CN117633248A - Knowledge engineering application method and system in rice field - Google Patents
Knowledge engineering application method and system in rice field Download PDFInfo
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Abstract
The invention discloses a knowledge engineering application method and a knowledge engineering application system in the field of rice, which belong to the field of knowledge engineering application of rice and comprise the following steps: collecting multi-modal data of rice in a knowledge source and performing data processing to obtain structured data elements for constructing a knowledge base in the rice field; carrying out storage management on the data elements by adopting an attribute graph model based on a graph database to obtain a knowledge base in the rice field; building a knowledge engineering application platform in the rice field, wherein the application platform comprises a front-end page facing a user and a back-end system facing a server, the front-end page comprises system management and a portal of the knowledge engineering platform in the rice field, and the back-end system comprises data processing and storage management; the practical engineering requirement of the user is achieved through the portal of the rice knowledge engineering platform. The knowledge engineering application platform in the rice field provided by the invention can provide convenience, flexibility and high expandability for relevant technicians.
Description
Technical Field
The invention belongs to the field of rice knowledge engineering application, and particularly relates to a method and a system for knowledge engineering application in the field of rice.
Background
With the development of society, traditional agriculture has been gradually replaced by new agriculture, and the conversion of modern agriculture into intelligent agriculture has become a new direction, and the utilization of rice information resources has also entered into the diversification era. Regarding the related information of rice crops, a large amount of information resources are not effectively utilized, so that the information of the rice field is comprehensively and accurately mastered, and the problems of effectively organizing and representing the knowledge of the rice field and fully mining the value of the data of the rice field are urgent to be solved.
Knowledge base is a comprehensive and organized knowledge cluster in knowledge engineering, mainly aiming at the need of a problem in a certain field, a plurality of knowledge representation modes are adopted to store, organize, manage and use a set of interconnected knowledge points or concepts in a computer memory. These knowledge points include some theoretical knowledge related to the field, fact data, new knowledge derived from expert experience. Natural language processing and knowledge graph are common techniques in the expression of knowledge and organization of knowledge.
In order to solve the above problems, patent document with publication number CN111538847a discloses a method for constructing a Ningxia rice knowledge graph, comprising: acquiring data in the rice field by means of a rice semantic dictionary, a crawler program and government public data; performing mode conversion on the preprocessed data, extracting entities and attribute values thereof according to unstructured data definition rules, and completing extraction of non-classification relations by adopting a mode matching-based method; and (3) introducing a plurality of RDFs generated after the mode conversion into Prot g e, fusing the ontology by utilizing Merge ontogies, and carrying out knowledge complementation and correction under the participation and guidance of rice experts to complete the construction of the Ningxia rice knowledge graph. However, the technical scheme provided by the invention only relates to the construction of the rice knowledge graph, and does not relate to the encapsulation and utilization of the subsequent knowledge graph.
The patent document with publication number of CN116010564A discloses a construction method of a rice pest question-answering system based on a multi-mode knowledge graph, which comprises the following steps: 1) Acquiring and sorting data, namely acquiring text information, picture information and picture links related to crop diseases and insect pests through a web crawler program by taking a vertical website as a data source, sorting and sorting key information through a network, and storing the key information; 2) Extracting entities and relations from the arranged data, analyzing the entities and the relations, and finally constructing a multi-mode knowledge graph; 3) And constructing a question-answering system, carrying out entity identification, word segmentation and triplet extraction on the questions, analyzing the semantics of the questions, and carrying out template matching to determine output results. However, the invention only relates to the construction of the knowledge graph of the rice plant diseases and insect pests, and does not relate to the construction of a general knowledge engineering platform of the rice.
Disclosure of Invention
The invention aims to provide a method and a system for applying knowledge engineering in the rice field, which acquire multi-modal data of rice, acquire a knowledge base in the rice field by adopting a natural language processing technology and an attribute graph model based on a graph database, build a knowledge engineering application platform in the rice field and provide intelligent application of knowledge engineering in the rice field, which is convenient, flexible and high in expandability for relevant technicians.
