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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. 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 ...

  4. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries enable the retrieval of both explicitly and implicitly derived information based on syntactic, semantic and structural information contained in data. They are designed to deliver precise results (possibly the distinctive selection of one single piece of information) or to answer more fuzzy and wide open questions through ...

  5. Microsoft Power BI - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_BI

    Also, access to several features, functionalities, and kinds of content that are exclusively accessible through premium is made possible with a Power BI Premium per-user license. [24] Premium per user is a special workspace license which was added in November 2020, [ 25 ] and can be a more affordable alternative to premium workspace licenses ...

  6. 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]

  7. Business Intelligence 2.0 - Wikipedia

    en.wikipedia.org/wiki/Business_Intelligence_2.0

    Business Intelligence 2.0 (BI 2.0) is a development of the existing business intelligence model that began in the mid-2000s, where data can be obtained from many sources. The process allows for querying real-time corporate data by employees but approaches the data with a web browser -based solution.

  8. 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 ...

  9. 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 ...