- benefits of standardization
14- best of current
15
16Features
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18- integrated grammars
19  - with some expression examples
20- multiple elements, one pass / context switching
21- exslt / standard library
22- json
23- language integration
24- pruning
25- structural parsing
26
27Examples
28- Ruby/python/json
29- structural parse
30- 
31
32Benchmarks
33- size comparision with XSLT
34- speed comparision with nokogiri, hpricot
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36Conclusion