In order to achieve the above purpose, the technical scheme provided by the invention is as follows:
in a first aspect, the present invention provides a method for applying knowledge engineering in the field of rice, including the following steps:
collecting multi-modal data of rice in a knowledge source, and performing data processing on the multi-modal data of the rice based on a natural language processing technology to obtain structured data elements for constructing a knowledge base in the rice field;
carrying out storage management on data elements by adopting an attribute graph model based on a graph database to obtain a rice field knowledge base, wherein the rice field knowledge base is used as a database of a rice field knowledge engineering application platform;
building a knowledge engineering application platform in the rice field, wherein the application platform comprises a front-end page facing a user and a back-end system facing a server, the front-end page comprises system management and a portal of the knowledge engineering platform in the rice field, and the back-end system comprises data processing and storage management; the user logs in to the knowledge engineering application platform in the rice field through system management, and the engineering application of the knowledge in the rice field is completed through the portal of the knowledge engineering platform according to actual engineering requirements.
Aiming at the data elements obtained by preprocessing of the natural language processing technology, the invention adopts the attribute graph model based on the graph database to classify and store and manage the data elements, and ensures that huge and disordered knowledge in the rice field can be fully suitable for engineering application of the knowledge in the rice field by utilizing efficient query, flexibility and expandability of the attribute graph model; in addition, in order to further improve the high-efficiency utilization of the rice knowledge, the invention builds a rice field knowledge engineering application platform for related technicians by using a rice field knowledge base database, comprises a front-end page facing a user and a rear-end system facing a server end, wherein the user logs in the rice field knowledge engineering application platform through the system management of the front-end page, the front-end page also encapsulates a rice knowledge engineering platform portal comprising rice hundred degrees, special application, project space and personal space, and the technicians can perform operations such as rice knowledge retrieval on the rice knowledge engineering platform portal according to actual engineering requirements to finish engineering application of the rice field knowledge.
Further, the knowledge sources comprise an internal knowledge source and an external knowledge source, wherein the internal knowledge source comprises a scientific research management system, a rice comprehensive data center, a rice breeding platform and an expert knowledge network; external knowledge sources include national Rice data center, wikipedia and crop science report 。
Further, the rice multi-modal data includes rice text data and rice image data.
Further, the data processing includes:
carrying out data cleaning on the multi-modal data of the rice to obtain cleaned multi-modal data of the rice;
performing data annotation on text data in the cleaned rice multi-mode data, annotating rice field entities and learning relation modes, and establishing a text index for image data;
a semi-supervised learning method is adopted, and a relation mode is heuristically iterated and learned, so that the accuracy and reliability of the relation mode are improved;
carrying out knowledge extraction on the rice field entity to obtain a rice knowledge entity;
if the previously constructed rice field knowledge base exists, candidate generation is carried out on the existing rice knowledge entities in the rice field knowledge base to obtain a candidate entity set, the similarity between the rice knowledge entities and the candidate entity set is calculated by adopting an entity alignment method, the result of the similarity calculation is ordered, and knowledge linking is carried out on the rice knowledge entities and the existing rice knowledge entities in the rice field knowledge base according to the ordering result; if the constructed rice field knowledge base does not exist, skipping the step;
and (3) completing knowledge fusion of the knowledge-linked rice knowledge entity and the iterative learning relationship mode by adopting pattern matching to obtain data elements for constructing a knowledge base in the rice field.
Furthermore, the storage management adopts an attribute graph model based on a graph database, uses a rice knowledge entity, a learning relation mode and a text index which are obtained by data processing as node information, and performs storage management including knowledge classification storage, rule management, term management and model algorithm management on the data elements according to the node information.
Further, the system management includes user management, role management, rights management, and application component management associated with the user.
Further, the portal of the rice knowledge engineering platform comprises:
the rice hundred degrees comprising the keyword search and the knowledge map;
thematic application including thematic knowledge aggregation and knowledge precipitation;
a project space containing knowledge pushing, learning and knowledge sharing;
personal space containing personal knowledge management and knowledge subscription.
In a second aspect, in order to achieve the above object, the embodiment of the present invention further provides a knowledge engineering application system in the rice field, including an information acquisition and processing module, a knowledge storage module, and a platform building module;
the information acquisition and processing module is used for acquiring the multi-modal data of the rice in the knowledge source, and carrying out data processing on the multi-modal data of the rice based on a natural language processing technology to obtain structured data elements for constructing a knowledge base in the rice field;
the knowledge storage module is used for carrying out storage management on the data elements by adopting an attribute graph model based on a graph database to obtain a rice field knowledge base which is used as a database of a rice field knowledge engineering application platform;
the platform building module is used for building a knowledge engineering application platform in the rice field and comprises a front-end page facing a user and a rear-end system facing a server end, wherein the front-end page comprises a system management and a portal of the knowledge engineering platform of the rice, and the rear-end system comprises data processing and storage management; the user logs in to the knowledge engineering application platform in the rice field through system management, and the engineering application of the knowledge in the rice field is completed through the portal of the knowledge engineering platform according to actual engineering requirements.
