CN107180059A - Data retrieval method and data retrieval system - Google Patents
Data retrieval method and data retrieval system Download PDFInfo
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- CN107180059A CN107180059A CN201610140848.3A CN201610140848A CN107180059A CN 107180059 A CN107180059 A CN 107180059A CN 201610140848 A CN201610140848 A CN 201610140848A CN 107180059 A CN107180059 A CN 107180059A
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2428—Query predicate definition using graphical user interfaces, including menus and forms
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention proposes a kind of data retrieval method and data retrieval system, wherein, the data retrieval method includes：Knowledge point information in knowledge mapping is associated with knowledge entry；The retrieval information of user's input is received, the retrieval information is parsed to obtain the first knowledge point information corresponding with the retrieval information；The second knowledge point information related to first knowledge point information is inquired about from the knowledge mapping；The object knowledge entry with first knowledge point information and second knowledge point information association is obtained, and shows the object knowledge entry.By technical scheme, when user is retrieved, obtained retrieval result can be made more accurate, so as to lift the experience of user.
Description
Technical field
The present invention relates to retrieval technique field, in particular to a kind of data retrieval method and one kind
Data retrieval system.
Background technology
At present, knowledge services are the hot spot applications that publisher pursues for a period of time recently, it is national
The substantial amounts of fund input of this respect also accelerates the time that knowledge services are landed in publisher.But
In general the Knowledge Service System of domestic construction is still the knowledge clothes of traditional document rank at present
Business is there is provided traditional full-text search mode, and resource associations aspect is also simply between document and bibliography
Interrelational form.
And abroad, the large-scale publisher as Ace Wei Er has successfully been transformed into knowledge services offer
Business, the semantic association that they more focus on the index to knowledge and set up between knowledge, to realize semanteme
Retrieval.
For society of commercial press, the knowledge of professional high-quality is its core resource, is also itself and interconnection
The maximum difference of net content, it is that one kind that it is applied core resource is effective to set up knowledge services
Channel.And in knowledge services, the problem of answering user is that retrieval is most crucial function.With specialty
Knowledge to answer a question be the sharpest edges of publisher's knowledge services.But if retrieval result simultaneously
Can not accurately be if semantically to analyze and provide accurate answer, the function of knowledge services is just beaten greatly
Discount.
Therefore, obtained retrieval result how is made more accurately to turn into urgent problem to be solved.
The content of the invention
The present invention is based on above mentioned problem, it is proposed that a kind of new technical scheme, when user is examined
Suo Shi, can make obtained retrieval result more accurate, so as to lift the experience of user.
In view of this, the first aspect of the present invention proposes a kind of data retrieval method, including：It will know
The knowledge point information known in collection of illustrative plates is associated with knowledge entry；The retrieval information of user's input is received,
The retrieval information is parsed to obtain the first knowledge point information corresponding with the retrieval information；
The second knowledge point information related to first knowledge point information is inquired about from the knowledge mapping；Obtain
The object knowledge entry with first knowledge point information and second knowledge point information association is taken, and
Show the object knowledge entry.
In the technical scheme, the knowledge point information in knowledge mapping and the pass of knowledge entry are initially set up
Join, then user shows being not only for user corresponding with retrieval information in input retrieval information
The knowledge entry of first knowledge point information association, or the knowledge bar with the second knowledge point information association
Mesh, wherein, the second knowledge point is related to the first knowledge point, so that showing the information of user more
Plus it is comprehensive and accurate.
Knowledge point information refers to the core knowledge vocabulary in some professional domain, and it may include English
The attributes such as word, annotations.Incidence relation can be set up between the information of knowledge point, and incidence relation also may be used
To possess attribute.Knowledge point information and its between incidence relation constitute description professional domain knowledge
Collection of illustrative plates.
Knowledge entry refers to the knowledge entry class resource of the professional domain, and its text is mixed by word or picture
It is combined into, other attributes have title, subtitle etc..Such as word in encyclopaedia entry, paper, dictionary
Bar language material etc. can be understood as knowledge entry.
In the above-mentioned technical solutions, it is preferable that it is described displaying the object knowledge entry the step of, tool
Body includes：According to each knowledge point in first knowledge point information and second knowledge point information
The weighted value of the object knowledge entry of information association, to the institute of each knowledge point information association
Object knowledge entry is stated to be shown.
