Data model for machine data for semantic search

Embodiments are directed towards generating data models that may give semantic meaning for unstructured data or structured data that may include data generated and/or received by search engines, including a time series engine. Data models also may be generated to provide semantic meaning to structur...

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Bibliographische Detailangaben
Hauptverfasser: NEELS ALICE EMILY, SORKIN STEPHEN PHILLIP, ZHANG STEVE YU, GANAPATHI ARCHANA SULOCHANA, ROBICHAUD MARC VINCENT
Format: Patent
Sprache:eng
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Zusammenfassung:Embodiments are directed towards generating data models that may give semantic meaning for unstructured data or structured data that may include data generated and/or received by search engines, including a time series engine. Data models also may be generated to provide semantic meaning to structured data. A data model may be composed of a hierarchical data model objects analogous to an object-oriented programming class hierarchy. Users may employ a data modeling application to produce reports using search objects that may be part of, or associated with the data model. The data modeling application may employ the search object and the data model to generate a query string for searching a data repository to produce a result set. A data modeling application may map the result set data to data model objects that may be used to generate reports.