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ConceptBase.cc is a multi-user deductive database system with an object-centered data model. Its ability to represent information at any abstraction level (data, class, metaclass, meta-metaclass, etc.) makes it a powerful tool for metamodeling and engineering of customized modeling languages. The system is accompanied by a highly configurable graphical user interface that builds upon the logic-based features of the ConceptBase.cc server.

ZeroGPT: Differentiates human vs. synthetic text (zerogpt.cc).

RDF vocabulary search and lookup

Kasabi Directory Creative Commons Attribution (CC-BY) Uncategorised This dataset is an aggregation of all of the machine-readable metadata relating to datasets in Kasabi. It has been compiled by crawling all of the VoiD descriptions available from data.kasabi.com. This includes the basic dataset metadata as well as some data about its structure, e.g. resource counts and lists of classes and their occurences.

"This document describes an ontology for publishing Linked Open Data (LOD) in the Open Data Web.  The initial ontology is being designed for implementing CC licensed data in the Union Catalog of Digital Archives Taiwan . However, the core model of the ontology is flexible and adaptable for other uses in curating, publishing and reusing their data according to users' context.   ."

"The annual SEMANTiCS conference (formerly known as I-Semantics) is the meeting place for professionals who make semantic computing work, and understand its benefits and know its limitations. Every year, SEMANTiCS attracts information managers, IT-architects, software engineers, and researchers, from organisations ranging from NPOs, public administrations to the largest companies in the world."