CN104123302B - Search method, apparatus and system - Google Patents
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- CN104123302B CN104123302B CN201310152830.1A CN201310152830A CN104123302B CN 104123302 B CN104123302 B CN 104123302B CN 201310152830 A CN201310152830 A CN 201310152830A CN 104123302 B CN104123302 B CN 104123302B
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention provides a kind of search methods, apparatus and system, user needs to select classification information before search, because same information classification and attribute classification at different levels in preset data model are consistent, therefore the classification information that different users obtains when being selected in data model for same information needed is also the same, the process is the process that specification user inputs keyword, in addition, the keyword that the classification information that user selects in the present invention uses when being server search, keyword in the present invention is divided into different weights, server retrieves the filter information for obtaining meeting all screening conditions according to the descending sequence of weight of keyword successively, server can be realized by the differentiation of weight by the search of maximum magnitude to minimum zone, so that the result arrived is more accurate.
Description
Technical field
The present invention relates to technical field of information processing, and in particular to a kind of search method, apparatus and system.
Background technology
With the development of technology with the continuous improvement of the level of informatization, we frequently by retrieved web we need letter
Breath, along with the continuous quickening of rhythm of life, it is intended that be getting faster acquisition information needed, but existing information retrieval is adopted more
The method shown with Keywords matching, such as：The search engines such as Baidu, Google need artificially to input on retrieval column in retrieval
Oneself need the keyword of things retrieved, but knowledge level due to different people or use habit are different, retrieval when
The keyword waited for same thing input may be different, thus obtained retrieval result may there are many, cause inquiry to need
Retrieval result is carried out repeatedly screening and screening, labor intensity is big.
Such as：Different people wants to inquire the price of apple iphone5s, first man input apple price, second people
Situations such as input iphone5s, third individual inputs newest price of apple etc., since server is obtained for different keywords
Result it is different, the keyword that first man is inputted, which obtains retrieval result, the present price of apples, apple tree
Price, the various information in relation to apple price of price of iPhone etc., second of keyword is more specific then can be direct
There is iphone5s for information about, there is price sales situation, the information such as selling area, third individual to input the newest price of apple
Obtained possibility has the newest price of the various models such as iphone4, iphone4s, iphone5, iphone5s, therefore different
People retrieves difference of the same thing due to inputting keyword, causes the result of output multifarious.
The keyword that the user that how to standardize uses in retrieval so that server can be gone according to the keyword of standardization
Retrieval, to be accurately obtained the technical issues of searcher's information needed is required solution now.
Invention content
The present invention provides a kind of search method, apparatus and system, the pass for making user's operating specification in retrieval
Keyword so that server can go to retrieve according to the keyword of standardization, to be accurately obtained searcher's information needed.
To achieve the goals above, the present invention uses following technological means：
A kind of search method, including：
The classification information that the first user selects in preset data model is received, the preset data model includes X one
Grade classification, each category includes Y two level classification, and each two level classification includes Z three-level classification, and so on until every
A M-1 grades of classification includes N number of M grades of classification, and each M grades of classification includes each attribute classification of information, wherein by category,
M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification are successively decreased successively, the X category
Including：Main information, merchandise news, action message, exception information and resource information, the attribute classification include industry industry category
Property, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z, M and N be than 0 from
So number；
By the mode that the weight of each classification is descending, by L class in the classification information of first user selection
It is not used as the first screening conditions, the second screening conditions ... L screening conditions successively；
Information sifting is carried out according to first screening conditions in the preset database, and obtains the first filter information,
Carry out information sifting according to second screening conditions in first filter information and obtain the second filter information, and so on it is straight
L filter informations are obtained in L-1 filter informations；
Export the L filter informations.
Preferably, the establishment process of the presetting database includes：
The belonging kinds of the information and described information of second user offer in the classifications at different levels of preset data model are provided；
Obtain storage region corresponding with the belonging kinds；
Described information is subjected to classification storage by the attribute classification in the storage region.
Preferably, the establishment process of the presetting database further includes：
Retrieval and the related related information of described information in the database；
The related information is associated with described information and is linked.
