System And Method For Planning And Generating Queries For Multi-Dimensional Analysis Using Domain Models And Data Federation

a domain model and query technology, applied in the field of data integration and data analysis, can solve the problems of increasing complexity of the product itself, lack of visibility across the product life cycle, and increasing complexity of the it environment in the industrial manufacturing sector

a domain model and query technology, applied in the field of data integration and data analysis, can solve the problems of increasing complexity of the product itself, lack of visibility across the product life cycle, and increasing complexity of the it environment in the industrial manufacturing sector

US20080046427A1Inactive Publication Date: 2008-02-21SERVICENOW INC

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  • System And Method For Planning And Generating Queries For Multi-Dimensional Analysis Using Domain Models And Data Federation
  • System And Method For Planning And Generating Queries For Multi-Dimensional Analysis Using Domain Models And Data Federation
  • System And Method For Planning And Generating Queries For Multi-Dimensional Analysis Using Domain Models And Data Federation

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Embodiment Construction

[0041] Referring now to the figures and specifically to FIGS. 1 and 2 there are shown a semantic model for automotive diagnostics and an expanded semantic model, respectively. A semantic model (ontology) is a formal explicit description of classes, i.e., concepts in a domain of discourse (e.g., automotive), properties of each class describing its attributes, relations with other classes being a special kind of properties (e.g., subclass, equivalentClass, etc.), properties of relations (e.g., transitive, symmetric, inverse, etc.), and constraints on properties (e.g., cardinality, etc.). Knowledge base often indicates a semantic model together with a set of individual instances of classes. The theoretical foundation of semantic models and technologies include logic (First Order Logic and Description Logic), knowledge representation of artificial intelligence (AI), and symbolic computation. The advantages of using semantic models include: (1) the models provide a means to express rich ...

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Abstract

Data integration and data analysis using computing equipment, software as well as hardware, includes a system and method for integrating data from various data sources, structured and unstructured, without physically creating a data warehouse and automatically generating queries for analysis of the integrated data from a multitude of different views.

Description

FIELD OF THE INVENTION [0001] The present invention relates to data integration and data analysis using computing equipment, software as well as hardware, and, more particularly, to a system and method for integrating data from various data sources, structured and unstructured, without physically creating a data warehouse and automatically generating queries for analysis of the integrated data from a multitude of different views. BACKGROUND OF THE INVENTION [0002] In recent years, industry trends toward mergers and acquisitions has forced most OEMs to re-think their processes to account for the multitude of data sources used by the various corporate divisions within the enterprise for storing and manipulating product data, including the product bill of materials, parts catalog, diagnostic procedures and warranty claims as a partial list of the kinds of product data that exists. [0003] Government regulations, rising production cost, shorter time-to-market are yet other reasons why co...

Claims

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Application Information

Patent Timeline
21 Feb 2008
Publication
US20080046427A1
IPC
G06F17/30
CPC
G06F17/3043; G06F17/30545; G06F17/30566; Y10S707/99936; Y10S707/971; Y10S707/99933; Y10S707/99934; Y10S707/957
Inventors
LEE, JUHNYOUNG; MAZZOLENI, PIETRO