In a third aspect, in order to achieve the above object, an embodiment of the present invention further provides a device for applying knowledge engineering in a paddy field, including a memory and a processor, where the memory is configured to store a computer program, and the processor is configured to implement, when executing the computer program, the method for applying knowledge engineering in a paddy field provided by the embodiment of the present invention in the first aspect.
In a fourth aspect, in order to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is used in a computer, the method for applying knowledge engineering in a paddy field provided by the embodiment of the first aspect is implemented.
The beneficial effects of the invention are as follows:
(1) The invention integrates and processes the data of the internal rice field and the data of the external rice field together, expands the basic data source of the rice field and provides rich knowledge reserve for the knowledge engineering application of the rice field;
(2) According to the invention, the attribute graph model based on the graph database is adopted to classify and store and manage the data elements, and huge and disordered knowledge in the rice field can be ensured to be fully suitable for the knowledge engineering application in the rice field by utilizing the efficient query, flexibility and expandability of the attribute graph model;
(3) According to the invention, the knowledge base in the rice field is used as a database, a knowledge engineering application platform in the rice field is built for related technicians, the technicians can perform operations such as rice knowledge retrieval and the like on a portal of the knowledge engineering platform according to actual engineering requirements, and the engineering application of the knowledge in the rice field is completed.
Drawings
FIG. 1 is a flowchart of a method for applying knowledge engineering in the field of paddy rice according to an embodiment of the invention.
Fig. 2 is a schematic flow chart of data preprocessing according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a specific structure of a knowledge engineering application platform in the rice field according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a knowledge engineering application system in the paddy field according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of knowledge engineering application equipment in the paddy field according to the embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the detailed description is presented by way of example only and is not intended to limit the scope of the invention.
FIG. 1 is a flowchart of a method for applying knowledge engineering in the field of paddy rice according to an embodiment of the invention. As shown in fig. 1, the embodiment provides a method for applying knowledge engineering in the rice field, which comprises the following steps:
s110, collecting the multi-modal data of the rice in the knowledge source, and performing data processing on the multi-modal data of the rice based on a natural language processing technology to obtain structured data elements for constructing a knowledge base in the rice field.
In this example, the construction of a pedigree blood margin of a rice variety in the application of knowledge engineering in the rice field is described as an example.
Extracting information related to pedigree blood margin of rice varieties from an internal knowledge source and an external knowledge source, wherein the internal knowledge source comprises a scientific research management system, a rice comprehensive data center, a rice breeding platform and an expert knowledge network; external sources of knowledge include national rice data centers, wikipedia, and crop school. And extracting text data and image data containing the name of the rice variety, the name of the male parent variety, the name of the female parent variety, the type and the morphological characteristics to serve as multi-modal data of the rice.
Based on natural language processing technology, data processing is performed on the collected rice multi-mode data, as shown in fig. 2, and the data processing sequentially comprises:
(1) Carrying out data cleaning on the multi-modal data of the rice to obtain cleaned multi-modal data of the rice;
(2) For the cleaned rice multi-mode data, marking data by using open source tools such as Brat, chinese-Annotator, marktool, doccano and the like according to unstructured text data, and marking rice field entities and learning relation modes; aiming at image data, establishing a text index of an image, so that a graph-based search function is conveniently provided subsequently;
(3) A semi-supervised learning method is adopted, and a learning relation mode is heuristically iterated, so that the accuracy and reliability of the learning relation mode are improved;
(4) Carrying out knowledge extraction on the rice field entity to obtain a rice knowledge entity;
(5) If the constructed knowledge base in the rice field does not exist, directly jumping to the step (6) to perform related knowledge fusion after obtaining the rice knowledge entity in the step (4); if the constructed rice field knowledge base exists, candidate generation is carried out on the existing rice knowledge entities in the rice field knowledge base to obtain a candidate entity set, the similarity between the rice knowledge entities and the candidate entity set is calculated by adopting an entity alignment method, the result of the similarity calculation is ordered, and knowledge linking is carried out on the rice knowledge entities and the existing rice knowledge entities in the rice field knowledge base according to the ordering result;
(6) And (3) completing knowledge fusion of the knowledge-linked rice knowledge entity and the iterative learning relationship mode by adopting pattern matching to obtain data elements for constructing a knowledge base in the rice field.
