CN111414492A - Knowledge network construction method and system - Google Patents
Knowledge network construction method and system Download PDFInfo
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- CN111414492A CN111414492A CN202010304008.2A CN202010304008A CN111414492A CN 111414492 A CN111414492 A CN 111414492A CN 202010304008 A CN202010304008 A CN 202010304008A CN 111414492 A CN111414492 A CN 111414492A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
Abstract
The invention discloses a knowledge network construction method and a knowledge network construction system, which comprise the following steps: s1, extracting knowledge, classifying, and distributing the classes; s2, after distribution, the knowledge classification is mutually connected in parallel, and a knowledge network is constructed; s3, coding and positioning the knowledge classification in construction, and carrying out hierarchical separation on the knowledge classification; s4, inputting the addresses into the server after construction is completed, and sequencing the addresses; s5, searching the knowledge network addresses sequenced in the server through the network, the invention has scientific and reasonable structure and safe and convenient use, can better associate knowledge together, better construct the knowledge network, improve the comprehensive effect of the knowledge network, and is convenient for self-checking through constructing the system, thereby reducing the error rate of the knowledge network, and is suitable for popularization and use.
Description
Technical Field
The invention relates to the technical field of network construction, in particular to a knowledge network construction method and a knowledge network construction system.
Background
The knowledge network is a social network among knowledge participants, can realize the creation and transmission of knowledge outside individuals, organizations and organizations, and people can carry out information cooperation and communication through the knowledge network, the aim is to connect the technology with people to realize the effective combination of intellectual capital, structural capital and customer capital, and the knowledge network can be divided into an internal knowledge network and an external knowledge network, wherein the former emphasizes the communication of knowledge between internal workshops and organizations, and the latter emphasizes the organization of external knowledge sources including communities, national social relations and competitors;
however, in the current knowledge network construction method, the construction process is often too complex, and the later correlation and the search among the correlation are inconvenient, so that the retrieval speed of the later knowledge network is reduced.
Disclosure of Invention
The invention provides a knowledge network construction method and a knowledge network construction system, which can effectively solve the problems that the construction process is often too complicated and the mutual correlation and the mutual search are inconvenient in the later period in the construction of the conventional knowledge network construction method in the background art, so that the retrieval speed of the knowledge network in the later period is reduced.
In order to achieve the purpose, the invention provides the following technical scheme: a knowledge network construction method comprises the following steps:
s1, extracting knowledge, classifying, and distributing the classes;
s2, after distribution, the knowledge classification is mutually connected in parallel, and a knowledge network is constructed;
s3, coding and positioning the knowledge classification in construction, and carrying out hierarchical separation on the knowledge classification;
s4, inputting the addresses into the server after construction is completed, and sequencing the addresses;
and S5, searching the knowledge network addresses sorted in the server through the network.
According to the above technical solution, the knowledge classification in step S1 is updated by using the existing network classification as a reference, and after a new knowledge point appears, the classification is performed, and the classification can be performed by placing the knowledge classification under multiple categories and performing parallel classification;
in construction, when ambiguity occurs, annotation needs to be carried out, and when an ambiguous word occurs, association search is carried out on the ambiguous word.
According to the technical scheme, in the step S3, the knowledge network is divided into a tree trunk layer, and a constructed network is divided into a local area network and a wide area network in the process of establishing;
the local area network defines the address of the knowledge network, the network number range is 192.0.0-223.254.254.0, the local area network is divided into a main manager and sub managers in the setting process, only one main manager is provided, the main manager can set the number of the sub managers, the sub managers revise the construction errors of the knowledge network and modify the construction errors, the sub managers can take effect only after being determined by the main manager after modifying the knowledge network, and the main manager has the authority to lock the knowledge network;
the wide area network is only a query and download to the knowledge network.
According to the technical scheme, after the sorting in the step S4 is completed according to the definition sorting, the sorted knowledge network is transmitted to the server and the cloud, and the sorted knowledge network is stored by the definition.
According to the technical scheme, in the step S5, the knowledge network is searched through an APP, and the APP performs information detection on user host information collection, software installation condition detection and repair, background service condition and repair, system running process detection and repair, registry key value detection and repair, Windows patch detection and repair, and external interface starting condition detection and repair.
According to the technical scheme, the server updates the knowledge network regularly in the step S4, adds new knowledge networks, judges word definitions of related words in the network, updates the server and increases the inclusion of the knowledge network.
A system of a knowledge network construction method comprises a data extraction module, a data analysis module, a data construction module, a data search module and a network connection module;
the data extraction module, the data analysis module, the data construction module, the data search module and the network connection module are all installed on the mainboard.
