CN108920716A - The data retrieval and visualization system and method for knowledge based map - Google Patents
The data retrieval and visualization system and method for knowledge based map Download PDFInfo
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Abstract
The invention discloses the data retrieval of knowledge based map and visualization systems, including：Presentation layer：Search entrance and display interface are provided, service layer is provided and is interacted with data Layer, visualization is carried out to data and is showed；Service layer：Data exchange is carried out between data Layer, the business access submitted to presentation layer parses；Data Layer：The relationship between ontology model is constructed, indicates and participates in associated ontology and relevant parameter, obtain the corresponding all solid datas of ontology and constructs incidence relation, all ontology datas, solid data and relation data are stored in chart database.The present invention intuitively, efficiently can show search result to user, support the visualization of combat data under different scenes, it is ensured that the propagation of sensitive information and data is safely controllable, meets personalization, the intelligence demand of search result.
Description
Technical field
The present invention relates to data of information system management, and the data retrieval and visualization more particularly to knowledge based map are
System and method.
Background technique
Currently, with the development of my army's information system, combat data presentation scale is big, distribution is wide, structure dynamics variation, mould
The features such as state complexity multiplicity, these data have very big application value, but data user rate is not much at present, and data are only
It is only packed together, and participates in operational decision making, the data for carrying out business diagnosis and business control are also considerably less；Business number simultaneously
According to being dispersed in different systems, inquiry data need to enter different systems, use traditional data retrieval and inquisition technical efficiency
It is lower, while relational calculus amount is big and complicated between data, the application difficulty of business datum is very big；The data knot of conventional retrieval
Fruit shows more detail and simple, can only realize basic data summarization, show function, intuitive, abundant cannot show point
Analyse data rule and its between relationship, can not by model carry out business early warning, prediction, support system multiple business
With, be unfavorable for commanding officer grasp global information, comprehensive decision.How intuitively, efficiently show search result to user, support
The visualization of combat data under different scenes, it is ensured that the propagation of sensitive information and data is safely controllable, meets of search result
Property, intelligent demand obtain it is very urgent.
Summary of the invention
Goal of the invention：The object of the present invention is to provide a kind of data retrievals of knowledge based map and visualization system and side
Method intuitively, efficiently shows search result to user, supports the visualization of combat data under different scenes, it is ensured that sensitive information
It is safely controllable with the propagation of data, meet personalization, the intelligence demand of search result.
Technical solution：The data retrieval and visualization system of knowledge based map of the present invention, including：
Presentation layer：Search entrance and display interface are provided, service layer is provided and is interacted with data Layer, it can to data progress
Show depending on changing；
Service layer：Data exchange is carried out between data Layer, the business access submitted to presentation layer parses；
Data Layer：The relationship between ontology model is constructed, indicates and participates in associated ontology and relevant parameter, obtains ontology pair
All solid datas for answering simultaneously construct incidence relation, and all ontology datas, solid data and relation data are stored in diagram data
In library.
Searching, managing configuration is carried out using the data retrieval and visualization system of knowledge based map of the present invention
Method includes the following steps：
S11：All ontology models having had been built up are obtained, the title of all ontology models is obtained and are carried out corresponding standby
Note；
S12：Noumenon property configuration tool is constructed, is configured to whether the attribute in ontology model needs support index；
S13：Ontology configuration tool is constructed, supports to be indexed ontology model classification setting, divides ontology model retrieval
Belonging retrieval classification provides accurately positioning search range for search term；Alias setting is carried out to ontology model；To ontology
Model carries out field setting；When set ontology model is media model, media model setting is carried out, including from media category
Select respective attributes as media name, media formats and media content respectively in property.
The method that inquiry is associated using the data retrieval and visualization system of knowledge based map of the present invention,
Include the following steps：
S21：Input inquiry keyword；
S22：In relationship between the ontology model constructed, affiliated ontology is inquired；
S23：The entity relationship constructed using the relevant parameter of ontology model, inquires the data of associated entity；
S24：The data of entity relationship and the associated entity of acquisition are subjected to interpretation of result and fusion, and final inquiry knot
Fruit returns to user.
The side that visualization shows is carried out using the data retrieval and visualization system of knowledge based map of the present invention
Method includes the following steps：
S31：Input inquiry word and querying condition, system are sent to chart database for content is inquired, traverse out all correlations
Node；
S32：According to index classification belonging to acquired node, suitable exhibition method is selected；
S33：The data that will acquire are shown.
Term is carried out with visualization system using the data retrieval of knowledge based map of the present invention to automatically record
And the method recommended, it is characterised in that：Including following procedure：Search term is inputted, system will deposit in search term and local storage
The search term historical record of storage carries out screening matching：If the search term of input is present in historical record, by historical record
In former search term delete, this search term is stored in nearest historical record；If the search term of input is not in history
In record, then this search term is stored in nearest historical record.
