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Tuples (triples) for TRAK architecture viewpoints and views
...TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html. Each TRAK metamodel element now has its own web page - see https://trakmetamodel.sourceforge.io/metamodel/index.html
Formalized English (o.a.) for standardized information exchange
Formal English (Formal Dutch, etc.) are members of the Gellish family of computer interpretable languages for modeling products and processes and their properties as well as for knowledge representation, modeling of requirements and for modeling definitions.
The project is intended for further development of Formal English and its Taxonomic Dictionary-Ontology.
Software tools for supporting implementations are developed as a https://github.com/ project.
The 2008 version of the taxonomic dictionary is available for free download on this website. Later releases can be licensed via http://www.gellish.net/
mx is a Ruby/Rails code base with broad application in evolutionary biology, it includes general functionality for matrix handling, sequence management, ontology construction, specimen handling, taxonomic catalogs, taxonomic descriptions and more
Ontology Design Patterns (ODPs) are well known and efficient modeling solutions for ontologies. This public catalog offers a collection of well documented and tested ODPs, including examples from the biological knowledge domain, implemented in OWL.
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Ontologies of Unicode characters, textemes, and text properties
This project hosts:
(1) the Unicode Ontology that aims to represent an important part of the Unicode Standard and
(2) the Texteme ontology that defines the concept of texteme: a generalized textual element.
These ontologies provide the basis for a formal description of written signs not contained in Unicode, but also of text properties that describe new signs or existing Unicode characters.
The “RDB2RDF Mapper” is a Java based software desktop application which allows a user to create a mapping file between a relational database and an RDFS/OWL ontology via a graphical user interface. This project is ANDS-funded.
Ontology MApping FRAmework Toolkit allows to create semantic relations between two (source and target) ontologies, and apply such relations in translating source ontology instances into target ontology instances.
Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
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EHR/EMR cross-platform electronic medical record application
EHR/EMR cross-platform software for the design, implementation and use of autonomous, open, database models for multilingual medical knowledge management systems from primary care to continuing care.
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
METAmorphoses is a system for flexible and easy-to-use generation of RDF metadata directly from a relational database. Metadata are genereated according to a mapping from an existing database schema to a particular ontology.
OntoCardio is an initiative to build ontologies for the legacy Cardio Database (Resource of bioinformation on cardiovascular diseases). SMI's Protege and its OWL plug-in has been adopted as the ontology construction and programming framework.
A new front-end for the Protege (protege.stanford.edu) knowledge management and ontology development software that mimics the "Windows Explorer" interface to make it easier to deal with RDF and similiar "semantic web" structured data stores.
Top Engine the Semantic Web Engine for the Enterprise. Top Engine is a Business Rule Engine that utilize OWL DL ontologies for vocabulary primitive to write rules on top of ontology. Top Engine support forward and backward chaining with truth maintenance