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kanak sharma

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Janos Haits

OntoUML Community Portal | community site - 0 views

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    'OntoUML is a ontologically well-founded language for Ontology-driven Conceptual Modeling. OntoUML is built as a UML extension based on the Unified Foundational Ontology (UFO). The foundations of UFO and OntoUML can be traced back to Giancarlo Guizzardi's Ph.D. thesis "Ontological foundations for structural conceptual models". In his work, he proposed a novel foundational ontology for conceptual modeling (UFO) and employed it to evaluate and re-design a fragment of the UML 2.0 metamodel for the purposes of conceptual modeling and domain ontology engineering.'
mikhail-miguel

Mental Models Artificial Intelligence - Easily understand mental models with Artificial... - 0 views

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    Mental Models Artificial Intelligence: Easily understand mental models with Artificial Intelligence (futurepedia.io).
Janos Haits

SWI-Prolog for the (semantic) web - 0 views

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    The (semantic) web is one of the most promising application areas for SWI-Prolog. Prolog handles the semantic web RDF model naturally, where RDF provides a stable model for knowledge representation with shared semantics. It turns out that Prolog is also quite capable of providing web-services (HTTP), especially where it comes to dynamic generation of HTML pages and providing data for Javascript web-applications using the JSON serialisation.
Janos Haits

PROV-O: The PROV Ontology - 1 views

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    The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information specific to different domain applications.
Janos Haits

The RDF Data Cube Vocabulary - 1 views

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    The Data Cube vocabulary provides a means to do this using the W3C RDF (Resource Description Framework) standard. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.
Janos Haits

RDF - Semantic Web Standards - 0 views

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    RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a "triple"). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications.
Janos Haits

SPIN - SPARQL Inferencing Notation - 0 views

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    SPIN is the de-facto industry standard to represent SPARQL rules and constraints on Semantic Web models. SPIN also provides meta-modeling capabilities that allow users to define their own SPARQL functions and query templates. Finally, SPIN includes a ready to use library of common functions.
Janos Haits

ConceptBase.cc - 1 views

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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.
Janos Haits

WSMX - Web Service Execution Environment - 0 views

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    WSMX (Web Service Modelling eXecution environment) is the reference implementation of WSMO (Web Service Modelling Ontology). It is an execution environment for business application integration where enhanced web services are integrated for various business applications. The aim is to increase business processes automation in a very flexible manner while providing scalable integration solutions.
mariofiedler21

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mikhail-miguel

CheckForAI - Detect Artificial Intelligence text in essays/emails w/ Open Artificial In... - 0 views

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    CheckForAI: Detect Artificial Intelligence text in essays/emails w/ Open Artificial Intelligence & proprietary models (checkforai.com).
mikhail-miguel

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    Window.ai: Use your own Artificial Intelligence models on the web (windowai.io).
mikhail-miguel

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mikhail-miguel

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    PromptStacks: Free, vetted prompts for large language models, plus a community to join (promptstacks.com).
mikhail-miguel

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    Retune: Create & monetize GPT-3 language models with re:tune (retune.so).
mikhail-miguel

PromptStacks - Free, vetted prompts for large language models, plus a community to join... - 0 views

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    PromptStacks: Free, vetted prompts for large language models, plus a community to join (promptstacks.com).
mikhail-miguel

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mikhail-miguel

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