A basic parser and a set of simple utilities to parse N-Triples data.
N-Triples provides a simple format for representation of Semantic Web/W3C RDF semantic data. CL-NTRIPLES provides a simple and easy to use parser for Common Lisp applications.
Check the project Wiki (see link above) for additional documentation.
This is a parser in Java for Lisp S-expressions. An S-expression or sexp (for symbolic expression) is a convention for representing data using parentheses.
xindy is an index processor that can be used to generate book-like indexes for arbitrary document-preparation systems. This includes systems such as TeX and LaTeX, the roff-family, and SGML/XML-based systems (e.g., HTML).
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The Integrating Modelling Toolkit (IMT) is a generic, comprehensive, and extensible set of abstractions allowing definition and use of interoperable XML-specified model components.
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
Set of tools and libs for
managing structured data
in a very flexible way:
Imp./Exp. ASCII, XML, SQL,
PS, Tex/LaTex, RTF
GUI: X-Windows, MS-Windows
Interface to C++, DBs, Perl,
PHP, Java, TCP/IP
LISP-like interpreter
written in C++ using C-LIB
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RefLisp is a small Lisp interpreter written in C++. It has:
an built-in web server, Wiki, LISP server pages, SQL Databases, XMLparser, MD5 hashing, regular expressions, reference counting and mark-sweep garbage collection, GPL.
A C++ interface for Common Lisp. Includes a c++ language parser to generate C code and lisp code that uses CLOS and UFFI to interface with the C and C++ code.
XLSP is a lisp based dynamic XML management facility. It is currently usable with Allegro CL and LispWorks implementations. It's implementation is in two parts: XMLP for general XML processing, and XLSP for managing interactions with web servers.
ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.