CN105205180B - A kind of evaluation method and device of knowledge mapping - Google Patents
A kind of evaluation method and device of knowledge mapping Download PDFInfo
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- CN105205180B CN105205180B CN201510708940.0A CN201510708940A CN105205180B CN 105205180 B CN105205180 B CN 105205180B CN 201510708940 A CN201510708940 A CN 201510708940A CN 105205180 B CN105205180 B CN 105205180B
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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
- G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
Abstract
The invention discloses a kind of evaluation method of knowledge mapping and devices.Method includes：Obtain the identity of operation data and user of the user when local terminal operates；According to operation data and identity, the personal knowledge collection of illustrative plates of user is created；From determining object knowledge node corresponding with each knowledge node in personal knowledge collection of illustrative plates in pre-stored mapping knowledge domains；Count the second relevance total value of the first relevance total value and corresponding all object knowledge nodes of all knowledge nodes in personal knowledge collection of illustrative plates；The ratio for counting the first relevance total value and the second relevance total value, to evaluate personal knowledge collection of illustrative plates.Technical solution through the invention, the degree of understanding that knowledge module or knowledge point that user has had gained some understanding to oneself can be accurately determined out is enabled a user to according to the degree of awareness or degree of understanding to the knowledge point or knowledge module that have understood determined.
Description
Technical field
The present invention relates to knowledge mapping technical field, more particularly to the evaluation method and device of a kind of knowledge mapping.
Background technology
Currently, with the development of internet, the information content of user's contact is more and more, and the information of understanding is more and more, uses
The knowledge base of family individual is also more and more abundant, and inevitably, and user recognizes some or certain knowledge modules or knowledge point
Knowing has careless mistake, in order to preferably improve the level of oneself, keeps the knowledge base of oneself more comprehensive, user usually need to
And existing knowledge base is evaluated, to determine the understanding journey of knowledge module or knowledge point that user has understood oneself
Degree, but the prior art and there is no evaluation user knowledge base scheme therefore bring many inconvenience to user.
Invention content
The present invention provides a kind of evaluation method and device of knowledge mapping, to carry out regular job in local terminal according to user
When operation data and itself identity, create the personal knowledge collection of illustrative plates i.e. personal knowledge base of the user of the user, so
The personal knowledge collection of illustrative plates is compared with known mapping knowledge domains afterwards, to determined from the mapping knowledge domains with
The identical object knowledge node of knowledge module or knowledge point of each knowledge node characterization in personal knowledge collection of illustrative plates, then counts
First relevance total value of all knowledge nodes in personal knowledge collection of illustrative plates and the second relevance of all object knowledge nodes are total
Value, and according to the ratio of the first relevance total value and the second relevance total value, give a mark for the personal knowledge collection of illustrative plates, with to a
People's knowledge mapping is evaluated, so that it is determined that going out the understanding journey of knowledge module or knowledge point that user has had gained some understanding to oneself
Degree so that user it is clear oneself to the single cognition degree of each knowledge module or knowledge point and to these knowledge modules or knowledge point
Whole power of a test, enable a user to according to the cognition journey to the knowledge point or knowledge module that have understood determined
The knowledge that understanding is not very deep is accurately drawn and supplemented to degree or degree of understanding in the later stage, to enrich oneself in all directions
Knowledge base.
The present invention provides a kind of evaluation method of knowledge mapping, including：Obtain operation of the user when local terminal operates
The identity of data and the user；
According to the operation data and the identity, the personal knowledge collection of illustrative plates of the user is created；
It is opposite with each knowledge node in the personal knowledge collection of illustrative plates from being determined in pre-stored mapping knowledge domains
The object knowledge node answered；
Count the first relevance total value of all knowledge nodes in the personal knowledge collection of illustrative plates and corresponding all mesh
Mark the second relevance total value of knowledge node；
The ratio for counting the first relevance total value and the second relevance total value, with to the personal knowledge collection of illustrative plates
It is evaluated.
