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a tool for easing the ontologies editing and evolution (Semantic Web)
The DLP tool was ideated and developed by:
Dr. Luca Mazzola, MsC. Patrick Kapahnke, and PD Dr. Matthias Klusch
at the German Research Center for ArtificialIntelligence DFKI GmbH
(http://www.dfki.de ) in Saarbrücken, Germany.
Copyright: DFKI, 2017, licence GLP see https://www.gnu.org/licenses/gpl-3.0.en.html
For bug reports, technical problems and feature requests please contact:
Luca Mazzola: luca.mazzola@dfki.de or mazzola.luca@gmail.com
Patrick Kapahnke: patrick.kapahnke@dfki.de
The Common Lisp Reasoner extends the Common Lisp Object System (CLOS) to incorporate a powerful rule language suitable for all kinds of reasoning tasks, vanilla XML and RDF/XML interfaces, and support for a variety of AI-related applications, such as scheduling, planning and diagnosis.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
OntoComP is a Protégé 4 plug-in for completing OWL ontologies
OntoComP is a Protégé 4 plug-in for completing OWL ontologies. It enables the user to check whether an OWL ontology contains "all relevant information" about the application domain, and extends the ontology appropriately if this is not the case. It achieves this by asking the user questions of the form "are instances of classes C1 and C2 also instances of class C3?". If the user confirms such a question, then a new axiom of the application domain that does not follow from the ontology has...
MapPSO is a tool for Ontology Alignment, which uses Discrete Particle Swarm Optimisation. A particle swarm is used to search for the optimal alignment. The algorithm is massively parallel and adapts naturally on parallel architectures.
POGG (Programação Orientada a Gráficos de Gantt) é um modelo de programação que permite a distribuição de tarefas num Sistema Multiagente (SMA) criado com a plataforma JADE (Java Agent DEvelopment Framework), formando uma grade computacional.
SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.
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