Preferably, further include：
Receive the association link that user clicks；
Related information associated with described information is exported according to the association link.
A kind of retrieval device, including：
First receiving unit, the classification information selected in preset data model for receiving the first user are described default
Data model includes X category, and each category includes Y two level classification, and each two level classification includes Z three-level class
Not, and so on until each M-1 grades of classification include N number of M grades of classification, each M grades of classification includes each Attribute class of information
Not, wherein being passed successively by category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification
Subtract, the X category includes：Main information, merchandise news, action message, exception information and resource information, the attribute
Classification includes industry industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z,
M and N is natural number than 0；
Conditioning unit is obtained, the mode descending for the weight by each classification, by first user selection
L classification is used as the first screening conditions, the second screening conditions ... L screening conditions successively in classification information；
Screening unit for carrying out information sifting according to first screening conditions in the preset database, and obtains the
One filter information obtains the second screening letter in first filter information according to second screening conditions progress information sifting
Breath, and so on until obtaining L filter informations in L-1 filter informations；
Output unit, for exporting the L filter informations.
Preferably, further include：
Second receiving unit, the information and described information for receiving second user offer are in the at different levels of preset data model
Belonging kinds in classification；
Acquiring unit, for obtaining storage region corresponding with the belonging kinds；
Storage unit, for described information to be carried out classification storage by the attribute classification in the storage region.
Preferably, further include：
Searching unit, for retrieval in the database and the related related information of described information；
Associative cell is linked for the related information to be associated with described information.
Preferably, further include：
Related information output unit, the association link clicked for receiving first user, according to the association link
Output related information associated with described information.
A kind of searching system, including：
Server, the classification information selected in preset data model for receiving the first user, the preset data mould
Type includes X category, and each category includes Y two level classification, and each two level classification includes Z three-level classification, according to
Secondary to analogize until each M-1 grades of classification includes N number of M grades of classification, each M grades of classification includes each attribute classification of information,
In successively decrease successively by category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification, institute
Stating X category includes：Main information, merchandise news, action message, exception information and resource information, the attribute classification
Including industry industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z, M and N
The classification of first user selection is believed by the mode that the weight of each classification is descending for natural number than 0
In breath L classification successively be used as the first screening conditions, the second screening conditions ... L screening conditions, in the preset database
Information sifting is carried out according to first screening conditions, and obtains the first filter information, the foundation in first filter information
Second screening conditions carry out information sifting and obtain the second filter information, and so on until in L-1 filter informations
To L filter informations, the L filter informations are exported；
Display, for showing the information for meeting the screening conditions.
User needs to select classification information, i.e., classifications and/or attribute classification at different levels, the process before search in the present invention
As specification user inputs the process of keyword, because same information classification and attribute classification at different levels in preset data model are
Consistent, therefore the classification information that different users obtains when being selected in data model for same information needed（Respectively
Grade classification and attribute classification）It is also the same, therefore classification information is selected in preset data model by user（Classifications at different levels and
Attribute classification）Process be realize standardization user input keyword purpose.
