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Plugin to connect XML data sources to the GIN Server
The GIN Server is a semantic middleware for efficient "bottom-up" data integration and automized semantic analysis for dynamically linked data. The XML Content Provider is a configurable plugin for the GIN Server to integrate any XML data source with a simple structure.
Program to transform any XML document to a RDF one.
Some scenarios for neuroinformatics experiments are saved in standard XML document. This program should be able to parse almost any scenario so far to make a full-valuable RDF file, where every pieces of scenario has their own URI.
This project is from University of West Bohemia in Czech republic, required to Fundamentals of Software Engineering (KIV/ZSWI).
Memomics Forge is a meta-project for software that utilizes the Memomics Semantic Service.
Memomics Semantic Service provides semantic data which can be embedded in applications via webservices.
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Semantic Web pipes is powerful data level mashup tools based on RDF.Semantic Web pipes are defined in XML and when executed they fetch RDF graphs on the Web, operate on them, and produce an RDF output which is itself accessible via a stable URL.
Meta-Messager: A project that aims to develop a Semantic Web based framework for semantic annotation of B2B message schemas (e.g. XML, EDIFACT, ASN.1) and translation of B2B messages to and from business ontologies.
Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
Share IT is a peer to peer client that adds semantic support to file sharing, routing, discovery as well as trust management. It proposes to use an Integration of Reputation-based and semantic Policy-based Trust management to manage these services.
Relational.OWL automatically extracts the semantics of virtually any relational database and transforms this information automatically into RDF/OWL, processable by a wide majority of Semantic Web applications.
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The Jorne project develops software and open standards for linking Lojban text with WWW and Semantic Web metadata (e.g. RDF/N3, RSS, XML). Lojban is an artificial spoken and written language based on predicate logic.
This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP.
Implementations are in various languages, mainly Java, Python, and Ruby.