In the technical scheme, according to the weight with the object knowledge entry of each knowledge point information association
Value is shown to the object knowledge entry, for example, the higher one or several targets of weighted value are known
Know entry and show user, user is directly seen the higher object knowledge bar of weighted value
Mesh, further to show the object knowledge entry of user more accurate.
In any of the above-described technical scheme, it is preferable that also include：If detecting the object knowledge bar
Any knowledge entry in mesh is checked, then the weighted value of any knowledge entry is updated.
In the technical scheme, if user clicks on any knowledge entry in object knowledge entry to check
The particular content of any knowledge entry, illustrates that user compares concern to any knowledge entry, then to looking into
The weighted value for any knowledge entry seen is updated, when user retrieves the information of correlation next time again, root
Retrieval result is shown according to the weighted value of the object knowledge entry after renewal, to ensure to show use
The retrieval result at family is that user compares the content of care, so as to ensure that the accuracy of retrieval result.
In any of the above-described technical scheme, it is preferable that also include：By first knowledge point information and
Second knowledge point information is shown in a graphical form.
In the technical scheme, by by the first knowledge point information and the second knowledge point information with figure
Form is shown, and more intuitively shows that the association between the first knowledge point and the second knowledge point is closed
System.In addition, also there is the navigation feature of knowledge mapping, so that user can compare according to knowledge mapping
Intuitively check the correlated knowledge point information of its specific concern.
In any of the above-described technical scheme, it is preferable that the knowledge mapping is the text of OWL forms
Part, and store the knowledge entry, the knowledge mapping using database Neo4j and described know
Know the incidence relation information of entry and the knowledge point information.
In the technical scheme, OWL (Web Ontology can be set up by software Pro t é g é
Language, Network ontology voice) form knowledge mapping, and because database Neo4j possesses
Search function is traveled through than the figure of traditional Relational DataBase faster, therefore, database Neo4j is used
The information of stored knowledge entry, knowledge mapping and its incidence relation, so that convenient search.
The second aspect of the present invention proposes a kind of data retrieval system, including：Associative cell, is used for
Knowledge point information in knowledge mapping is associated with knowledge entry；Determining unit, receives user defeated
The retrieval information entered, is parsed to obtain retrieving information corresponding the with described to the retrieval information
One knowledge point information；Query unit, for the inquiry from the knowledge mapping and first knowledge point
The second related knowledge point information of information；First display unit, for obtaining and first knowledge point
The object knowledge entry of information and second knowledge point information association, and show the object knowledge bar
Mesh.
In the technical scheme, the knowledge point information in knowledge mapping and the pass of knowledge entry are initially set up
Join, then user shows being not only for user corresponding with retrieval information in input retrieval information
The knowledge entry of first knowledge point information association, or the knowledge bar with the second knowledge point information association
Mesh, wherein, the second knowledge point is related to the first knowledge point, so that showing the information of user more
Plus it is comprehensive and accurate.
Knowledge point information refers to the core knowledge vocabulary in some professional domain, and it may include English
The attributes such as word, annotations.Incidence relation can be set up between the information of knowledge point, and incidence relation also may be used
To possess attribute.Knowledge point information and its between incidence relation constitute description professional domain knowledge
Collection of illustrative plates.
Knowledge entry refers to the knowledge entry class resource of the professional domain, and its text is mixed by word or picture
It is combined into, other attributes have title, subtitle etc..Such as word in encyclopaedia entry, paper, dictionary
Bar language material etc. can be understood as knowledge entry.
In the above-mentioned technical solutions, it is preferable that first display unit is specifically for according to described
The mesh of each knowledge point information association in first knowledge point information and second knowledge point information
The weighted value of knowledge entry is marked, the object knowledge entry to each knowledge point information association is entered
Row displaying.
In the technical scheme, according to the weight with the object knowledge entry of each knowledge point information association
Value is shown to the object knowledge entry, for example, the higher one or several targets of weighted value are known
Know entry and show user, user is directly seen the higher object knowledge bar of weighted value
Mesh, further to show the object knowledge entry of user more accurate.
In any of the above-described technical scheme, it is preferable that also include：Updating block, if for detecting
Any knowledge entry in the object knowledge entry is checked, then to the power of any knowledge entry
Weight values are updated.