In the data processing process, data checking is performed in a manual secondary screening mode, so that the data quality is ensured.
And S120, carrying out storage management on the data elements by adopting an attribute graph model based on a graph database to obtain a rice field knowledge base, wherein the rice field knowledge base is used as a database of a rice field knowledge engineering application platform.
Importing the structured data elements obtained in the step S110 into a graph database, and modeling the data elements by adopting an attribute graph model: and converting the data elements into a graph form, using the rice knowledge entity, the learning relation mode and the text index obtained in the step S110 as node information, and using a query language Datalog to query, process and analyze the graph according to the node information to obtain a rice field knowledge base including knowledge classification, rules, terms and model algorithms related to the rice field knowledge, and using the rice field knowledge base as a database for storage management.
S130, building a knowledge engineering application platform in the rice field, wherein the application platform comprises a front-end page facing a user and a back-end system facing a server end, the front-end page comprises a system management and a portal of the knowledge engineering platform in the rice field, and the back-end system comprises data processing and storage management; the user logs in to the knowledge engineering application platform in the rice field through system management, and the engineering application of the knowledge in the rice field is completed through the portal of the knowledge engineering platform according to actual engineering requirements.
Based on the obtained database of the pedigree blood margin of the rice variety, in order to realize engineering application of knowledge in the related field, the invention further establishes a knowledge engineering application platform in the rice field, as shown in fig. 3, and a specific structure diagram of the knowledge engineering application platform in the rice field established by the invention is shown. The platform aims to provide application and service of the pedigree blood margin knowledge of rice varieties for technicians. And gradually packaging the data processing sub-module, the system management sub-module, the storage management sub-module and the rice knowledge engineering platform portal into the rice field knowledge engineering application platform.
Firstly, in order to realize the data processing of the collected rice multi-mode data, the functional hardware of the data processing submodule consists of a server and a high-performance GPU cluster, a Kubernates open source framework is adopted as a basic tool for resource scheduling management, any one of Brat, chinese-Annotator, marktool, doccano and other open source tools is built in at the same time, and the collected rice multi-mode data is input into the data processing submodule, so that a series of data processing such as cleaning, labeling, extracting, linking and fusing of the rice multi-mode data can be automatically realized, and structured data elements for constructing a database are obtained.
The data elements are input to a storage management sub-module, which is comprised of a large number of storage servers. Performing storage management on the data elements by adopting an attribute graph model based on a graph database, wherein the storage management comprises the following steps: and (3) carrying out knowledge classification storage, rule management, term management and model algorithm management on the relationship between the pedigree and the blood-source of the rice variety to obtain a database of the relationship between the pedigree and the blood-source of the rice variety. Meanwhile, by classifying and managing the rice knowledge, the method is convenient for providing various rice knowledge application and services for users when a rice knowledge engineering platform portal of a front page is arranged later.
And packaging a system management sub-module at the front end page, providing a uniform Restful entry and Oauth user access authentication to the outside, wherein the system management sub-module comprises user management, role management, authority management and application component management, and the user logs in through the Restful entry in the system management sub-module. Meanwhile, a rice knowledge engineering platform portal is packaged on a front-end page, the rice knowledge engineering platform portal comprises rice hundred degrees, thematic applications, project space and personal space, and after a user logs in the platform, the user can select needed knowledge applications and services in the rice knowledge engineering platform portal according to personal actual engineering requirements.
Taking rice hundred degrees as an example, a user inputs search elements in a keyword search box of the API to form Query, and accesses a database related to the pedigree blood margin of the rice variety in a back-end system through Query analysis and expansion, wherein the back-end system consists of a large-capacity storage server, returns a recall data set corresponding to the search elements, and realizes a retrieval flow. The retrieved result is used for engineering application of actual knowledge in the rice field by the user.
