Search Results for "data capture framework"

One of the requirements of current Semantic Web applications is to deal with heterogenous data. Data represented and stored using the Extensible Markup Language (XML) is almost ubiquitous and is the standard for data exchange. Resource Description Framework (RDF) is the W3C recommended standard for data representation. Being able to work with these two languages using a common framework is a great advantage and eliminates several unnecessary steps that are currently used when handling both formats.

PHDL is an HDL that functions as an alternative to mainstream graphical schematic capture tools. The language is compiled into a pcb netlist which can then be imported into a layout tool. We are currently on version 2.1 of the tool. We have created an eclipse plugin version of the tool as well as a standalone command-line based version. Both function identically and output a netlist that can be imported into a pcb layout tool. VHDL revolutionized how FPGA designs and digital logic...

Framework library with diverse applications. Assembles data components into trees based on the developer's implementation. Adaptable to automatically parse and export documents, markup files, scripts, and source code. Easily integrated with GUIs.

The SrcML Framework allows converting Sourcecode to a XML representation on which tools can then be used to deduce statical data for analyzing and visualizing the initial source. It also provides easy ways to write programs which modify other programs.

Xml Data Objects: A framework to declaratively parse XML

ByteML is a XML-JavaBytecode interoperability framework. With the aid of this framework the end-user can convert bytecode ( Java .class files ) to XML files and vice-versa.

Flow4J is a java framework, that enables the user to model process flow with a gui interface. The flow may include tasks, decisions or calls to other process flows. The saved flow is in a jar file together with its bytecode.

A framework for data-flow based program analysis, implemented as a set of Java APIs. By using this framework, researchers and developers can easily implement analyses, test their correctness, and evaluate their performance. In addition, the framework all