In addition, the keyword that the classification information that user selects in the present invention uses when being server search, in of the invention
Keyword be divided into different weights, server retrieved successively according to the descending sequence of weight of keyword obtain meeting it is all
The filter information of screening conditions, since the weight of keyword is successively decreased according to the M grades of classification of first-level class secondary classification ...,
And one subseries range be more than secondary classification be more than three-level classify ... be more than M grade classification, due to server be directed to screen
What the proportion of condition was screened, therefore can be realized by the search of maximum magnitude to minimum zone by the differentiation of weight, into
And the result made is more accurate.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is the flow chart of search method disclosed in figure embodiment of the present invention；
Fig. 2 is the flow chart that presetting database creates process in search method disclosed by the embodiments of the present invention；
Fig. 3 is the flow chart that the embodiment of the present invention discloses that presetting database in another search method creates process；
Fig. 4 is the flow chart of another search method disclosed by the embodiments of the present invention；
Fig. 5 is the structural schematic diagram of retrieval device disclosed by the embodiments of the present invention；
Fig. 6 is the structural schematic diagram of another retrieval device disclosed by the embodiments of the present invention；
Fig. 7 is the structural schematic diagram of another retrieval device disclosed by the embodiments of the present invention；
Fig. 8 is the structural schematic diagram of searching system disclosed by the embodiments of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the present invention provides a kind of search methods, including：
Step S101：Receive the classification information that the first user selects in preset data model, the preset data model
Including X category, each category includes Y two level classification, and each two level classification includes Z three-level classification, successively
To analogize until each M-1 grades of classification includes N number of M grades of classification, each M grades of classification includes each attribute classification of information, wherein
Successively decrease successively by category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification, the X
A category includes：Main information, merchandise news, action message, exception information and resource information, the attribute classification include
Industry industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z, M and N be except
Natural number except zero；
Preset data model is a complete classification of real things, and existing thing is divided into X level-one on the whole
Classification includes X main directions, include mainly main information, merchandise news, action message, exception information and resource letter
Breath, main information also include organizational information and personal information, and merchandise news also includes products ＆ services information, and the quantity of X can be with
With the increase for carrying out adaptability to the cognition of real things, each category includes Y two level classification, and two level classification is one
Lower layer's rank of grade classification, three-level classification are lower layer's rank of two level classification, and so on until M grade classifications, M grades of classifications for by
According to the bottom classification that cannot classify again to the cognition of real things, from the foregoing, it will be observed that preset data model can be seen as
The disaggregated model of tree structure.
But the weight of each classification is different in the preset data model in the present invention, specifically, each classification
Smaller with the increase weight of M, the bigger classification for representing the bottom of M, M is smaller to represent top classification, top classification
Weight is larger, and bottom classified weight is minimum.Purpose so classify and difference weight size, is in order to facilitate subsequent searches
When according to the position of each classification of different instructions of weight, and determine to database scan for when screening conditions sequence,
The contents of the section is described in detail in following step.
The present invention needs the database for establishing first user's information needed of storage before retrieving, presetting database
Establishment process, as shown in Fig. 2, including：
Step S201：At different levels classifications of the information and described information that reception second user provides in the preset data model
In belonging kinds.
Firstly the need of a database corresponding with preset data model is established, wherein preset data model is tree-like knot
The class models of structure are used as X category, each according to preset data model in X level-one mark of Database
Y two level mark is established under level-one mark and is used as two level classification, and Z three-level mark is established under each two level mark and is used as three-level
Classification, and so on until establishing N number of M grades of classification under each M-1 grades of classification, in the database claim the bottom M and classification
For belonging kinds.
Further include each attribute classification of information in M grades of classifications, similarly each attribute classification also also has in the database
Corresponding identification information is established and each belonging kinds in the database（Or each home identity）Corresponding storage
Region, belonging kinds include the attribute classification of information, and attribute classification includes at least industry industrial attributes, time-space attribute, essence
Attribute, attribute of a relation, interaction attributes and Authorization Attributes, each corresponding attribute have corresponding storage region, Mei Gecun
For storing attribute information corresponding with information, the above process is the process for tentatively establishing database framework in storage area domain, following interior
Hold will description how the information storage for providing second user is to database.
Second user is according to the information of offer, --- two level classification --- the three-level class by information according to category
The sequence of not ... M grades classifications, preset data model carry out selection finally determine M grade classifications of information and by such nickname
For the belonging kinds for the information that second user provides.
Data model is the general frame of database, and the information that user provides is the content in frame, by information according to number
It is the process in abundant data library according to the process in the classification storage to database of model, information is the letter that second user provides
Breath, first second user need artificially according to data model each classification judge the classifications at different levels belonging to information until information most
Whole belonging kinds, as category-two level classification ... to belonging kinds input the classification informations at different levels of user
Into database.
The purpose of this preset model be by various things with the real world in preset data model provided by the invention
Corresponding belonging kinds can be found.Classifications at different levels and the other quantity of Attribute class in the present invention can recognize with to things
Know can to the other carry out adaptation of the quantity and Attribute class of classifications at different levels, therefore the present invention to the quantity of category,
The classification and quantity of lower category and the quantity and title of attribute information do not limit.