Based on the knowledge engineering application platform in the rice field, the application of the related web end or mobile end can be developed, and a more convenient and flexible technical support for the application of the knowledge engineering of the rice is provided for professional technicians.
The knowledge engineering software platform construction work in the rice field is developed, the formed result can provide reference for knowledge engineering construction in the agricultural field, and the knowledge engineering software platform construction work has theoretical significance for further perfecting the intelligent key technology based on the agricultural field and has practical significance for improving the efficiency of the agricultural industry.
Based on the same inventive concept, the embodiment of the invention also provides a knowledge engineering application system 500 in the rice field, as shown in fig. 4, comprising an information acquisition and processing module 510, a knowledge storage module 520 and a platform construction module 530;
the information acquisition and processing module 510 is used for acquiring the multi-modal data of the rice in the knowledge source, and performing data processing on the multi-modal data of the rice based on a natural language processing technology to obtain structured data elements for constructing a knowledge base in the rice field;
the knowledge storage module 520 is configured to store and manage data elements by using an attribute graph model based on a graph database, so as to obtain a rice field knowledge base, where the rice field knowledge base is used as a database of a rice field knowledge engineering application platform;
the platform construction module 530 is used for constructing a knowledge engineering application platform in the rice field, and comprises a front-end page facing a user and a back-end system facing a server, wherein the front-end page comprises a system management and a portal of the knowledge engineering platform in the rice field, and the back-end system comprises data processing and storage management; the user logs in to the knowledge engineering application platform in the rice field through system management, and the engineering application of the knowledge in the rice field is completed through the portal of the knowledge engineering platform according to actual engineering requirements.
For the knowledge engineering application system in the rice field provided by the embodiment of the invention, the knowledge engineering application system basically corresponds to the method embodiment, so relevant parts only need to be referred to in the part of the description of the method embodiment. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present invention. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Based on the same inventive concept, the embodiment also provides a knowledge engineering application device in the rice field, as shown in fig. 5, wherein the knowledge engineering application device comprises a memory and a processor, the memory is used for storing a computer program, and the processor is used for realizing the knowledge engineering application method in the rice field when executing the computer program.
The application equipment of the knowledge engineering in the rice field provided by the embodiment of the invention can be equipment such as a computer. The device embodiments can be implemented by software, or by hardware or a combination of hardware and software. Taking software implementation as an example, the method is formed by reading corresponding computer program instructions in a nonvolatile memory into a memory through a processor of any equipment with data processing capability. From a hardware level, fig. 5 is a schematic structural diagram of the knowledge engineering application device in the rice field provided by the embodiment of the present invention, and besides the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 5, the knowledge engineering application device in the rice field provided by the embodiment of the present invention may further include other hardware according to the actual function of the device with data processing capability, which is not described herein.
Based on the same inventive concept, the embodiment also provides a computer-readable storage medium, wherein the storage medium is stored with a computer program, and the knowledge engineering application method in the rice field is realized when the computer program is used by a computer.
The computer readable storage medium may be an internal storage unit, such as a hard disk or a memory, of any of the data processing enabled devices described in any of the previous embodiments. The computer readable storage medium may also be an external storage device of the wind turbine generator, such as a plug-in hard disk, a Smart Media Card (SMC), an SD Card, a Flash memory Card (Flash Card), etc. provided on the device. Further, the computer readable storage medium may include both internal storage units and external storage devices of any device having data processing capabilities. The computer readable storage medium is used for storing the computer program and other programs and data required by the arbitrary data processing apparatus, and may also be used for temporarily storing data that has been output or is to be output.
It should be noted that, the system for applying the knowledge engineering in the paddy field, the apparatus for applying the knowledge engineering in the paddy field, and the computer-readable storage medium provided in the foregoing embodiments all belong to the same concept as the embodiment of the method for applying the knowledge engineering in the paddy field, and specific implementation processes thereof are detailed in the embodiment of the method for applying the knowledge engineering in the paddy field, which are not described herein again.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the foregoing detailed description of the invention has been provided, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing examples, and that certain features may be substituted for those illustrated and described herein. Modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The application method of the knowledge engineering in the rice field is characterized by comprising the following steps of:
collecting multi-modal data of rice in a knowledge source, and performing data processing on the multi-modal data of the rice based on a natural language processing technology to obtain structured data elements for constructing a knowledge base in the rice field;
carrying out storage management on data elements by adopting an attribute graph model based on a graph database to obtain a rice field knowledge base, wherein the rice field knowledge base is used as a database of a rice field knowledge engineering application platform;
building a knowledge engineering application platform in the rice field, wherein the application platform comprises a front-end page facing a user and a back-end system facing a server, the front-end page comprises system management and a portal of the knowledge engineering platform in the rice field, and the back-end system comprises data processing and storage management; the user logs in to the knowledge engineering application platform in the rice field through system management, and the engineering application of the knowledge in the rice field is completed through the portal of the knowledge engineering platform according to actual engineering requirements.