In one embodiment, the first relevance of all knowledge nodes in the statistics personal knowledge collection of illustrative plates is total
Value, including：
Be connected with each knowledge node in individual's collection of illustrative plates at least one first is determined close to knowledge node,
In, described first close to knowledge node include the upper level knowledge node being connected with each knowledge node and next stage knowledge
Node；
Determine each knowledge node with described at least one first close to each of knowledge node close to knowledge section
The third relevance total value of point；
According to each knowledge node with described each first close to knowledge node third relevance total value, determine
Each knowledge node with all first close to knowledge node the sum of third relevance total value, and by the personal knowledge
The summation of the sum of the third relevance total value of each knowledge node in all knowledge nodes in collection of illustrative plates is closed as described first
Connection property total value.
In one embodiment, the second relevance total value of all object knowledge nodes of statistics, including：
Be connected with each object knowledge node at least one second is determined close to knowledge node, wherein described second tightly
Adjacent knowledge node includes the upper level knowledge node being connected with each object knowledge node and next stage knowledge node；
Determine that each object knowledge node is tight close to each of knowledge node second with described at least one second
4th relevance total value of adjacent knowledge node；
According to each object knowledge node with described each second close to knowledge node the 4th relevance total value, really
Make each object knowledge node with all second close to knowledge node the sum of the 4th relevance total value, and will own
The summation of the sum of the 4th relevance total value of each object knowledge node in object knowledge node is as second relevance
Total value.
In one embodiment, the operation data includes：In search key that the local terminal receives, the local terminal
Pre-stored history web pages browse at least one in record, pre-stored log, the document of download and the topic of concern
Data.
The present invention also provides a kind of evaluating apparatus of knowledge mapping, including：Acquisition module, for obtain user local terminal into
The identity of operation data and the user when row operation；
Creation module, for according to the operation data and the identity, creating the personal knowledge figure of the user
Spectrum；
Determining module, for each of being determined from pre-stored mapping knowledge domains with the personal knowledge collection of illustrative plates
The corresponding object knowledge node of knowledge node；
First statistical module, the first relevance total value for counting all knowledge nodes in the personal knowledge collection of illustrative plates
With the second relevance total value of corresponding all object knowledge nodes；
Second statistical module, the ratio for counting the first relevance total value and the second relevance total value, with
The personal knowledge collection of illustrative plates is evaluated.
In one embodiment, first statistical module includes：
First determination sub-module, for determining be connected with each knowledge node in individual's collection of illustrative plates at least one the
One close to knowledge node, wherein described first close to knowledge node includes that the upper level being connected with each knowledge node is known
Know node and next stage knowledge node；
Second determination sub-module, for determining each knowledge node with described at least one first close to knowledge node
Each of close to knowledge node third relevance total value；
Third determination sub-module, for according to each knowledge node and described each first close to the of knowledge node
Three relevance total values, determine each knowledge node with all first close to knowledge node third relevance total value it
With, and by the sum of the third relevance total value of each knowledge node in all knowledge nodes in the personal knowledge collection of illustrative plates
Summation is as the first relevance total value.
In one embodiment, first statistical module includes：
4th determination sub-module, for determining be connected with each object knowledge node at least one second close to knowledge section
Point, wherein described second close to knowledge node include the upper level knowledge node being connected with each object knowledge node and
Next stage knowledge node；
5th determination sub-module, for determining each object knowledge node with described at least one second close to knowledge
Fourth relevance total value of each of the node second close to knowledge node；
6th determination sub-module, for according to each object knowledge node with described each second close to knowledge node
The 4th relevance total value, determine that each object knowledge node is associated with all second close to the 4th of knowledge node
The sum of property total value, and by the summation of the sum of the 4th relevance total value of each object knowledge node in all object knowledge nodes
As the second relevance total value.
In one embodiment, the operation data includes：In search key that the local terminal receives, the local terminal
Pre-stored history web pages browse at least one in record, pre-stored log, the document of download and the topic of concern
Data.
