CN109977419A - A kind of knowledge mapping building system - Google Patents
A kind of knowledge mapping building system Download PDFInfo
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- CN109977419A CN109977419A CN201910280117.2A CN201910280117A CN109977419A CN 109977419 A CN109977419 A CN 109977419A CN 201910280117 A CN201910280117 A CN 201910280117A CN 109977419 A CN109977419 A CN 109977419A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
- G06F40/295—Named entity recognition
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
A kind of knowledge mapping building system, including the generation of MIM message input module, conversion module, extraction module, word segmentation module, filtering module, triple identification module, central processing unit, knowledge mapping and memory module and database module；MIM message input module and conversion module communication connection；Extraction module and conversion module communication connection, and extraction module and word segmentation module communication connection；Filtering module and word segmentation module communication connection, and filtering module is connect with central processing unit communication；Database module is connect with central processing unit communication；Triple identification module is connect with central processing unit communication, triple identification module and database module communication connection；Knowledge mapping generates and memory module is connect with central processing unit communication.The convenient knowledge mapping that typing is carried out to combine present knowledge formation new to the knowledge newly updated of the present invention, thus facilitate transmission of knowledge with exchange.
Description
Technical field
The present invention relates to knowledge mapping constructing technology fields more particularly to a kind of knowledge mapping to construct system.
Background technique
Knowledge mapping is also known as mapping knowledge domains；Knowledge mapping is known as knowledge domain visualization or knowledge in books and information group
Field maps map, is a series of a variety of different figures of explicit knowledge's development process and structural relation, uses visualization technique
Description knowledge resource and its carrier are simultaneously excavated, are analyzed, constructing, drawing and explicit knowledge and connecting each other between them.Building
Knowledge mapping is the current core realizing artificial intelligence technology and applying in specific industry field.The main base of previous knowledge mapping
In existing subject teaching material and Document Knowledge, obtained by secondary operation and editor；With the development of science and technology, every field is known
Know update and extension speed is exceedingly fast, wherein only a small amount of knowledge can be browsed by all kinds of encyclopaedia query sites, and knowledge is all
It is unstructured and partly-structured data；Most of knowledge updated need to be added in books and document, and by books and
The form exchange of document is then very inconvenient, be easy to cause the lag of information；The knowledge that each field is updated passes through knowledge mapping
Form is shown, and is conducive to people to the browsing of relevant information and is conducive to the exchange of knowledge, but existing knowledge mapping
Building needs to have put into a large amount of investment of artificial and time, and the low efficiency for constructing knowledge mapping is at high cost.
Summary of the invention
(1) goal of the invention
To solve technical problem present in background technique, the present invention proposes a kind of knowledge mapping building system, the present invention
The convenient knowledge mapping that typing is carried out to combine present knowledge formation new to the knowledge newly updated, thus convenient to transmission of knowledge
With exchange.
(2) technical solution
To solve the above problems, the present invention provides a kind of knowledge mappings to construct system, including MIM message input module, conversion
Module, extraction module, word segmentation module, filtering module, triple identification module, central processing unit, knowledge mapping generate and storage
Module and database module；
MIM message input module and conversion module communication connection, MIM message input module is for inputting information A, and information input mould
Information A is sent to conversion module by block；Conversion module is used to information A being converted to structural data B；
Extraction module and conversion module communication connection, and extraction module and word segmentation module communication connection；Extraction module is used for
It extracts structural data B and the structured data B of extraction is sent to word segmentation module；Word segmentation module is used for structured data B
It is segmented and obtains multiple content of text segment C；
Filtering module and word segmentation module communication connection, and filtering module is connect with central processing unit communication；Filtering module is used
It is filtered in by obtained multiple content of text segment C, and obtains the entity information D of multiple critical entities；Filtering module is used
In the entity information D of multiple critical entities is sent to central processing unit；
Database module is connect with central processing unit communication, and database module is used to store the entire infrastructure in the field information A
Change data；
Triple identification module is connect with central processing unit communication, and triple identification module and database module communication connect
It connects；Triple identification module is used for the entity information D of multiple critical entities respectively with the data in database module according to reality
Body relationship is melted, and new structured data E is generated；
Knowledge mapping generates and memory module is connect with central processing unit communication, and knowledge mapping generates and memory module is used for
It obtains new structured data E and generates corresponding knowledge mapping F, and knowledge mapping F is stored.