2. The application method of knowledge engineering in the field of paddy rice according to claim 1, wherein the knowledge sources comprise an internal knowledge source and an external knowledge source, and the internal knowledge source comprises a scientific research management system, a paddy rice comprehensive data center, a paddy rice breeding platform and an expert knowledge network; external sources of knowledge include national rice data centers, wikipedia, and crop school.
3. The method of claim 1, wherein the multi-modal data includes text data and image data.
4. The application method of knowledge engineering in the field of paddy rice according to claim 1, wherein the data processing comprises:
carrying out data cleaning on the multi-modal data of the rice to obtain cleaned multi-modal data of the rice;
performing data annotation on text data in the cleaned rice multi-mode data, annotating rice field entities and learning relation modes, and establishing a text index for image data;
a semi-supervised learning method is adopted, and a relation mode is heuristically iterated and learned, so that the accuracy and reliability of the relation mode are improved;
carrying out knowledge extraction on the rice field entity to obtain a rice knowledge entity;
if the previously constructed rice field knowledge base exists, candidate generation is carried out on the existing rice knowledge entities in the rice field knowledge base to obtain a candidate entity set, the similarity between the rice knowledge entities and the candidate entity set is calculated by adopting an entity alignment method, the result of the similarity calculation is ordered, and knowledge linking is carried out on the rice knowledge entities and the existing rice knowledge entities in the rice field knowledge base according to the ordering result; if the constructed rice field knowledge base does not exist, skipping the step;
and (3) completing knowledge fusion of the knowledge-linked rice knowledge entity and the iterative learning relationship mode by adopting pattern matching to obtain data elements for constructing a knowledge base in the rice field.
5. The method according to claim 4, wherein the storage management uses a graph model based on a graph database, uses a rice knowledge entity, a learning relationship mode and a text index obtained by data processing as node information, and performs storage management including knowledge classification storage, rule management, term management and model algorithm management on the data elements according to the node information.
6. The rice field knowledge engineering application method as recited in claim 1, wherein the system management includes user management, role management, rights management, and application component management related to the user.
7. The application method of knowledge engineering in the field of paddy rice according to claim 1, wherein the portal of the knowledge engineering platform for paddy rice comprises:
the rice hundred degrees comprising the keyword search and the knowledge map;
thematic application including thematic knowledge aggregation and knowledge precipitation;
a project space containing knowledge pushing, learning and knowledge sharing;
personal space containing personal knowledge management and knowledge subscription.
8. The utility model provides a knowledge engineering application system in rice field which characterized in that includes information acquisition and processing module, knowledge storage module, platform building module:
the information acquisition and processing module is used for acquiring the multi-modal data of the rice in the knowledge source, and carrying out data processing on the multi-modal data of the rice based on a natural language processing technology to obtain structured data elements for constructing a knowledge base in the rice field;
the knowledge storage module is used for carrying out storage management on the data elements by adopting an attribute graph model based on a graph database to obtain a rice field knowledge base which is used as a database of a rice field knowledge engineering application platform;
the platform building module is used for building a knowledge engineering application platform in the rice field and comprises a front-end page facing a user and a rear-end system facing a server end, wherein the front-end page comprises a system management and a portal of the knowledge engineering platform of the rice, and the rear-end system comprises data processing and storage management; the user logs in to the knowledge engineering application platform in the rice field through system management, and the engineering application of the knowledge in the rice field is completed through the portal of the knowledge engineering platform according to actual engineering requirements.
9. A rice field knowledge engineering application device comprising a memory for storing a computer program and a processor, characterized in that the processor is adapted to implement the rice field knowledge engineering application method of any one of claims 1-7 when executing the computer program.
10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when used with a computer, implements the rice field knowledge engineering application method of any one of claims 1-7.
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