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Multi-source heterogeneous data semantic integration model constructed based on domain ontology and method

A technology of multi-source heterogeneous data and domain ontology, applied in the field of multi-source heterogeneous data semantic integration model

Active Publication Date: 2014-12-03
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a model and method for semantic integration of multi-source heterogeneous data based on domain ontology, aiming at solving the problem of semantic integration and sharing among heterogeneous data of oil and gas exploration

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  • Multi-source heterogeneous data semantic integration model constructed based on domain ontology and method
  • Multi-source heterogeneous data semantic integration model constructed based on domain ontology and method
  • Multi-source heterogeneous data semantic integration model constructed based on domain ontology and method

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0035] Such as figure 1 As shown, the method for semantic integration of multi-source heterogeneous data constructed based on domain ontology in the embodiment of the present invention includes:

[0036] S101: Use ontology construction technology to automatically and semi-automatically establish local ontology of multi-source heterogeneous data, construct domain ontology through ontology merging technology, and establish semantic mapping relationship between dat...

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Abstract

The invention discloses a multi-source heterogeneous data semantic integrated model constructed based on domain ontology. The multi-source heterogeneous data semantic integration model comprises a local ontology constructing module, a domain ontology merging module and a semantic inquiring dynamic propagation and protocol module. A multi-source heterogeneous data semantic integrating method comprises the following steps: constructing the domain ontology through an ontology merging technique and establishing a semantic mapping relation between a data source and the local ontology as well as between the local ontology and the domain ontology; combining the complementary advantage of social label and ontology on knowledge representation and performing inquiring protocol and propagation for the semantic inquiring request of the user, thereby generating a formal semantic inquiring statement; respectively inquiring a plurality of data sources, performing duplicate removal and aggregation optimization on the inquiring result, and lastly feeding back to the user. The invention provides an aggregation heterogeneous data semantic integration model constructed based on domain ontology and the method through the construction and mapping of the domain ontology, semantic inquiring propagation and result aggregation optimization.

Description

technical field [0001] The invention belongs to the cross field of heterogeneous data semantic integration and oil and gas exploration knowledge discovery, and in particular relates to a multi-source heterogeneous data semantic integration model and method based on domain ontology. Background technique [0002] With the continuous deepening of the integration of industrialization and informatization, oil and gas exploration companies have accumulated rich and detailed data such as exploration, seismic, and well logging in the long-term production process. These data with different structures and stored in different locations contain rich geological information and have obvious potential application value. They are an important basis for future exploration and development of oil and gas fields and an important resource for scientific and technological innovation. Use methods and technologies such as knowledge discovery and artificial intelligence to find out effective, novel,...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/212G06F16/243G06F16/256G06F16/35G06F16/8358
Inventor 葛继科杨治明陈祖琴刘兴华裴仰军王成敏黄永文
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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