The technical scheme provided by this disclosed embodiment can include the following benefits：
Can be that the user creates according to the identity of operation data and itself of the user when local terminal carries out regular job
Build the personal knowledge collection of illustrative plates i.e. personal knowledge base of the user, then by the personal knowledge collection of illustrative plates and known mapping knowledge domains into
Row compares, thus from the knowledge mould for determining to characterize with each knowledge node in personal knowledge collection of illustrative plates in the mapping knowledge domains
Then the identical object knowledge node of block or knowledge point counts the first relevance of all knowledge nodes in personal knowledge collection of illustrative plates
Second relevance total value of total value and all object knowledge nodes, and according to the first relevance total value and the second relevance total value
Ratio is given a mark for the personal knowledge collection of illustrative plates, to evaluate personal knowledge collection of illustrative plates, so that it is determined that going out user to oneself
The degree of understanding of the knowledge module or knowledge point had gained some understanding so that user it is clear oneself to each knowledge module or knowledge point
Single cognition degree and the whole power of a test to these knowledge modules or knowledge point, enable a user to according to pair determined
The degree of awareness or degree of understanding of the knowledge point or knowledge module that have understood accurately are drawn in the later stage and supplement understanding not
It is very deep knowledge, to enrich the knowledge base of oneself in all directions.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Description of the drawings
Attached drawing is used to provide further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of the evaluation method of knowledge mapping shown according to an exemplary embodiment.
Fig. 2 is the flow chart of the evaluation method of another knowledge mapping shown according to an exemplary embodiment.
Fig. 3 is the flow chart according to the evaluation method of another knowledge mapping shown in an exemplary embodiment.
Fig. 4 is a kind of block diagram of the evaluating apparatus of knowledge mapping shown according to an exemplary embodiment.
Fig. 5 is the block diagram of the evaluating apparatus of another knowledge mapping shown according to an exemplary embodiment.
Fig. 6 is the block diagram according to the evaluating apparatus of another knowledge mapping shown in an exemplary embodiment.
Specific implementation mode
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein
Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
In the related technology, with the development of internet, the information content of user's contact is more and more, and the information of understanding is increasingly
More, the knowledge base of individual subscriber is also more and more abundant, and inevitably, and user is to some or certain knowledge modules or knowledge point
Cognition have careless mistake, in order to preferably improve the level of oneself, keep the knowledge base of oneself more comprehensive, user usually needs
Pair and existing knowledge base evaluate, to determine the understanding of knowledge module or knowledge point that user has understood oneself
Degree, but the prior art and there is no evaluation user knowledge base scheme therefore bring many inconvenience to user.
In order to solve the above-mentioned technical problem, the embodiment of the present disclosure provides a kind of evaluation method of knowledge mapping, this method
Suitable for the assessment process of knowledge mapping, system or device, as shown in Figure 1,
Step S101 obtains the identity of operation data and the user of the user when local terminal operates；Wherein,
Operation data may include：The history web pages browsing record for the user being pre-stored in search key that local terminal receives, local terminal,
Pre-stored log, the document that user downloads, concern topic and pass through document that write operation formed, even chat note
One or more data such as record, the identity of user can be the ID card No. of the user, name, email address, mobile phone
One or more marks for the unique mark user identity such as number, the preset pet name.
Step S102 creates the personal knowledge collection of illustrative plates of the user according to the operation data and the identity；
According to the identity of the regular job data and the user of user, the personal knowledge collection of illustrative plates of the user can be created
That is the personal knowledge base of the user, and the personal knowledge collection of illustrative plates is a topological diagram being transformed by the personal knowledge base, it
It is made of line between knowledge node and node, each knowledge node in the personal knowledge collection of illustrative plates indicates a knowledge point or one
A knowledge module.
Step S103, from being determined in pre-stored mapping knowledge domains and each knowledge in the personal knowledge collection of illustrative plates
The corresponding object knowledge node of node；
Object knowledge node corresponding with each knowledge node in the personal knowledge collection of illustrative plates is exactly and the personal knowledge
The identical node of knowledge module or knowledge point of each knowledge node characterization in collection of illustrative plates, wherein the existing skill of mapping knowledge domains
The theory and method and meterological quotation by subjects such as applied mathematics, graphics, Information Visualization Technology, information sciences in art
Analysis, the methods of Co-occurrence Analysis combine, and using visual collection of illustrative plates visually show the nuclear structure of subject, developing history,
Disciplinary Frontiers and whole Knowledge framework and the modern theory for reaching Multidisciplinary Integration purpose, similarly, in mapping knowledge domains
Each knowledge node also represent a knowledge module or knowledge point, in addition, due to each knowledge node in mapping knowledge domains
Each knowledge point of characterization or the content of knowledge module are abundant and comprehensive, and therefore, which can be used for making
To refer to, to weigh individual subscriber to the knowledge point having had gained some understanding or the degree of awareness of knowledge module.
