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  2. Semantic data model - Wikipedia

    en.wikipedia.org/wiki/Semantic_data_model

    A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic data model is an abstraction that defines how the stored symbols (the instance data) relate to the real world. [1]

  3. Comparison of research networking tools and research ...

    en.wikipedia.org/wiki/Comparison_of_research...

    Yes Profiles Users Group has regular conference calls and works on collaborative software development projects. Profiles can perform federated queries across other Profiles instances, and with other products using linked open data (VIVO ontology) and the DIRECT2Experts API. REACH NC Life Science Experts Visualization Tool Yes Yes Through SciVal API

  4. User modeling - Wikipedia

    en.wikipedia.org/wiki/User_modeling

    A user model is the collection and categorization of personal data associated with a specific user. A user model is a (data) structure that is used to capture certain characteristics about an individual user, and a user profile is the actual representation in a given user model. The process of obtaining the user profile is called user modeling. [3]

  5. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data . This is in contrast to semantic search , which uses semantics (meaning of language constructs) in unstructured text to produce a better search result.

  6. Semantic layer - Wikipedia

    en.wikipedia.org/wiki/Semantic_layer

    A semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms managed through Business semantics management. A semantic layer maps complex data into familiar business terms such as product, customer, or revenue to offer a unified, consolidated view of data across the ...

  7. Ontology (information science) - Wikipedia

    en.wikipedia.org/wiki/Ontology_(information_science)

    Aspects of ontology editors include: visual navigation possibilities within the knowledge model, inference engines and information extraction; support for modules; the import and export of foreign knowledge representation languages for ontology matching; and the support of meta-ontologies such as OWL-S, Dublin Core, etc. [33]

  8. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design. The use-case targets applications which offer a large ...

  9. Open Semantic Framework - Wikipedia

    en.wikipedia.org/wiki/Open_Semantic_Framework

    The engines layer represents the major workflow requirements and data management and indexing of the system. The premise of the Open Semantic Framework is based on the RDF data model. Using a common data model means that all Web services and actions against the data only need to be programmed via a single, canonical form. Simple converters ...