In the technical scheme, if user clicks on any knowledge entry in object knowledge entry to check
The particular content of any knowledge entry, illustrates that user compares concern to any knowledge entry, then to looking into
The weighted value for any knowledge entry seen is updated, when user retrieves the information of correlation next time again, root
Retrieval result is shown according to the weighted value of the object knowledge entry after renewal, to ensure to show use
The retrieval result at family is that user compares the content of care, so as to ensure that the accuracy of retrieval result.
In any of the above-described technical scheme, it is preferable that also include：Second display unit, for by institute
State the first knowledge point information and second knowledge point information is shown in a graphical form.
In the technical scheme, by by the first knowledge point information and the second knowledge point information with figure
Form is shown, and more intuitively shows that the association between the first knowledge point and the second knowledge point is closed
System.In addition, also there is the navigation feature of knowledge mapping, so that user can compare according to knowledge mapping
Intuitively check the correlated knowledge point information of its specific concern.
In any of the above-described technical scheme, it is preferable that the knowledge mapping is the text of OWL forms
Part, and store the knowledge entry, the knowledge mapping using database Neo4j and described know
Know the incidence relation information of entry and the knowledge point information.
In the technical scheme, OWL (Web Ontology can be set up by software Pro t é g é
Language, Network ontology voice) form knowledge mapping, and because database Neo4j possesses
Search function is traveled through than the figure of traditional Relational DataBase faster, therefore, database Neo4j is used
The information of stored knowledge entry, knowledge mapping and its incidence relation, so that convenient search.
By technical scheme, when user is retrieved, obtained retrieval result can be made
It is more accurate, so as to lift the experience of user.
Brief description of the drawings
Fig. 1 shows the schematic flow sheet of data retrieval method according to an embodiment of the invention；
Fig. 2 shows the structural representation of data retrieval system according to an embodiment of the invention；
Fig. 3 shows the structural representation of data retrieval system according to another embodiment of the invention
Figure；
Fig. 4 shows the data structure of knowledge mapping managing device according to an embodiment of the invention
Schematic diagram；
Fig. 5 shows the relation signal between knowledge point information according to an embodiment of the invention
Figure；
Fig. 6 shows the schematic diagram of the knowledge entry according to an embodiment of the invention got.
Embodiment
In order to which the above objects, features and advantages of the present invention can be more clearly understood that, with reference to attached
The present invention is further described in detail for figure and embodiment.It should be noted that not
In the case of conflict, the feature in embodiments herein and embodiment can be mutually combined.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still,
The present invention can also be different from other modes described here to implement using other, therefore, the present invention
Protection domain do not limited by following public specific embodiment.
Fig. 1 shows the schematic flow sheet of data retrieval method according to an embodiment of the invention.
As shown in figure 1, data retrieval method according to an embodiment of the invention, including：
Step 102, the knowledge point information in knowledge mapping is associated with knowledge entry；
Step 104, the retrieval information of user's input is received, the retrieval information is parsed to obtain
To the first knowledge point information corresponding with the retrieval information；
Step 106, second related to first knowledge point information is inquired about from the knowledge mapping
Knowledge point information；
Step 108, obtain and first knowledge point information and second knowledge point information association
Object knowledge entry, and show the object knowledge entry.
In the technical scheme, the knowledge point information in knowledge mapping and the pass of knowledge entry are initially set up
Join, then user shows being not only for user corresponding with retrieval information in input retrieval information
The knowledge entry of first knowledge point information association, or the knowledge bar with the second knowledge point information association
Mesh, wherein, the second knowledge point is related to the first knowledge point, so that showing the information of user more
Plus it is comprehensive and accurate.
Wherein, second knowledge related to first knowledge point information is inquired about from the knowledge mapping
The step of point information, specifically include：The traversal queries knowledge point information from knowledge mapping, according to preset
Routing algorithm obtain the second knowledge point information related to the first knowledge point information, the path calculation of acquiescence
Method be obtain the adjacent knowledge point information of the first knowledge point information and its between relation.
Knowledge point information refers to the core knowledge vocabulary in some professional domain, and it may include English
The attributes such as word, annotations.Incidence relation can be set up between the information of knowledge point, and incidence relation also may be used
To possess attribute.Knowledge point information and its between incidence relation constitute description professional domain knowledge
Collection of illustrative plates.