Step S104 counts the first relevance total value of all knowledge nodes in the personal knowledge collection of illustrative plates and corresponding
All object knowledge nodes the second relevance total value；
Due to all can be relevant between different knowledge points, thus first of all knowledge nodes in personal knowledge collection of illustrative plates
Relevance total value represents all knowledge points that individual subscriber has been had gained some understanding or the overall knowledge relevance that knowledge module is reached,
Similarly, the second relevance total value of all object knowledge nodes represents same knowledge point or knowledge in mapping knowledge domains
Knowledge connection size between module or abundant degree.
Step S105 counts the ratio of the first relevance total value and the second relevance total value, with to described
People's knowledge mapping is evaluated.
The ratio of the first relevance total value and the second relevance total value is all knowing of having had gained some understanding of individual subscriber
Know point or the overall knowledge relevance knowledge point identical as in mapping knowledge domains that is reached of knowledge module or knowledge module
The ratio of knowledge connection size therefore, can be with by counting the ratio of the first relevance total value and the second relevance total value
User accurately is weighed out to having had gained some understanding with identical knowledge point in the mapping knowledge domains or knowledge module reference
The overall degree of understanding of all knowledge points or knowledge module, it is comprehensive to facilitate user accurately to draw relevant knowledge the later stage
Enrich the knowledge base of oneself in ground.Wherein, ratio is higher indicates user to the knowledge point had gained some understanding or knowledge module
Solution degree is deeper, more comprehensive to the understanding of these knowledge points or knowledge module.
As shown in Fig. 2, in one embodiment, above-mentioned steps S104 can be performed as：
Step A1 determines be connected with each knowledge node in individual's collection of illustrative plates at least one first close to knowledge section
Point, wherein described first close to knowledge node includes the upper level knowledge node being connected with each knowledge node and next
Grade knowledge node；
Due to the relevance of the coupled upper knowledge node of each knowledge node and next stage knowledge node is most strong,
Most directly, the relevance that can most characterize the knowledge node and other knowledge nodes is strong and weak, therefore, is determining the first relevance total value
When, it can first determine be connected with each intellectual circles node in the personal knowledge collection of illustrative plates first close to knowledge node, with
Convenient for subsequently accurately determining any third relevance total value to adjacent knowledge node in personal collection of illustrative plates.
Step A2, determine each knowledge node with described at least one first close to each of knowledge node close to
The third relevance total value of knowledge node；
Since each knowledge node indicates a knowledge point or a knowledge module, each knowledge node with should
At least one first third relevance total value close to each of knowledge node first close to knowledge node indicates the knowledge
The relevance size of knowledge content between the corresponding knowledge point of node or knowledge module and adjacent knowledge point or knowledge module.
Its specific computational methods is as follows：
In personal knowledge collection of illustrative plates, the number with the adjacent all knowledge nodes of each current knowledge node is indicated with m；
The current knowledge node with each correspond to being associated in this direction close to the thickness of the line between knowledge node
Property it is strong and weak, with si (i.e. the current knowledge node with should be close to the third relevance total value of knowledge node) expression；
For the current knowledge node i, the calculation formula of the sum of relevance total value i.e. third relevance total value sent out
It is as follows：Wherein, the corresponding R (x) of current knowledge node i is bigger, indicates in the cognition of user, this is currently known
Know the corresponding knowledge module of node i or the pass of knowledge point knowledge module corresponding with knowledge node adjacent around it or knowledge point
Connection property is stronger, and it is higher to further relate to the degree that user understands the corresponding knowledge modules of the current knowledge node i or knowledge point, more
Comprehensively.
Step A3, according to each knowledge node with described each first close to knowledge node third relevance it is total
Value, determine each knowledge node with all first close to knowledge node the sum of third relevance total value, and by institute
State the summation conduct of the sum of third relevance total value of each knowledge node in all knowledge nodes in personal knowledge collection of illustrative plates
The first relevance total value.
