Simple RDFa parser and dictionary-like interface.
Project description
- Date:
- 2006-11-21 11:23:54 -0500 (Tue, 21 Nov 2006)
- Version:
- 4737
- Organization:
- Creative Commons
- Copyright:
- 2006, Nathan R. Yergler, Creative Commons; licensed to the public under the MIT license.
Installation
rdfadict and its dependencies may be installed using easy_install (recommended)
$ easy_install rdfadict
or by using the standard distutils setup.py:
$ python setup.py install
If installing using setup.py, lxml will also need to be installed.
Usage
rdfadict parses RDFa metadata encoded in HTML or XHTML documents. It can parse a block of text (as a string), or a URL. For example, given the following block of sample text:
>>> rdfa_sample = """ ... <h1 property="dc:title">Vacation in the South of France</h1> ... <h2>created ... by <span property="dc:creator">Mark Birbeck</span> ... on <span property="dc:date" type="xsd:date" ... content="2006-01-02"> ... January 2nd, 2006 ... </span> ... </h2>"""
We’ll import pprint so our output is reasonably formatted:
>>> from pprint import pprint
Triples can be extracted using rdfadict:
>>> import rdfadict >>> base_uri = "http://example.com/rdfadict/" >>> parser = rdfadict.RdfaParser() >>> triples = parser.parsestring(rdfa_sample, base_uri)
We define the variable base_uri to let the parser know what URI assertions without subjects apply to.
Based on our example text, we expect to get three triples back – title, creator and date. Triple are indexed as a dictionary, first by subject, then by predicate, finally retuning a list of objects. For example, a list of all subjects is retrieved using:
>>> triples.keys() ['http://example.com/rdfadict/']
If assertions were made about resources other than the default, those URIs would appear in this list. We can verify how many predicates were found for this subject by accessing the next level of the dictionary:
>>> len(triples['http://example.com/rdfadict/'].keys()) 3
Finally, we can retrieve the value for the title by fully dereferencing the dictionary:
>>> triples['http://example.com/rdfadict/'][ ... 'http://purl.org/dc/elements/1.1/title'] ['Vacation in the South of France']
Note that the objects are stored as a list by the default triple sink.
Triple Sinks
rdfadict uses a simple interface (the triple sink) to pass RDF triples extracted back to some storage mechanism. A class which acts as a triple sink only needs to define a single method, triple. For example:
class StdOutTripleSink(object): """A triple sink which prints out the triples as they are received.""" def triple(self, subject, predicate, object): """Process the given triple.""" print subject, predicate, object
The default triple sink models the triples as a nested dictionary, as described above. Also included with the package is a list triple sink, which stores the triples as a list of 3-tuples. To use a different sink, pass an instance in as the sink parameter to either parse method. For example:
>>> parser = rdfadict.RdfaParser() >>> list_sink = rdfadict.SimpleTripleSink() >>> parser.parsestring(rdfa_sample, base_uri, sink=list_sink) [('http://example.com/rdfadict/', 'http://purl.org/dc/elements/1.1/title', 'Vacation in the South of France'), ('http://example.com/rdfadict/', 'http://purl.org/dc/elements/1.1/creator', 'Mark Birbeck'), ('http://example.com/rdfadict/', 'http://purl.org/dc/elements/1.1/date', '2006-01-02')] >>> len(list_sink) 3
Note that the parse method returns the sink used. Since the sink we’re using is really just a list, the interpreter prints the contents upon return.
Limitations and Known Issues
rdfadict currently does not implement the following areas properly:
Namespaces are expanded, but the triples passed to the sink are fully qualifed. The sink should receive some notification of namespaces (or be able to assert whether it wants to have shortened or fully qualified triples URIs passed in).
The class attribute (used to make rdf:type assertions) is not parsed.
The type attribute (used to assert the datatype) is not implemented.
Subject resolution for <meta> and <link> tags (which does not traverse up the entire DOM tree) is not correctly implemented.
Change History
0.2 (2006-11-21)
Directly subclass list and dict for our sample triple sinks
Additional package metadata for PyPI
Additional documentation of sink interface and tests for the SimpleTripleSink
0.1 (2006-11-20)
Initial public release
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