Knowledge entry refers to the knowledge entry class resource of the professional domain, and its text is mixed by word or picture
It is combined into, other attributes have title, subtitle etc..Such as word in encyclopaedia entry, paper, dictionary
Bar language material etc. can be understood as knowledge entry.
For example, the retrieval information of user's input is " children's diarrhoea ", then the retrieval information is carried out
It is " baby diarrhea " that parsing, which is obtained with " children's diarrhoea " corresponding knowledge point information, with " children
The related other knowledge point information of diarrhoea " include " related drugs-' er Fu Xie Ning ", " related
Disease-children's headache ", " relevant hospital-BJ Children's Hospital ", " associated department-digestant for baby
Section " etc., then show the retrieval result of user to include the related drugs for the treatment of " children's diarrhoea "
Information, the information of relevant disease, the information of relevant hospital, the information of relevant hospital section office.
In the above-mentioned technical solutions, it is preferable that it is described displaying the object knowledge entry the step of, tool
Body includes：According to each knowledge point in first knowledge point information and second knowledge point information
The weighted value of the object knowledge entry of information association, to the institute of each knowledge point information association
Object knowledge entry is stated to be shown.
In the technical scheme, according to the weight with the object knowledge entry of each knowledge point information association
Value is shown to the object knowledge entry, for example, the higher one or several targets of weighted value are known
Know entry and show user, user is directly seen the higher object knowledge bar of weighted value
Mesh, further to show the object knowledge entry of user more accurate.
In any of the above-described technical scheme, it is preferable that also include：If detecting the object knowledge bar
Any knowledge entry in mesh is checked, then the weighted value of any knowledge entry is updated.
In the technical scheme, if user clicks on any knowledge entry in object knowledge entry to check
The particular content of any knowledge entry, illustrates that user compares concern to any knowledge entry, then to looking into
The weighted value for any knowledge entry seen is updated, when user retrieves the information of correlation next time again, root
Retrieval result is shown according to the weighted value of the object knowledge entry after renewal, to ensure to show use
The retrieval result at family is that user compares the content of care, so as to ensure that the accuracy of retrieval result.
In any of the above-described technical scheme, it is preferable that also include：By first knowledge point information and
Second knowledge point information is shown in a graphical form.
In the technical scheme, by by the first knowledge point information and the second knowledge point information with figure
Form is shown, and more intuitively shows that the association between the first knowledge point and the second knowledge point is closed
System.In addition, also there is the navigation feature of knowledge mapping, so that user can compare according to knowledge mapping
Intuitively check the correlated knowledge point information of its specific concern.
In any of the above-described technical scheme, it is preferable that the knowledge mapping is the text of OWL forms
Part, and store the knowledge entry, the knowledge mapping using database Neo4j and described know
Know the incidence relation information of entry and the knowledge point information.
In the technical scheme, OWL (Web Ontology can be set up by software Pro t é g é
Language, Network ontology voice) form knowledge mapping, and because database Neo4j possesses
Search function is traveled through than the figure of traditional Relational DataBase faster, therefore, database Neo4j is used
The information of stored knowledge entry, knowledge mapping and its incidence relation, so that convenient search.
Fig. 2 shows the structural representation of data retrieval system according to an embodiment of the invention.
As shown in Fig. 2 data retrieval system 200 according to an embodiment of the invention, including：
Associative cell 202, determining unit 204, query unit 206, the first display unit 208, wherein,
Associative cell 202 is used to the knowledge point information in knowledge mapping being associated with knowledge entry；It is determined that
Unit 204, receives the retrieval information of user's input, the retrieval information is parsed to obtain and
It is described to retrieve the corresponding first knowledge point information of information；Query unit 206, for from the knowledge graph
The second knowledge point information related to first knowledge point information is inquired about in spectrum；First display unit
208, for obtaining the target with first knowledge point information and second knowledge point information association
Knowledge entry, and show the object knowledge entry.
In the technical scheme, the knowledge point information in knowledge mapping and the pass of knowledge entry are initially set up
Join, then user shows being not only for user corresponding with retrieval information in input retrieval information
The knowledge entry of first knowledge point information association, or the knowledge bar with the second knowledge point information association
Mesh, wherein, the second knowledge point is related to the first knowledge point, so that showing the information of user more
Plus it is comprehensive and accurate.