According to the technical scheme, the data extraction module extracts knowledge, removes invalid knowledge points, expands the protection range and judges and removes invalid, wrong and overlapped knowledge points;
the data analysis module classifies knowledge, digitalizes data and carries out conversion retrieval on the data;
the data construction module constructs knowledge and performs self-checking;
the data search module carries out corresponding knowledge retrieval on data in the knowledge network;
and the network connection module transmits the knowledge network to a server and a cloud for storage.
According to the technical scheme, the data construction module is used for constructing the knowledge network by using NET L OGO, SWARM or MAT L AB.
According to the technical scheme, the knowledge network construction equipment comprises the knowledge network construction method and equipment manufactured by the knowledge network construction system.
Compared with the prior art, the invention has the beneficial effects that: the knowledge network data retrieval system is scientific and reasonable in structure, safe and convenient to use, integrates information by classifying knowledge and integrating digital quantity of the knowledge network, facilitates later retrieval and checking, connects knowledge points of the knowledge network in parallel, can have various interpretations for keywords, better retrieves data and associates knowledge together, better constructs the knowledge network, improves the comprehensive effect of the knowledge network, facilitates self-checking through a constructed system, reduces the error rate of the knowledge network, and is suitable for popularization and use.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a schematic flow chart of the method steps of the present invention;
fig. 2 is a schematic block diagram of the system architecture of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1: as shown in fig. 1-2, the present invention provides a technical solution, a knowledge network construction method, comprising the following steps:
s1, extracting knowledge, classifying, and distributing the classes;
s2, after distribution, the knowledge classification is mutually connected in parallel, and a knowledge network is constructed;
s3, coding and positioning the knowledge classification in construction, and carrying out hierarchical separation on the knowledge classification;
s4, inputting the addresses into the server after construction is completed, and sequencing the addresses;
and S5, searching the knowledge network addresses sorted in the server through the network.
According to the technical scheme, the knowledge classification in the step S1 is updated by taking the existing network classification as a reference, and after new knowledge points appear, the knowledge points are classified, and can be placed under a plurality of categories in the classification to be classified in parallel;
in construction, when ambiguity occurs, annotation needs to be carried out, and when an ambiguous word occurs, association search is carried out on the ambiguous word.
According to the technical scheme, in the step S3, the knowledge network is divided into a tree trunk layer, and a constructed network is divided into a local area network and a wide area network in the construction process;
the local area network defines the address of the knowledge network, the network number range is 192.0.0-223.254.254.0, the setting process is divided into a main manager and sub managers, only one main manager is provided, the main manager can set the number of the sub managers, the sub managers revise the construction errors of the knowledge network and modify the construction errors, the sub managers can take effect only after being determined by the main manager after modifying the knowledge network, and the main manager has the authority to lock the knowledge network;
the wide area network is just a query and download to the knowledge network.
According to the technical scheme, after the sorting in the step S4 is finished according to the definition sorting, the sorted knowledge network is transmitted to the server and the cloud, and the sorted knowledge network is stored by the definition.
According to the technical scheme, in the step S5, the knowledge network is searched through an APP, and the APP performs information detection on user host information collection, software installation condition detection and repair, background service condition and repair, system running process detection and repair, registry key value detection and repair, Windows patch detection and repair, external interface starting condition detection and repair.
According to the technical scheme, the server updates the knowledge network regularly in the step S4, adds new knowledge networks, judges word definitions of related words in the network, updates the server and increases the inclusion of the knowledge network.
A system of a knowledge network construction method comprises a data extraction module, a data analysis module, a data construction module, a data search module and a network connection module;
the data extraction module, the data analysis module, the data construction module, the data search module and the network connection module are all installed on the mainboard.
According to the technical scheme, the data extraction module extracts knowledge, removes invalid knowledge points, expands the protection range and judges and removes invalid, wrong and overlapped knowledge points;
the data analysis module classifies knowledge, digitalizes data and carries out conversion and retrieval on the data;
the data construction module constructs knowledge and performs self-checking;
the data search module carries out corresponding knowledge retrieval on data in the knowledge network;
and the network connection module transmits the knowledge network to the server and the cloud for storage.
According to the technical scheme, the data construction module constructs the knowledge network by using NET L OG.
According to the technical scheme, the knowledge network construction equipment comprises the knowledge network construction method and equipment manufactured by the knowledge network construction system.
Example 2: as shown in fig. 1-2, the present invention provides a technical solution, a knowledge network construction method, comprising the following steps:
s1, extracting knowledge, classifying, and distributing the classes;
s2, after distribution, the knowledge classification is mutually connected in parallel, and a knowledge network is constructed;
s3, coding and positioning the knowledge classification in construction, and carrying out hierarchical separation on the knowledge classification;
s4, inputting the addresses into the server after construction is completed, and sequencing the addresses;
and S5, searching the knowledge network addresses sorted in the server through the network.