The method that Chinese word segmentation is carried out using the data retrieval and visualization system of knowledge based map of the present invention,
It is characterized in that：Including following procedure：Domain body is constructed, using the domain body semantic dictionary of building as dictionary for word segmentation, so
The Forward Maximum Method based on semantic dictionary is carried out respectively to text to be slit afterwards：The semantic dictionary for matching building, if in language
Successful match in adopted dictionary then exports corresponding word segmentation result.
Beneficial effect：The invention discloses a kind of data retrieval of knowledge based map and visualization system and method, energy
It is enough intuitive, efficiently to user show search result, support the visualization of combat data under different scenes, it is ensured that sensitive information and
The propagation of data is safely controllable, meets personalization, the intelligence demand of search result.
Detailed description of the invention
Fig. 1 is the software hierarchy architecture diagram of system in the specific embodiment of the invention；
Fig. 2 is the entity associated querying flow figure of knowledge based map in the specific embodiment of the invention；
Fig. 3 is that data visualization shows flow chart in the specific embodiment of the invention；
Fig. 4 is that term automatically records the design drawing with recommending module in the specific embodiment of the invention；
Fig. 5 is the Chinese word cutting method process combined based on semantic information with dictionary in the specific embodiment of the invention
Figure.
Specific embodiment
Present embodiment discloses the data retrieval and visualization system of a kind of knowledge based map, as shown in Figure 1,
Including：
Presentation layer：Search entrance and display interface are provided, service layer is provided and is interacted with data Layer, it can to data progress
Show depending on changing；
Service layer：Using data exchange is carried out between Web Service and data Layer, to the business access of presentation layer submission
It is parsed；Index module therein is mainly to the data after acquisition module parsing and to establish distributed index to it；
Data Layer：Including data memory module and data resolution module；For constructing the relationship between ontology model, indicate
Associated ontology and relevant parameter are participated in, the corresponding all solid datas of ontology are obtained and constructs incidence relation, by all sheets
In volume data, solid data and relation data deposit chart database.
The method for carrying out searching, managing configuration using the system, includes the following steps：
S11：All ontology models having had been built up are obtained, the title of all ontology models is obtained and are carried out corresponding standby
Note；
S12：Noumenon property configuration tool is constructed, is configured to whether the attribute in ontology model needs support index,
Because need to be only indexed to part of attribute for most models；The label to set a property on demand shows, can be with
Corresponding attribute results are shown in final searched page, while label display order can be configured, most by user
The attribute of care comes results page forefront；It is too long for part attribute-name in table, using English abbreviation etc., alias can be used
These titles are changed to the title being more readily understood by editting function, are shown on final searched page；
S13：Ontology configuration tool is constructed, supports to be indexed ontology model classification setting, divides ontology model retrieval
Belonging retrieval classification provides accurately positioning search range for search term；Alias setting is carried out to ontology model, it will be obscure
Letter hard to understand is referred to as compiled as understandable word；Field setting is carried out to ontology model, field setting can choose title
Field and self-defined title field；When set ontology model is media model, progress media model setting, including from
Select respective attributes as media name, media formats and media content respectively in medium property.
The method that inquiry is associated using the system, as shown in Fig. 2, including the following steps：
S21：Input inquiry keyword；Such as input " F16 fighter plane "；
S22：In relationship between the ontology model constructed, affiliated ontology is inquired；Such as in the knowledge having been built up
" equipment " ontology is inquired in map, inquires the entity that " equipment title " is " F16 fighter plane " in the body；
S23：The entity relationship constructed using the relevant parameter of ontology model, inquires the data of associated entity；Such as it is associated with
There are the entities such as " U.S. army base ", " equipment media " to " F16 fighter plane " entity；
S24：The data of entity relationship and the associated entity of acquisition are subjected to interpretation of result and fusion, and final inquiry knot
Fruit returns to user；Such as the equipment performance information of " F16 fighter plane " is returned, and the deployed position being associated with, the number such as equipment picture
According to.
The method that visualization shows is carried out using the system, as shown in figure 3, including the following steps：
S31：Input inquiry word and querying condition, system are sent to chart database for content is inquired, traverse out all correlations
Node；
S32：According to index classification belonging to acquired node, suitable exhibition method is selected；
S33：The data that will acquire are shown；, for searching for us and equip, equipment attribute is shown with key-value pair, is filled
Standby performance is shown in a tabular form, is equipped photo with picture and is shown displaying, relationship is opened up in a manner of knowledge mapping between equipment
Show.
The method that term automatically records and recommends is carried out using the system, as shown in figure 4, including following procedure：Input
The search term historical record stored in search term and local storage is carried out screening matching by search term, system：If input
Search term is present in historical record, then deletes the former search term in historical record, this search term deposit is nearest
In historical record；If this search term is stored in nearest historical record not in historical record by the search term of input
In.