Preferably, the information A of MIM message input module input includes structural data, non-structured data and semi-structured
Data.
It preferably, further include data examination module；Data examination module for obtaining the unstructured of the field information A automatically
Data and semi-structured data, and structural data is converted by the unstructured data of above-mentioned acquisition and semi-structured data；
The structural data of acquisition is sent to database mould by data examination module and database module communication connection, data examination module
Block.
It preferably, further include display module；Display module is connect with central processing unit communication, and display module is for showing life
At knowledge mapping F.
Preferably, triple identification module includes the first identification matching unit, the second identification matching unit, third identification
With unit and determination unit；
First identification matching unit is used at least one keyword and information A neck in the knowledge content of text segment
Field theme in the entire infrastructure data in domain is matched, and determines the field theme of the knowledge content of text segment；
Second identification matching unit is at least one keyword in the entity information D of multiple critical entities according to default
The rule model that includes with the entire infrastructure data in the field corresponding information A matched, it is determining with multiple critical entities
The matched model of entity information D and multiple critical entities entity information D knowledge meta-instance；
Third identifies that matching unit is used at least one keyword in the entity information D of multiple critical entities according to pre-
If rule matched with the attribute of corresponding model, determine knowledge meta-instance in the entity information D of multiple critical entities
Attribute；
Determination unit determines Knowledge Element for the attribute of knowledge meta-instance in the entity information D of the multiple critical entities of combination
Incidence relation between example.
Preferably, the application method of above-mentioned a kind of knowledge mapping building system, specific steps are as follows:
S1, information A is inputted into MIM message input module；
Information A is converted to structural data B by S2, conversion module；
S3, extraction module extract structural data B and the structured data B of extraction are sent to word segmentation module；
S4, word segmentation module by structured data B with being segmented and obtain multiple content of text segment C；
Obtained multiple content of text segment C are filtered, and obtain the entity of multiple critical entities by S5, filtering module
Information D；The entity information D of multiple critical entities is sent to central processing unit by filtering module；
S6, triple identification module press the entity information D of multiple critical entities with the data in database module respectively
Melted according to entity relationship, generates new structured data E；
S7, knowledge mapping generate and memory module will obtain new structured data E and generate corresponding knowledge mapping F, and
Knowledge mapping F is stored；
S8, display module show the knowledge mapping F of generation.
Above-mentioned technical proposal of the invention has a following beneficial technical effect: the present invention by MIM message input module by certain
The knowledge including non-structured data and partly-structured data newly updated in one field is inputted, and the knowledge of input is complete
Portion is converted into structural data；Structural data is extracted and is segmented；To the entity letter of multiple critical entities after participle
Breath is melted with currently existing data according to entity relationship, and ultimately generates the corresponding knowledge mapping of up-to-date knowledge；Pass through this
The convenient knowledge mapping that typing is carried out to combine present knowledge formation new to the knowledge newly updated of invention, thus convenient to knowledge
It propagates and exchanges.
Detailed description of the invention
Fig. 1 is the principle frame that a kind of knowledge mapping proposed by the present invention constructs system.
Fig. 2 is the flow chart for the application method that a kind of knowledge mapping proposed by the present invention constructs system.
Appended drawing reference: 1, MIM message input module；2, conversion module；3, extraction module；4, word segmentation module；5, filtering module；
6, triple identification module；7, central processing unit；8, knowledge mapping generation and memory module；9, database module；10, data are examined
Look into module.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, With reference to embodiment and join
According to attached drawing, the present invention is described in more detail.It should be understood that these descriptions are merely illustrative, and it is not intended to limit this hair
Bright range.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid this is unnecessarily obscured
The concept of invention.
Fig. 1 is the principle frame that a kind of knowledge mapping proposed by the present invention constructs system.
Fig. 2 is the flow chart for the application method that a kind of knowledge mapping proposed by the present invention constructs system.