According to the technical scheme, the knowledge classification in the step S1 is updated by taking the existing network classification as a reference, and after new knowledge points appear, the knowledge points are classified, and can be placed under a plurality of categories in the classification to be classified in parallel;
in construction, when ambiguity occurs, annotation needs to be carried out, and when an ambiguous word occurs, association search is carried out on the ambiguous word.
According to the technical scheme, in the step S3, the knowledge network is divided into a tree trunk layer, and a constructed network is divided into a local area network and a wide area network in the construction process;
the local area network defines the address of the knowledge network, the network number range is 192.0.0-223.254.254.0, the setting process is divided into a main manager and sub managers, only one main manager is provided, the main manager can set the number of the sub managers, the sub managers revise the construction errors of the knowledge network and modify the construction errors, the sub managers can take effect only after being determined by the main manager after modifying the knowledge network, and the main manager has the authority to lock the knowledge network;
the wide area network is just a query and download to the knowledge network.
According to the technical scheme, after the sorting in the step S4 is finished according to the definition sorting, the sorted knowledge network is transmitted to the server and the cloud, and the sorted knowledge network is stored by the definition.
According to the technical scheme, in the step S5, the knowledge network is searched through an APP, and the APP performs information detection on user host information collection, software installation condition detection and repair, background service condition and repair, system running process detection and repair, registry key value detection and repair, Windows patch detection and repair, external interface starting condition detection and repair.
According to the technical scheme, the server updates the knowledge network regularly in the step S4, adds new knowledge networks, judges word definitions of related words in the network, updates the server and increases the inclusion of the knowledge network.
A system of a knowledge network construction method comprises a data extraction module, a data analysis module, a data construction module, a data search module and a network connection module;
the data extraction module, the data analysis module, the data construction module, the data search module and the network connection module are all installed on the mainboard.
According to the technical scheme, the data extraction module extracts knowledge, removes invalid knowledge points, expands the protection range and judges and removes invalid, wrong and overlapped knowledge points;
the data analysis module classifies knowledge, digitalizes data and carries out conversion and retrieval on the data;
the data construction module constructs knowledge and performs self-checking;
the data search module carries out corresponding knowledge retrieval on data in the knowledge network;
and the network connection module transmits the knowledge network to the server and the cloud for storage.
According to the technical scheme, the data construction module constructs the knowledge network by using SWARM.
According to the technical scheme, the knowledge network construction equipment comprises the knowledge network construction method and equipment manufactured by the knowledge network construction system.
Example 3: as shown in fig. 1-2, the present invention provides a technical solution, a knowledge network construction method, comprising the following steps:
s1, extracting knowledge, classifying, and distributing the classes;
s2, after distribution, the knowledge classification is mutually connected in parallel, and a knowledge network is constructed;
s3, coding and positioning the knowledge classification in construction, and carrying out hierarchical separation on the knowledge classification;
s4, inputting the addresses into the server after construction is completed, and sequencing the addresses;
and S5, searching the knowledge network addresses sorted in the server through the network.
According to the technical scheme, the knowledge classification in the step S1 is updated by taking the existing network classification as a reference, and after new knowledge points appear, the knowledge points are classified, and can be placed under a plurality of categories in the classification to be classified in parallel;
in construction, when ambiguity occurs, annotation needs to be carried out, and when an ambiguous word occurs, association search is carried out on the ambiguous word.
According to the technical scheme, in the step S3, the knowledge network is divided into a tree trunk layer, and a constructed network is divided into a local area network and a wide area network in the construction process;
the local area network defines the address of the knowledge network, the network number range is 192.0.0-223.254.254.0, the setting process is divided into a main manager and sub managers, only one main manager is provided, the main manager can set the number of the sub managers, the sub managers revise the construction errors of the knowledge network and modify the construction errors, the sub managers can take effect only after being determined by the main manager after modifying the knowledge network, and the main manager has the authority to lock the knowledge network;
the wide area network is just a query and download to the knowledge network.
According to the technical scheme, after the sorting in the step S4 is finished according to the definition sorting, the sorted knowledge network is transmitted to the server and the cloud, and the sorted knowledge network is stored by the definition.
According to the technical scheme, in the step S5, the knowledge network is searched through an APP, and the APP performs information detection on user host information collection, software installation condition detection and repair, background service condition and repair, system running process detection and repair, registry key value detection and repair, Windows patch detection and repair, external interface starting condition detection and repair.
According to the technical scheme, the server updates the knowledge network regularly in the step S4, adds new knowledge networks, judges word definitions of related words in the network, updates the server and increases the inclusion of the knowledge network.
A system of a knowledge network construction method comprises a data extraction module, a data analysis module, a data construction module, a data search module and a network connection module;
the data extraction module, the data analysis module, the data construction module, the data search module and the network connection module are all installed on the mainboard.