Step S202：Obtain storage region corresponding with the belonging kinds；
Database receives the classifications at different levels about information that second user provides, and will be at different levels class switching for mark letter
Breath：Level-one mark, two level mark ... M grades of marks, home identities, and identified according to level-one mark, two level ... M grades of marks
Know, the sequence of home identity obtains home identity, and find storage region corresponding with home identity in the database, to
Obtain storage region corresponding with belonging kinds.
Step S203：Described information is subjected to classification storage by the attribute classification in the storage region.
Receive the information that second user provides, and obtain in storage region corresponding with belonging kinds in the database with it is each
Information classification is filled in depositing for different attribute classification by a other storage region of Attribute class, the information that user provides according to itself
In storage area domain, database receives the information that user provides in the corresponding storage region of each attribute classification, and by it according to right
The attribute-bit answered is stored into corresponding data storage areas.
Above procedure is performed a plurality of times, you can in multiple information storages to database that second user is provided, storage is believed
Database after breath is as the presetting database in retrieving of the present invention.
Step S102：By the mode that the weight of each classification is descending, the classification information that first user is selected
In L classification be used as the first screening conditions successively, the second screening conditions ... L screening conditions believe the classification
Breath is used as screening conditions；
The classification information that first user selects in preset data model, if the first user selects in preset data model
L classification assigns L category classification of the first user selection not according to the weight of each classification in preset data model
Same weight, the descending sequence according to weight is successively using L classification as the first screening conditions, the second screening item
Part ... L screening conditions.
The step is that keyword is divided into different weights, not by the primary object of the present invention according to the difference of weight
As in the prior art, the weight of each keyword is the same, therefore the result searched out is by each area of industry-by-industry,
The more complicated inaccuracy of information.Keyword is divided into different weights so that first in the database when search in the present invention
The selection for first carrying out highest level type, selects the type of the information, then gradually refines, until minimum classification so that passes through
The information that the method for the present invention is searched for is more accurate, meets the demand of user, avoids user and is carried out in complicated information
The process of binary search.
Step S103：Information sifting is carried out according to first screening conditions in the preset database, and obtains the first sieve
Information is selected, carrying out information sifting according to second screening conditions in first filter information obtains the second filter information,
And so on until obtaining L filter informations in L-1 filter informations, i.e., carry out information sifting in the database；
Information sifting is carried out according to the first screening conditions in the database, and obtains the first filter information, next screening
Condition is also the screening again carried out on the basis of upper primary filter information, therefore finally obtained L filter informations, is
The final result that L hierarchical levels screen has been carried out in the database.The result is to meet the information of user's screening conditions.
Step S104：The L filter informations are exported, i.e. output meets the information of the screening conditions.
Information needed is obtained in the finally obtained storage region of above-mentioned steps, and information needed is exported, so as to
It is shown by display on server or host computer, the maximum information of weight is placed into display area when display
Foremost.User needs to select classification information, i.e., classifications and/or attribute classification at different levels, the mistake before search in the present invention
Journey is the process that specification user inputs keyword, because of same information classifications and attribute classification at different levels in preset data model
It is consistent, therefore the classification information that different users obtains when being selected in data model for same information needed
（Classifications at different levels and attribute classification）It is also the same, therefore classification information is selected in preset data model by user（Classes at different levels
Other and attribute classification）Process be realize standardization user input keyword purpose.
In addition, the keyword that the classification information that user selects in the present invention uses when being server search, in of the invention
Keyword be divided into different weights, server retrieved successively according to the descending sequence of weight of keyword obtain meeting it is all
The filter information of screening conditions, since the weight of keyword is successively decreased according to the M grades of classification of first-level class secondary classification ...,
And one subseries range be more than secondary classification be more than three-level classify ... be more than M grade classification, due to server be directed to screen
What the proportion of condition was screened, therefore can be realized by the search of maximum magnitude to minimum zone by the differentiation of weight, into
And the result made is more accurate.Following the present embodiment will be described in detail the content in relation to data model.