The method that Chinese word segmentation is carried out using the system, including following procedure：Domain body is constructed, by the field sheet of building
Then body semantic dictionary carries out the Forward Maximum Method based on semantic dictionary to text to be slit as dictionary for word segmentation respectively：?
Semantic dictionary with building exports corresponding word segmentation result if the successful match in semantic dictionary.Such as：" United States Air Force
This section of F16 fighter plane " is talked about, and has the words such as " United States Air Force " " U.S. ", " F16 ", " fighter plane " in semantic dictionary.It is opened from " beauty " word
Begin, successively scans backward, take " beauty ", " U.S. ", " United States Air Force " to be matched respectively, longest matched character string is in dictionary
" United States Air Force ", then the word is split out.Next since " " scan word, repeat aforesaid operations.
The specific flow chart of Chinese word cutting method is as shown in fig. 5, it is assumed that D=D1D2D3D4 ..., and Dn is carried out based on semantic letter
The Chinese Word Automatic Segmentation combined with dictionary is ceased, algorithmic procedure is described as follows：
(1) the first character D1 in D is taken out, by it compared with the semantic dictionary of load, discovery exists using D1 as prefix
Word is then marked.
(2) D2 and dictionary comparison match are taken out from D again, determines whether exist using D1D2 as the word of prefix.
(3) if there is no then D1 word string is cut out from D, primary participle terminates.
(4) if it is present judging the number n for calculating D1D2 as the word of prefix again.
(5) if n=0, which terminates.
(6) taking out Di from D again if n is not 0 and dictionary carries out matching judgment and whether there is with Di ... Dn-lDn is
The word of prefix.
(7) if it is present going to (6).
(8) if it does not exist, then D1......Dn-lDn is cut out from word string D, primary participle terminates.
(9) continue to segment since the word Di of character string D, repeat the above steps, until character string D forward direction cutting knot
Beam.
Claims (6)
1. the data retrieval and visualization system of knowledge based map, it is characterised in that：Including：
Presentation layer：Search entrance and display interface are provided, service layer is provided and is interacted with data Layer, data are visualized
Show；
Service layer：Data exchange is carried out between data Layer, the business access submitted to presentation layer parses；
Data Layer：The relationship between ontology model is constructed, indicates and participates in associated ontology and relevant parameter, it is corresponding to obtain ontology
All solid datas simultaneously construct incidence relation, and all ontology datas, solid data and relation data are stored in chart database.
2. carrying out searching, managing with visualization system using the data retrieval of knowledge based map according to claim 1 to match
The method set, it is characterised in that：Include the following steps：
S11：All ontology models having had been built up are obtained, the title of all ontology models is obtained and carries out corresponding remarks；
S12：Noumenon property configuration tool is constructed, is configured to whether the attribute in ontology model needs support index；
S13：Ontology configuration tool is constructed, supports to be indexed ontology model classification setting, divide belonging to ontology model retrieval
In retrieval classification, for search term provide accurately positioning search range；Alias setting is carried out to ontology model；To ontology model
Carry out field setting；When set ontology model is media model, media model setting is carried out, including from medium property
Select respective attributes as media name, media formats and media content respectively.
3. the data retrieval and visualization system using knowledge based map according to claim 1 are associated inquiry
Method, it is characterised in that：Include the following steps：
S21：Input inquiry keyword；
S22：In relationship between the ontology model constructed, affiliated ontology is inquired；
S23：The entity relationship constructed using the relevant parameter of ontology model, inquires the data of associated entity；
S24：The data of entity relationship and the associated entity of acquisition are subjected to interpretation of result and fusion, and final query result is returned
Back to user.
4. carrying out visualization with visualization system using the data retrieval of knowledge based map according to claim 1 to show
Method, it is characterised in that：Include the following steps：
S31：Input inquiry word and querying condition, system are sent to chart database for content is inquired, traverse out all interdependent nodes；
S32：According to index classification belonging to acquired node, suitable exhibition method is selected；
S33：The data that will acquire are shown.
5. the data retrieval and visualization system progress term using knowledge based map according to claim 1 are automatic
Record and the method recommended, it is characterised in that：Including following procedure：Search term is inputted, system is by search term and local storage
The search term historical record of middle storage carries out screening matching：If the search term of input is present in historical record, by history
Former search term in record is deleted, this search term is stored in nearest historical record；If the search term of input does not exist
In historical record, then this search term is stored in nearest historical record.
6. the data retrieval and visualization system using knowledge based map according to claim 1 carry out Chinese word segmentation
Method, it is characterised in that：Including following procedure：Domain body is constructed, using the domain body semantic dictionary of building as participle word
Then allusion quotation carries out the Forward Maximum Method based on semantic dictionary to text to be slit respectively：The semantic dictionary of building is matched, if
The successful match in semantic dictionary then exports corresponding word segmentation result.
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