Wherein, second knowledge related to first knowledge point information is inquired about from the knowledge mapping
The step of point information, specifically include：The traversal queries knowledge point information from knowledge mapping, according to preset
Routing algorithm obtain the second knowledge point information related to the first knowledge point information, the path calculation of acquiescence
Method be obtain the adjacent knowledge point information of the first knowledge point information and its between relation.
Knowledge point information refers to the core knowledge vocabulary in some professional domain, and it may include English
The attributes such as word, annotations.Incidence relation can be set up between the information of knowledge point, and incidence relation also may be used
To possess attribute.Knowledge point information and its between incidence relation constitute description professional domain knowledge
Collection of illustrative plates.
Knowledge entry refers to the knowledge entry class resource of the professional domain, and its text is mixed by word or picture
It is combined into, other attributes have title, subtitle etc..Such as word in encyclopaedia entry, paper, dictionary
Bar language material etc. can be understood as knowledge entry.
For example, the retrieval information of user's input is " children's diarrhoea ", then the retrieval information is carried out
It is " baby diarrhea " that parsing, which is obtained with " children's diarrhoea " corresponding knowledge point information, with " children
The related other knowledge point information of diarrhoea " include " related drugs-' er Fu Xie Ning ", " related
Disease-children's headache ", " relevant hospital-BJ Children's Hospital ", " associated department-digestant for baby
Section " etc., then show the retrieval result of user to include the related drugs for the treatment of " children's diarrhoea "
Information, the information of relevant disease, the information of relevant hospital, the information of relevant hospital section office.
In the above-mentioned technical solutions, it is preferable that first display unit 208 specifically for, according to
The institute of each knowledge point information association in first knowledge point information and second knowledge point information
The weighted value of object knowledge entry is stated, to the object knowledge bar of each knowledge point information association
Mesh is shown.
In the technical scheme, according to the weight with the object knowledge entry of each knowledge point information association
Value is shown to the object knowledge entry, for example, the higher one or several targets of weighted value are known
Know entry and show user, user is directly seen the higher object knowledge bar of weighted value
Mesh, further to show the object knowledge entry of user more accurate.
In any of the above-described technical scheme, it is preferable that also include：Updating block 210, if for examining
Any knowledge entry measured in the object knowledge entry is checked, then to any knowledge entry
Weighted value be updated.
In the technical scheme, if user clicks on any knowledge entry in object knowledge entry to check
The particular content of any knowledge entry, illustrates that user compares concern to any knowledge entry, then to looking into
The weighted value for any knowledge entry seen is updated, when user retrieves the information of correlation next time again, root
Retrieval result is shown according to the weighted value of the object knowledge entry after renewal, to ensure to show use
The retrieval result at family is that user compares the content of care, so as to ensure that the accuracy of retrieval result.
In any of the above-described technical scheme, it is preferable that also include：Second display unit 212, is used for
First knowledge point information and second knowledge point information are shown in a graphical form.
In the technical scheme, by by the first knowledge point information and the second knowledge point information with figure
Form is shown, and more intuitively shows that the association between the first knowledge point and the second knowledge point is closed
System.In addition, also there is the navigation feature of knowledge mapping, so that user can compare according to knowledge mapping
Intuitively check the correlated knowledge point information of its specific concern.
In any of the above-described technical scheme, it is preferable that the knowledge mapping is the text of OWL forms
Part, and store the knowledge entry, the knowledge mapping using database Neo4j and described know
Know the incidence relation information of entry and the knowledge point information.
In the technical scheme, OWL (Web Ontology can be set up by software Pro t é g é
Language, Network ontology voice) form knowledge mapping, and because database Neo4j possesses
Search function is traveled through than the figure of traditional Relational DataBase faster, therefore, database Neo4j is used
The information of stored knowledge entry, knowledge mapping and its incidence relation, so that convenient search.
Fig. 3 shows the structural representation of data retrieval system according to another embodiment of the invention
Figure；Fig. 4 shows the data structure of knowledge mapping managing device according to an embodiment of the invention
Schematic diagram；Fig. 5 shows that the relation between knowledge point information according to an embodiment of the invention is shown
It is intended to；Fig. 6 shows the signal of the knowledge entry according to an embodiment of the invention got
Figure.