As shown in Figure 1, a kind of knowledge mapping proposed by the present invention constructs system, including MIM message input module 1, conversion module
2, extraction module 3, word segmentation module 4, filtering module 5, triple identification module 6, central processing unit 7, knowledge mapping are generated and are deposited
Store up module 8 and database module 9；
MIM message input module 1 and 2 communication connection of conversion module, MIM message input module 1 is for inputting information A, and information is defeated
Enter module 1 and information A is sent to conversion module 2；Conversion module 2 is used to information A being converted to structural data B；
Extraction module 3 and 2 communication connection of conversion module, and extraction module 3 and 4 communication connection of word segmentation module；Extraction module 3
For extracting structural data B and the structured data B of extraction being sent to word segmentation module 4；Word segmentation module 4 is used for digitization
Structure B is segmented and is obtained multiple content of text segment C；
Filtering module 5 and 4 communication connection of word segmentation module, and filtering module 5 and 7 communication connection of central processing unit；Filter module
Block 5 obtains the entity information D of multiple critical entities for being filtered obtained multiple content of text segment C；Filter module
Block 5 is used to the entity information D of multiple critical entities being sent to central processing unit 7；
Database module 9 and 7 communication connection of central processing unit, database module 9 are used to store whole knots in the field information A
Structure data；
Triple identification module 6 and 7 communication connection of central processing unit, triple identification module 6 and database module 9 communicate
Connection；Triple identification module 6 with the data in database module 9 for pressing the entity information D of multiple critical entities respectively
Melted according to entity relationship, generates new structured data E；
Knowledge mapping generation and memory module 8 and 7 communication connection of central processing unit, knowledge mapping generates and memory module 8
Corresponding knowledge mapping F is generated for obtaining new structured data E, and knowledge mapping F is stored.
In an alternative embodiment, MIM message input module 1 input information A include structural data, it is unstructured
Data and partly-structured data.
It should be noted that then information A, which does not need to be converted, can directly carry out when information A is structural data
Subsequent operation.
It in an alternative embodiment, further include data examination module 10；Data examination module 10 for obtaining automatically
The unstructured data and semi-structured data in the field information A, and by the unstructured data of above-mentioned acquisition and semi-structured number
According to being converted into structural data；Data examination module 10 and 9 communication connection of database module, data examination module 10 is by acquisition
Structural data is sent to database module 9.
It in an alternative embodiment, further include display module；Display module and 7 communication connection of central processing unit are shown
Show module for showing the knowledge mapping F generated.
In an alternative embodiment, triple identification module 6 includes the first identification matching unit, the second identification matching
Unit, third identification matching unit and determination unit；
First identification matching unit is used at least one keyword and information A neck in the knowledge content of text segment
Field theme in the entire infrastructure data in domain is matched, and determines the field theme of the knowledge content of text segment；
Second identification matching unit is at least one keyword in the entity information D of multiple critical entities according to default
The rule model that includes with the entire infrastructure data in the field corresponding information A matched, it is determining with multiple critical entities
The matched model of entity information D and multiple critical entities entity information D knowledge meta-instance；
Third identifies that matching unit is used at least one keyword in the entity information D of multiple critical entities according to pre-
If rule matched with the attribute of corresponding model, determine knowledge meta-instance in the entity information D of multiple critical entities
Attribute；
Determination unit determines Knowledge Element for the attribute of knowledge meta-instance in the entity information D of the multiple critical entities of combination
Incidence relation between example.
As shown in Fig. 2, a kind of knowledge mapping proposed by the present invention constructs System Utilization Procedure, specific steps are as follows:
S1, information A is inputted into MIM message input module 1；
Information A is converted to structural data B by S2, conversion module 2；
S3, extraction module 3 extract structural data B and the structured data B of extraction are sent to word segmentation module 4；
S4, word segmentation module 4 by structured data B with being segmented and obtain multiple content of text segment C；
Obtained multiple content of text segment C are filtered, and obtain the reality of multiple critical entities by S5, filtering module 5
Body information D；The entity information D of multiple critical entities is sent to central processing unit 7 by filtering module 5；
S6, triple identification module 6 by the entity information D of multiple critical entities respectively with the data in database module 9
Melted according to entity relationship, generates new structured data E；
S7, knowledge mapping generate and memory module 8 will obtain new structured data E and generate corresponding knowledge mapping F, and
Knowledge mapping F is stored；
S8, display module show the knowledge mapping F of generation.
It should be understood that above-mentioned specific embodiment of the invention is used only for exemplary illustration or explains of the invention
Principle, but not to limit the present invention.Therefore, that is done without departing from the spirit and scope of the present invention is any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change example.