Each knowledge node it is adjacent thereto all each first close to knowledge node the sum of third relevance total value,
It indicates the knowledge point in other all adjacent knowledge nodes of knowledge point or knowledge module and surrounding in the knowledge node or knows
The relevance summation of module is known, therefore, by calculating each knowledge node in knowledge node all in personal knowledge collection of illustrative plates
The summation of sum of third relevance total value can accurately obtain the first relevance total value, i.e., individual subscriber has been
The overall knowledge relevance that all knowledge points or knowledge module of solution are reached, consequently facilitating accurate according to the first relevance total value
The degree of awareness or degree of understanding of the user to the knowledge point or knowledge module that have understood really are obtained, in order to user's later stage standard
It really takes in knowledge, enriches the knowledge base of oneself in all directions.
As shown in figure 3, in one embodiment, above-mentioned steps S104 can be performed as：
Step B1 determines be connected with each object knowledge node at least one second close to knowledge node, wherein described
Second close to knowledge node include the upper level knowledge node being connected with each object knowledge node and next stage knowledge section
Point；
Due to the relevance of each object knowledge node coupled upper knowledge node and next stage knowledge node
Most strong, most direct, the relevance that can most characterize the object knowledge node and other object knowledge nodes is strong and weak, therefore, in determination
When the second relevance total value, be connected with each object knowledge node second can be first determined close to knowledge node, with
Convenient for accurately determining in science collection of illustrative plates each object knowledge node each of coupled second close to the 4th of knowledge node
Relevance total value.
Step B2 determines each object knowledge node with described at least one second close to each of knowledge node
Second close to knowledge node the 4th relevance total value；
Since each object knowledge node indicates a knowledge point or a knowledge module, each object knowledge
Node and at least one second the 4th equal table of relevance total value close to each of knowledge node second close to knowledge node
Show between the corresponding knowledge point of object knowledge node or the corresponding adjacent knowledge point or knowledge module of knowledge module
The relevance size of knowledge content.
Step B3, according to each object knowledge node with described each second close to knowledge node the 4th relevance
Total value, determine each object knowledge node with all second close to knowledge node the sum of the 4th relevance total value,
And using the summation of the sum of the 4th relevance total value of each object knowledge node in all object knowledge nodes as described
Two relevance total values.
Each object knowledge node it is adjacent thereto all each second close to knowledge node the 4th relevance total value it
With, indicate knowledge point or knowledge module in the knowledge node in all adjacent knowledge nodes of surrounding knowledge point or know
The relevance summation of the knowledge content of module is known, therefore, by calculating all corresponding 4th relevances of object knowledge node
The summation of the sum of total value can accurately obtain the second relevance total value, i.e. all knowledge points in these object knowledge nodes
Or knowledge module overall knowledge relevance size, consequently facilitating being that reference accurately obtains user couple with the second relevance total value
The degree of awareness or degree of understanding of the knowledge point or knowledge module that have understood, in order to which user accurately takes in knowledge in the later stage,
The knowledge base of oneself is enriched in all directions.
In one embodiment, the operation data includes：In search key that the local terminal receives, the local terminal
Pre-stored history web pages browse at least one in record, pre-stored log, the document of download and the topic of concern
Data.
As shown in figure 4, the present invention also provides a kind of evaluating apparatus of knowledge mapping, including：
Acquisition module 401, the identity mark for obtaining operation data and the user of the user when local terminal operates
Know；
Creation module 402, for according to the operation data and the identity, creating the personal knowledge of the user
Collection of illustrative plates；
Determining module 403, for from determined in pre-stored mapping knowledge domains in the personal knowledge collection of illustrative plates
The corresponding object knowledge node of each knowledge node；
First statistical module 404, the first relevance for counting all knowledge nodes in the personal knowledge collection of illustrative plates
Second relevance total value of total value and corresponding all object knowledge nodes；
Second statistical module 405, the ratio for counting the first relevance total value and the second relevance total value,
To evaluate the personal knowledge collection of illustrative plates.
