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The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques.
JinnIde is a plugin that allows using Jinni Prolog, now also hosted here on this site (with open source license!), within the confines of an IDE integrated in JEdit.
A 100% Java Warren Abstract Machine implementation.
...However, if you need a Java based Prolog engine for your project I recommend tuProlog and jTrolog as they are at the moment way more mature than jWAM.
Most notable to-do's:
- Built-in predicates.
- Debugging tools.
- Testing.
- Documentation and commenting.
- Android port. (I have the engine working with a test app but I still need to build a proper app).
- Alpha release
Stream-oriented Java library and a set of command line tools for high quality sentence boundary detection. (Sentence segmentation / splitting / disambiguation). Currently has one model for German (trained on general text and Wikipedia lynx dumps).
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
ProDT is a Prolog Integrated Development Environment (IDE) aiming to be as rich in functionality as the Eclipse's java IDE, and to support any standard Prolog implementation. Currently is being supported SWI Prolog, B-Prolog and XSB Prolog
PLUNITTEST is a unit test framework for Prolog. It has been tested with Sicstus prolog. It gives a framework for automated unit testing of prolog programs via continuous integration tools. It outputs an XML file like Junit XML.
Leo is a project to provide an architecture for defining XML
specifications of grammars for different natural language parsing
systems and tools for using that architecture to permit sharing of
grammar resources across different systems.
The Prolog Expert System Shell (PESS) is a software that generates ES using basically two components: Knowledge Base, used by the ES to guide its decisions making, and Inference Machine, cable of collection the rules and generating new facts.