Search Results for "ofn-extract-objects.py" - Page 2
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Showing 35 open source projects for "ofn-extract-objects.py"
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The aim of MIEX (Metadata and Information Extractor from small XML documents) is to create a wrapper for the Stanford Parser, to extract and store metadata (syntactic structures, relationships among words...) from simple XML documents.
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Pathfinder is an eclipse-based Enterprise Migration Toolkit. It offers intuitive graphical editors to extract data from various data sources and map it to your target data structure + endless transformation capabilities with the integrated JAVA editor.
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Syncopate is an extension module to the Apache JMeter testing tool. It enhances JMeter's HTTP proxy server by adding functionality to extract variables and create assertions during HTTP request recording.
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The DataExtractor (HTMLtoXML) extracts data from a HTML page according to a configuration file and puts the data into an XML file according to a specified structure. It is a tool to extract data from HTML pages and to store the data in XML files.
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The project main goal is to provide various tools and libraries to manipulate XML documents. The first released library from XMLFoundry is a SAX based information extractor using XPath pattern subsets to define the information one wish to extract.
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This java project solves the problem of not being able to easily extract track and playlist information from the iTunesDB. With a focus on ipod users this project extracts all information from the db and serializes it to XML.
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BibTeXlib is a BibTeX library written in JAVA. You can use it to extract information from BibTeX files, manipulate this information, and save it to BibTeX files.
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A visual Domain-Specific Language for Data Transformations, which generates programs for non-programmer domain-experts. The generated program will extract data from one source and converts it into a meaningful format defined by the user.
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Jdeluxe is an Eclipse Plugin that helps developers to analyse B2B interfaces based on XML Standards. It is designed to be highly adaptable and uses generic XQuery-calls to extract documentation data. Data can be stored in a Web Repository via Web Service