As shown in figure 5, in one embodiment, first statistical module 404 includes：
First determination sub-module 4041, for determining be connected with each knowledge node in the personal collection of illustrative plates at least one
A first close to knowledge node, wherein described first close to knowledge node include upper one to be connected with each knowledge node
Grade knowledge node and next stage knowledge node；
Second determination sub-module 4042, for determining each knowledge node with described at least one first close to knowledge
Third relevance total value of each of the node close to knowledge node；
Third determination sub-module 4043, for according to each knowledge node with described each first close to knowledge node
Third relevance total value, determine that each knowledge node is total close to the third relevance of knowledge node with all first
Value the sum of, and by the third relevance total value of each knowledge node in all knowledge nodes in the personal knowledge collection of illustrative plates it
The summation of sum is as the first relevance total value.
As shown in fig. 6, in one embodiment, first statistical module 404 includes：
4th determination sub-module 4044, for determining be connected with each object knowledge node at least one second close to knowing
Know node, wherein described second close to knowledge node include the upper level knowledge section being connected with each object knowledge node
Point and next stage knowledge node；
5th determination sub-module 4045, for determine each object knowledge node with described at least one second close to
Fourth relevance total value of each of the knowledge node second close to knowledge node；
6th determination sub-module 4046, for according to each object knowledge node with described each second close to knowledge
4th relevance total value of node determines each object knowledge node and all second close to the 4th of knowledge node
The sum of relevance total value, and by the sum of the 4th relevance total value of each object knowledge node in all object knowledge nodes
Summation is as the second relevance total value.
In one embodiment, the operation data includes：In search key that the local terminal receives, the local terminal
Pre-stored history web pages browse at least one in record, pre-stored log, the document of download and the topic of concern
Data.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Finally, the evaluating apparatus of the knowledge mapping in the present invention is suitable for terminal device.For example, it may be mobile phone,
Computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, a number
Word assistant etc..
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, the present invention can be used in one or more wherein include computer usable program code computer
The shape for the computer program product implemented in usable storage medium (including but not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (4)
1. a kind of evaluation method of knowledge mapping, which is characterized in that including：
Obtain the identity of operation data and the user of the user when local terminal operates；
According to the operation data and the identity, the personal knowledge collection of illustrative plates of the user is created；
It is corresponding with each knowledge node in the personal knowledge collection of illustrative plates from being determined in pre-stored mapping knowledge domains
Object knowledge node；
The the first relevance total value and corresponding all targets for counting all knowledge nodes in the personal knowledge collection of illustrative plates are known
Know the second relevance total value of node；
The ratio for counting the first relevance total value and the second relevance total value, to be carried out to the personal knowledge collection of illustrative plates
Evaluation；
First relevance total value of all knowledge nodes in the statistics personal knowledge collection of illustrative plates, including：
Be connected with each knowledge node in the personal knowledge collection of illustrative plates at least one first is determined close to knowledge node,
In, described first close to knowledge node include the upper level knowledge node being connected with each knowledge node and next stage knowledge
Node；
Determine each knowledge node with described at least one first close to each of knowledge node first close to knowledge section
The third relevance total value of point；
According to each knowledge node with described each first close to knowledge node third relevance total value, determine described
Each knowledge node with all first close to knowledge node the sum of third relevance total value, and by the personal knowledge collection of illustrative plates
In all knowledge nodes in the sum of the third relevance total value of each knowledge node summation as first relevance
Total value；
Second relevance total value of all object knowledge nodes of statistics, including：
Be connected with each object knowledge node at least one second is determined close to knowledge node, wherein described second close to knowing
It includes the upper level knowledge node being connected with each object knowledge node and next stage knowledge node to know node；
Determine each object knowledge node with described at least one second close to each of knowledge node second close to knowing
Know the 4th relevance total value of node；
According to each object knowledge node with described each second close to knowledge node the 4th relevance total value, determine
Each object knowledge node with all second close to knowledge node the sum of the 4th relevance total value, and by all targets
The summation of the sum of the 4th relevance total value of each object knowledge node in knowledge node is as the second relevance total value.
2. according to the method described in claim 1, it is characterized in that,
The operation data includes：The history web pages being pre-stored in search key that the local terminal receives, the local terminal are clear
Look in record, pre-stored log, the document of download and the topic of concern at least one of data.