Technical scheme is described in detail with reference to Fig. 3 to Fig. 6：
As shown in figure 3, data retrieval system 300 according to another embodiment of the invention, bag
Include：Knowledge mapping managing device 302, resource associations device 304, knowledge retrieval device 306 and side
Case exhibiting device 308.
Knowledge mapping managing device 302 is used for the knowledge mapping description for being directed through instrument or system creation
File, for example, by ontology editing software Pro t é g é creation of knowledge point information and its attribute, and can
With the association between free creation of knowledge point information, the file of an OWL form is eventually generated,
The file of OWL forms is imported using the apache jena modules increased income.Wherein, knowledge mapping is managed
The data structure of device 302 is as shown in figure 4, knowledge mapping managing device 302 includes relational database
And chart database, the knowledge point information that the example table in relational database is stored with knowledge mapping is with knowing
Know in the incidence relation between entry, chart database and be stored between knowledge point information and knowledge point information
The knowledge mapping of relation, wherein, the example table structure of knowledge mapping is as shown in table 1：
Table 1
In table 1, the knowledge point information in the collection of illustrative plates of knowledge point is marked using Neo4j Label,
Use the major key ID of the table of knowledge mapping in ONTOLOGY_ { id } representation relation database.
In addition, knowledge mapping managing device 302, which provides interface, supplies external call knowledge mapping information.
Resource associations device 304 is used to obtain knowledge entry from the resource management system of publisher,
Obtain knowledge mapping from spectrum data storehouse, and by each knowledge point information and knowledge in knowledge mapping
Entry is associated, by example table as shown in table 2 come stored knowledge point information and knowledge entry it
Between incidence relation.
Table 2
It is that knowledge services progress semantic retrieval is most important that knowledge point information and knowledge entry, which are associated,
One step, this association is association semantically, and the title of such as one news item is《Pampered offspring of the one-child family is big
War stone Buddhist》, like NBA people to know about, this is saying NBA Basketball Match, pampered offspring of the one-child family and
Stone Buddhist is all the nickname that Chinese soccer fan rises to soccer star.So this information should be able to be with soccer star this noun
Converge and set up association, even if so the name of this two soccer stars does not occur in this news item, but it is real
The knowledge point of the news item and soccer star ought to be associated in matter.
Resource associations device 304 also has following function：
Integrated can have the instrument or system of automation marking Function, individual character is provided by realizing interface
The call method of change, built-in text matches algorithm is used as the automation annotation tool of acquiescence；
The artificial interface for marking and adjusting, for no automation annotation tool, can be used artificial
Marking Function, after knowledge entry is chosen, the collection of illustrative plates for calling knowledge mapping managing device 302 to provide connects
Mouthful obtain knowledge point information, then choose knowledge point information, association can be created by clicking on determination, in reality
Example table generation record.
The artificial correction to automatic marking mistake is provided and changes feedback interface, for the knot of automation mark
, it is necessary to which correction result is fed back into automation annotation tool or system after fruit is modified, for its progress
Study, to provide the accuracy rate of its mark.
Knowledge retrieval device 306 is used to receive the problem of user inputs (retrieving information), to user
The problem of input, parse obtaining retrieval result.
The problem of on input, it can be the word inputted in text input box, can also be collection
The voice messaging arrived, if voice messaging, then voice messaging is identified, and voice messaging is turned
It is changed to corresponding word.Then to input the problem of parses, and gets knowledge corresponding with problem
Point information and other knowledge point information related to the knowledge point information.For example, user wonders child
The information of son diarrhoea, by natural language analysis template, it is equal to carries to " baby diarrhea "
Ask.Then the knowledge point information in traversal spectrum data storehouse, related to " baby diarrhea " to get
Other knowledge points, and by " baby diarrhea " and its correlation other knowledge points show user, such as
Shown in Fig. 5.Hereafter, get what is be associated to " baby diarrhea " and its other related knowledge points
Knowledge entry (i.e. object knowledge entry), as shown in Figure 6.
The retrieval result that schemes show device 308 is used to retrieve knowledge retrieval device 306 carries out exhibition
Show.For example, according to the weight of the knowledge entry of each knowledge point information association of " baby diarrhea "
Value, the maximum knowledge entry of weighted value is shown.For example, treatment " baby diarrhea " has two
Treatment method, weighted value highest treatment method is shown.
