Download JAR files tagged by semi with all dependencies

Contains the bootstrap code to bridge separate JVMs into a single semi-shared space. Reusable outside Hudson.

Contains the bootstrap code to bridge separate JVMs into a single semi-shared space. Reusable outside Hudson.

MAPLE (MAPping Architecture based on Linguistic Evidences) is an architecture and a software platform for the semi-automatic configuration of robust matching systems based on linguistic evidences and exploiting web published (linguistic) resources.

Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS.

Configuration Utilities. NOTE: This module is deprecated and will be removed at the end of the v2.x versions of the utilities. Preferred config system after that is either to use true type-safe config with `net.morimekta.providence:providence-config` or to use a simple JSON or YAML library or java properties files. The semi-typesafe layered config did not really solve the problems I had hoped it would, and in essence this was just a helper for merging maps and getting pre-cast values out of it.

Perspectives, in this case, are snap-in applications that plug into the main application and share the login information, locale etc of the surrounding application. That means the subapplications don't have to worry about those issues and can be simpler. It also means you can construct a semi-dynamic workspace with plugged in apps that share a common look and feel (another thing that is set globally) and can even communicate with each other.

The HTTP server module (ks-server-http) implements the Web API of the KnowledgeStore, which includes the two CRUD and SPARQL endpoints. The CRUD Endpoint supports the retrieval and manipulation of semi-structured data about resource, mention, entity and axiom records (encoded in RDF, possibly using JSONLD), and the upload / download of resource representation. The SPARQL Endpoint supports SPARQL SELECT, CONSTRUCT, DESCRIBE and ASK queries according to the W3C SPARQL protocol. The two endpoints are implemented on top of a component implementing the KnowledgeStore Java API (the Store interface), which can be either the the KnowledgeStore frontend (ks-frontend) or the Java Client. The implementation of the module is based on the Jetty Web sever (run in embedded mode) and the Jersey JAX-RS implementation. Reference documentation of the Web API is automatically generated using the Enunciate tool.