Virtual ontology modeling method in field of tea science
A technology of domain ontology and modeling method, applied in unstructured text data retrieval, text database clustering/classification, special data processing applications, etc., can solve time-consuming and labor-intensive problems, low knowledge reuse rate, high resource overhead, etc. question
Active Publication Date: 2017-04-26
ANHUI AGRICULTURAL UNIVERSITY
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If it is aimed at tea planting, it will be very time-consuming and labor-intensive to develop an ontology that integrates the knowledge in the above related fields, with high resource overhead and low knowledge reuse rate
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[0073] Below in conjunction with accompanying drawing and specific embodiment the present technical scheme is further described:
[0074] Technical solution: The virtual ontology modeling in the field of tea science is based on the MapReduce framework of cloud computing, including several Map tasks and a Reduce task. Among them, the Map task mainly carries out the virtual extraction of ontology modules in the field of tea science, and the number of Map tasks is determined by the number of ontology involved in the field of tea science. The Reduce task is mainly to map the ontology modules of the field of tea science after virtual extraction, and finally generate the virtual ontology of the field of tea science. In order to better utilize the efficiency of MapReduce, the virtual ontology knowledge of tea science involved in the method is stored in the HBase database.
[0075] 1. Virtual extraction of ontology modules in the field of tea science based on community division
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The invention discloses a virtual ontology modeling method in the field of tea science. A MapReduce framework based on cloud computing comprises a plurality of Map tasks and one Reduce task, wherein the Map tasks are mainly used for performing virtual extraction of ontology modules in the field of tea science; the number of the Map tasks is determined by the number of involved ontologies in the field of tea science; and the Reduce task is mainly used for mapping the virtually-extracted ontology modules in the field of tea science to generate a virtual ontology in the field of tea science finally. Specific to the aim of bringing the efficiency of MapReduce into better play, tea science virtual ontology knowledge involved in the method is stored in an HBase database. Through adoption of the method, on-demand acquisition of a plurality of pieces of tea science ontology knowledge in a cloud computing environment can be realized, and the sharing and reusing efficiency of the tea science ontology knowledge is increased effectively.
Description
technical field [0001] The invention is the application of computer information technology in the field of agriculture, and mainly proposes a virtual ontology modeling method in the field of tea science. Background technique [0002] Since the 1990s, with the rapid development of technologies such as knowledge sharing, information integration and Web services, ontology research has attracted much attention in the computer field and has gradually become a research hotspot. Ontology outlines the basic knowledge system in a certain field through the standardized description of concepts, terms and their interrelationships. It can well solve problems such as knowledge representation, knowledge organization and knowledge sharing. In the seven-layer architecture of the Semantic Web proposed by Tim Berners-Lee, the ontology layer is based on XML and RDF, and is responsible for describing concepts in related fields and the relationship between concepts, providing a basis for logical ...
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IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 李绍稳刘超耿凡凡张筱丹徐济成许高建李景霞杨阳沈杰
Owner ANHUI AGRICULTURAL UNIVERSITY