According to the technical scheme, the data extraction module extracts knowledge, removes invalid knowledge points, expands the protection range and judges and removes invalid, wrong and overlapped knowledge points;
the data analysis module classifies knowledge, digitalizes data and carries out conversion and retrieval on the data;
the data construction module constructs knowledge and performs self-checking;
the data search module carries out corresponding knowledge retrieval on data in the knowledge network;
and the network connection module transmits the knowledge network to the server and the cloud for storage.
According to the technical scheme, the data construction module constructs the knowledge network by using MAT L AB.
According to the technical scheme, the knowledge network construction equipment comprises the knowledge network construction method and equipment manufactured by the knowledge network construction system.
Compared with the prior art, the invention has the beneficial effects that: the knowledge network data retrieval system is scientific and reasonable in structure, safe and convenient to use, integrates information by classifying knowledge and integrating digital quantity of the knowledge network, facilitates later retrieval and checking, connects knowledge points of the knowledge network in parallel, can have various interpretations for keywords, better retrieves data and associates knowledge together, better constructs the knowledge network, improves the comprehensive effect of the knowledge network, facilitates self-checking through a constructed system, reduces the error rate of the knowledge network, and is suitable for popularization and use.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A knowledge network construction method is characterized in that: the method comprises the following steps:
s1, extracting knowledge, classifying, and distributing the classes;
s2, after distribution, the knowledge classification is mutually connected in parallel, and a knowledge network is constructed;
s3, coding and positioning the knowledge classification in construction, and carrying out hierarchical separation on the knowledge classification;
s4, inputting the addresses into the server after construction is completed, and sequencing the addresses;
and S5, searching the knowledge network addresses sorted in the server through the network.
2. The method according to claim 1, wherein the knowledge classification in step S1 is updated by referring to the existing network classification, and after a new knowledge point appears, the classification is performed, and the classification can be performed in parallel under multiple categories;
in construction, when ambiguity occurs, annotation needs to be carried out, and when an ambiguous word occurs, association search is carried out on the ambiguous word.
3. The knowledge network construction method according to claim 1, wherein the knowledge network is divided into a trunk level in step S3, and the construction network is divided into a local area network and a wide area network in the construction;
the local area network defines the address of the knowledge network, the network number range is 192.0.0-223.254.254.0, the local area network is divided into a main manager and sub managers in the setting process, only one main manager is provided, the main manager can set the number of the sub managers, the sub managers revise the construction errors of the knowledge network and modify the construction errors, the sub managers can take effect only after being determined by the main manager after modifying the knowledge network, and the main manager has the authority to lock the knowledge network;
the wide area network is only a query and download to the knowledge network.
4. The knowledge network construction method of claim 1, wherein in the step S4, after the sorting is completed according to the definition, the sorted knowledge network is transmitted to the server and the cloud, and the sorted knowledge network is stored by the definition.
5. The knowledge network construction method of claim 1, wherein in step S5, the knowledge network is searched for by APP, and the APP performs information detection on user host information collection, software installation condition detection and repair, background service condition and repair, system running process detection and repair, registry key value detection and repair, Windows patch detection and repair, external connection port activation condition detection and repair.
6. The method as claimed in claim 1, wherein the server in step S4 updates the knowledge network periodically, adds new knowledge network, determines term definition for related terms in the network, and updates the server to increase the containment of the knowledge network.
7. The system of the knowledge network construction method according to any one of claims 1 to 6, comprising a data extraction module, a data analysis module, a data construction module, a data search module and a network connection module;
the data extraction module, the data analysis module, the data construction module, the data search module and the network connection module are all installed on the mainboard.
8. The system of the knowledge network construction method according to claim 7, wherein the data extraction module extracts knowledge, removes invalid knowledge points, expands a protection range, and determines invalid, wrong, and overlapped knowledge points;
the data analysis module classifies knowledge, digitalizes data and carries out conversion retrieval on the data;
the data construction module constructs knowledge and performs self-checking;
the data search module carries out corresponding knowledge retrieval on data in the knowledge network;
and the network connection module transmits the knowledge network to a server and a cloud for storage.
9. The system of claim 8, wherein the data construction module is used for constructing the knowledge network by using NET L OGO, SWARM or MAT L AB.
10. A knowledge network construction device, comprising a device made by the knowledge network construction method and system of claims 1-9.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114519131A (en) * | 2021-12-29 | 2022-05-20 | 航天科工网络信息发展有限公司 | Knowledge fusion processing method and device for heterogeneous resources |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114519131A (en) * | 2021-12-29 | 2022-05-20 | 航天科工网络信息发展有限公司 | Knowledge fusion processing method and device for heterogeneous resources |
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