Claims (6)
1. a kind of knowledge mapping constructs system, which is characterized in that including MIM message input module (1), conversion module (2), extract mould
Block (3), word segmentation module (4), filtering module (5), triple identification module (6), central processing unit (7), knowledge mapping generate and
Memory module (8) and database module (9)；
MIM message input module (1) and conversion module (2) communication connection, MIM message input module (1) is for inputting information A, and information
Information A is sent to conversion module (2) by input module (1)；Conversion module (2) is used to information A being converted to structural data B；
Extraction module (3) and conversion module (2) communication connection, and extraction module (3) and word segmentation module (4) communication connection；It extracts
Module (3) is for extracting structural data B and the structured data B of extraction being sent to word segmentation module (4)；Word segmentation module (4)
For structured data B to be segmented to and obtained multiple content of text segment C；
Filtering module (5) and word segmentation module (4) communication connection, and filtering module (5) and central processing unit (7) communication connection；It crosses
Filter module (5) obtains the entity information D of multiple critical entities for being filtered obtained multiple content of text segment C；
Filtering module (5) is used to the entity information D of multiple critical entities being sent to central processing unit (7)；
Database module (9) and central processing unit (7) communication connection, database module (9) are used to store the whole in the field information A
Structural data；
Triple identification module (6) and central processing unit (7) communication connection, triple identification module (6) and database module (9)
Communication connection；Triple identification module (6) is used for the entity information D of multiple critical entities respectively and in database module (9)
Data melted according to entity relationship, generate new structured data E；
Knowledge mapping generation and memory module (8) and central processing unit (7) communication connection, knowledge mapping generates and memory module
(8) corresponding knowledge mapping F is generated for obtaining new structured data E, and knowledge mapping F is stored.
2. a kind of knowledge mapping according to claim 1 constructs system, which is characterized in that MIM message input module (1) input
Information A include structural data, non-structured data and partly-structured data.
3. a kind of knowledge mapping according to claim 1 constructs system, which is characterized in that further include data examination module
(10)；Unstructured data and semi-structured data of the data examination module (10) for the acquisition field information A automatically, and will be upper
The unstructured data and semi-structured data for stating acquisition are converted into structural data；Data examination module (10) and database mould
The structural data of acquisition is sent to database module (9) by block (9) communication connection, data examination module (10).
4. a kind of knowledge mapping according to claim 1 constructs system, which is characterized in that further include display module；Display
Module and central processing unit (7) communication connection, display module are used to show the knowledge mapping F generated.
5. a kind of knowledge mapping according to claim 1 constructs system, which is characterized in that triple identification module (6) packet
Include the first identification matching unit, the second identification matching unit, third identification matching unit and determination unit；
First identification matching unit be used for by the knowledge content of text segment at least one keyword and information A field
Field theme in entire infrastructure data is matched, and determines the field theme of the knowledge content of text segment；
Second identification matching unit is at least one keyword in the entity information D of multiple critical entities according to preset rule
The model for then including with the entire infrastructure data in the field corresponding information A is matched, the determining reality with multiple critical entities
The knowledge meta-instance of the entity information D of the matched model of body information D and multiple critical entities；
Third identifies that matching unit is used at least one keyword in the entity information D of multiple critical entities according to preset
The regular attribute with corresponding model is matched, and determines the attribute of knowledge meta-instance in the entity information D of multiple critical entities；
Determination unit determines knowledge meta-instance for the attribute of knowledge meta-instance in the entity information D of the multiple critical entities of combination
Between incidence relation.
6. a kind of -5 any knowledge mappings construct system according to claim 1, which is characterized in that knowledge mapping building system
The application method of system, specific steps are as follows:
S1, information A is inputted into MIM message input module (1)；
Information A is converted to structural data B by S2, conversion module (2)；
S3, extraction module (3) extract structural data B and the structured data B of extraction are sent to word segmentation module (4)；
S4, word segmentation module (4) by structured data B with being segmented and obtain multiple content of text segment C；
Obtained multiple content of text segment C are filtered, and obtain the entity of multiple critical entities by S5, filtering module (5)
Information D；The entity information D of multiple critical entities is sent to central processing unit (7) by filtering module (5)；
S6, triple identification module (6) by the entity information D of multiple critical entities respectively with the data in database module (9)
Melted according to entity relationship, generates new structured data E；
S7, knowledge mapping generate and memory module (8) will obtain new structured data E and generate corresponding knowledge mapping F, and will
Knowledge mapping F is stored；
S8, display module show the knowledge mapping F of generation.
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