Specific exhibition scheme is as follows：
Symptom：Hyperosmotic dehydration, hyperosmotic dehydration refers to simple olighydria or the ratio of dehydration is more than forfeiture
Caused by electrolyte, i.e. natremia is increased in dehydration, and serum sodium is more than 150mmol/L.It is more common in not dominant
Dehydration increases and gives deficiency, or vomiting, diarrhoea and stomach ...
Medical treatment：The neural study class of national children：The neural study class of national children for promote national paediatrics and
Academic exchange between pediatric psychology doctor, improves the understanding to paediatrics the nervous system disease and diagnosis and treatment
Level, specification is simultaneously expanded to the diagnosis thinking of disease, and further appreciate that some diseases in China ...
Regulation：Which right patient has：Patient has the right to know to disease,《Middle Chinese
People republic Law on Licensed Doctors》22nd article has clear stipulaties：It is concerned about, cherishes, respects patient, protects
The privacy for protecting patient is doctor in operation ...
Technical scheme is described in detail above in association with accompanying drawing, passes through the technical side of the present invention
Case, when user is retrieved, can make obtained retrieval result more accurate, so as to lift user
Experience.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for
For those skilled in the art, the present invention can have various modifications and variations.All essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements made etc. should be included in the present invention
Protection domain within.
Claims (10)
1. a kind of data retrieval method, it is characterised in that including：
Knowledge point information in knowledge mapping is associated with knowledge entry；
The retrieval information of user's input is received, the retrieval information is parsed to obtain and the inspection
The corresponding first knowledge point information of rope information；
The second knowledge point letter related to first knowledge point information is inquired about from the knowledge mapping
Breath；
Obtain the object knowledge bar with first knowledge point information and second knowledge point information association
Mesh, and show the object knowledge entry.
2. data retrieval method according to claim 1, it is characterised in that the displaying institute
The step of stating object knowledge entry, specifically includes：
Each knowledge point information in first knowledge point information and second knowledge point information
The weighted value of the object knowledge entry of association, to the mesh of each knowledge point information association
Mark knowledge entry is shown.
3. data retrieval method according to claim 2, it is characterised in that also include：
If any knowledge entry detected in the object knowledge entry is checked, to described any
The weighted value of knowledge entry is updated.
4. data retrieval method according to claim 1, it is characterised in that also include：
First knowledge point information and second knowledge point information are subjected to exhibition in a graphical form
Show.
5. data retrieval method according to any one of claim 1 to 4, its feature exists
In the knowledge mapping is the file of OWL forms, and described using database Neo4j storages
Knowledge entry, the knowledge mapping and the knowledge entry and the incidence relation of the knowledge point information
Information.
6. a kind of data retrieval system, it is characterised in that including：
Associative cell, for the knowledge point information in knowledge mapping to be associated with knowledge entry；
Determining unit, receives the retrieval information of user's input, and the retrieval information is parsed to obtain
To the first knowledge point information corresponding with the retrieval information；
Query unit, for inquiring about related to first knowledge point information from the knowledge mapping
Second knowledge point information；
First display unit, believes for obtaining with first knowledge point information and second knowledge point
The object knowledge entry of association is ceased, and shows the object knowledge entry.
7. data retrieval system according to claim 6, it is characterised in that first exhibition
Show unit specifically for,
Each knowledge point information in first knowledge point information and second knowledge point information
The weighted value of the object knowledge entry of association, to the mesh of each knowledge point information association
Mark knowledge entry is shown.
8. data retrieval system according to claim 7, it is characterised in that also include：
Updating block, if being looked into for detecting any knowledge entry in the object knowledge entry
See, then the weighted value of any knowledge entry is updated.
9. data retrieval system according to claim 6, it is characterised in that also include：
Second display unit, for by first knowledge point information and second knowledge point information with
The form of figure is shown.
10. the data retrieval system according to any one of claim 6 to 9, its feature exists
In the knowledge mapping is the file of OWL forms, and described using database Neo4j storages
Knowledge entry, the knowledge mapping and the knowledge entry and the incidence relation of the knowledge point information
Information.
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