3. a kind of evaluating apparatus of knowledge mapping, which is characterized in that including：
Acquisition module, the identity for obtaining operation data and the user of the user when local terminal operates；
Creation module, for according to the operation data and the identity, creating the personal knowledge collection of illustrative plates of the user；
Determining module, for from being determined in pre-stored mapping knowledge domains and each knowledge in the personal knowledge collection of illustrative plates
The corresponding object knowledge node of node；
First statistical module, the first relevance total value and phase for counting all knowledge nodes in the personal knowledge collection of illustrative plates
Second relevance total value of corresponding all object knowledge nodes；
Second statistical module, the ratio for counting the first relevance total value and the second relevance total value, with to institute
Personal knowledge collection of illustrative plates is stated to be evaluated；
First statistical module includes：
First determination sub-module, for determining be connected with each knowledge node in the personal knowledge collection of illustrative plates at least one the
One close to knowledge node, wherein described first close to knowledge node includes that the upper level being connected with each knowledge node is known
Know node and next stage knowledge node；
Second determination sub-module, for determining each knowledge node with described at least one first close in knowledge node
Each first close to knowledge node third relevance total value；
Third determination sub-module is used to be closed close to the third of knowledge node with described each first according to each knowledge node
Connection property total value, determine each knowledge node with all first close to knowledge node the sum of third relevance total value,
And by the total of the sum of the third relevance total value of each knowledge node in all knowledge nodes in the personal knowledge collection of illustrative plates
With as the first relevance total value；
First statistical module includes：
4th determination sub-module, for determining be connected with each object knowledge node at least one second close to knowledge node,
Wherein, described second close to knowledge node includes the upper level knowledge node being connected with each object knowledge node and next
Grade knowledge node；
5th determination sub-module, for determining each object knowledge node with described at least one second close to knowledge node
Each of second close to knowledge node the 4th relevance total value；
6th determination sub-module, for according to each object knowledge node and described each second close to the of knowledge node
Four relevance total values determine that each object knowledge node is total close to the 4th relevance of knowledge node with all second
The sum of value, and using the summation of the sum of the 4th relevance total value of each object knowledge node in all object knowledge nodes as
The second relevance total value.
4. device according to claim 3, which is characterized in that
The operation data includes：The history web pages being pre-stored in search key that the local terminal receives, the local terminal are clear
Look in record, pre-stored log, the document of download and the topic of concern at least one of data.
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| CN106021377A (en) * | 2016-05-11 | 2016-10-12 | 上海点荣金融信息服务有限责任公司 | Information processing method and device implemented by computer |
| CN106126584A (en) * | 2016-06-20 | 2016-11-16 | 陈�胜 | A kind of system generating personal knowledge map on the internet |
| CN106326440B (en) * | 2016-08-26 | 2019-11-29 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device towards intelligent robot |
| CN106503172A (en) * | 2016-10-25 | 2017-03-15 | 天闻数媒科技（湖南）有限公司 | The method and apparatus that learning path recommended by knowledge based collection of illustrative plates |
| CN107545791B (en) * | 2017-08-29 | 2020-03-06 | 广州思涵信息科技有限公司 | System and method for automatically generating classroom teaching knowledge map by courseware |
| CN109903617B (en) * | 2017-12-11 | 2021-02-02 | 北京三好互动教育科技有限公司 | Personalized exercise method and system |
| CN110110089B (en) * | 2018-01-09 | 2021-03-30 | 网智天元科技集团股份有限公司 | Cultural relation graph generation method and system |
| CN109214674B (en) * | 2018-08-27 | 2023-01-06 | 联想(北京)有限公司 | Customer service system management method, customer service system and electronic equipment |
| CN109350969A (en) * | 2018-10-22 | 2019-02-19 | 镇江悦乐网络科技有限公司 | Knowledge based map game data intelligent analysis method |
| CN109635126A (en) * | 2018-12-20 | 2019-04-16 | 广东小天才科技有限公司 | A kind of realization method and system of interactive answer |
| CN110413873A (en) * | 2019-06-11 | 2019-11-05 | 北京邮电大学 | A kind of knowledge network construction method, device and electronic equipment |
| CN111798138A (en) * | 2020-07-07 | 2020-10-20 | 广州视源电子科技股份有限公司 | Data processing method, computer storage medium and related equipment |
| CN112990656B (en) * | 2021-02-05 | 2023-05-05 | 南方电网调峰调频发电有限公司信息通信分公司 | Health evaluation system and health evaluation method for IT equipment monitoring data |
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