Data model includes that each hierarchical category once will be described in each hierarchical category：
Level-one major category：Main information, merchandise news, action message, anomalous event and resource information.
Main information：Predominantly organizational information and personal information or general things, merchandise news：It is divided into product letter
Breath and information on services.
The two level classification of tissue includes industry and industry；
The three-level classification of tissue：
The lower category of industry：Traffic, food and drink, amusement, leisure, tourism, lodging, house property property, shopping and market, building
Finishing, health care, financial instrument, government affairs, public utilities, education, human resources, service for life, commerce services, style, biography
Matchmaker, information industry, scientific research technology, breeding and planting, mining industry, manufacturing industry, mass organizations, other etc.；
The lower category of industry：A (information+wisdom+specification), B (consulting+debugging+test+screening), C build, D (it is mating+
It is complete), E（Design+research and development）, F (manufacturing+consume offer), G (tissue+management+supervision), H (training+cultivation), I (beautification
+ packaging), J (marketing+agency+transaction), K (lease+debt-credit), L (storage+transport+record), M operations support, N (treat+prevent
+ maintenance+protection), O (recycling+disposition), P is other etc.；
In each hierarchical category for determining tissue, first choose a trade then selection industry, so that it is determined that the classification of tissue
Attribute；Such as：Determine that each hierarchical category process of a website design company is, select in the industry first " information industry/mutually
Networking " then positions " E " in the industry, " design " in reselection E classes；This three-level attribute just explicitly located the website
Each hierarchical category of Chevron Research Company (CRC).This from present generally by Chevron Research Company's classification it is different in commerce services because in the present invention not
The relationship for also embodying the website company and industry with the relationship of industry is only embodied, therefore is more accurately determined that the website is set
The related information of meter company.
Personal two level classification includes industry, industry and occupation.
The three-level classification of industry and industry is for example above-mentioned, repeats no more；
The three-level classification of occupation：Sale, customer service, skilled worker/worker, general work, foreground, Admin Staff, driver, security personnel, civilian,
Translation, merchandiser, shop assistant, shopping guide, warehouse keeper, purchasing agent, waiter, cashier, cook, cut distribution work, is protected courier
Clean, nurse/nurse, millet cake teacher, bartender, accounting, cashier, gaffer, dishwasher, teacher, shopkeeper, machinery/instrument, decoration are set
Meter, webmaster project, manager, editor/publication, estate management, technical support, the fine arts/design, market/public relations etc..
When determining personal each hierarchical category, choose a trade first, reselection industry, reselection occupation, three-level classification
It binds together, is exactly each hierarchical category of individual；Such as：The accounting of one website design company determines each hierarchical category first
Choose a trade " information industry/internet ", then selects industry " E ", reselection " design ", and reselection occupation " accounting " is so that it is determined that a
Each hierarchical category of people.
The two level classification of product information and information on services：Industry and industry.
Movable two level classification：The sign activity of seeking, in partnership, investigation activity ... social activities etc..
Sign seeks activity three-level classification and includes：Marriage-seeking, conscription, question and answer game, missing, looks for something, recruits, ordering to arrest, recruiting work at contributions
It moves, Articles found, owner please contact, recalls, promotes trade and investment, joining（It is agency, intermediary, distribution, chain）, bring in funds, introduce technology, other ...
Three-level classification in partnership includes：Share, manage jointly, spelling room, share-car, spelling is drunk, spelling is eaten, spelling is sung, spelling is swum, spelling is played, spelling is chatted,
Spell learn, spell use, spell group, spell purchase, spell movement, joining-card, other.
Investigation activity three and classification include：It investigates, inspect, investigation（Market survey, questionnaire survey, ballot activity）, research,
It proves, investigate secretly, other ...
Social activities：Community activity, public welfare activities, charitable activity, donations activity, activity of visiting underprivileged homes, commemorative activity, volunteer
Activity, other ...
Classification is only made that part is enumerated by limitation as space is limited, in the specific implementation can be special according to different activities
Property selection it is different classes of, can infinitely be segmented according to concrete class.
Anomalous event two level classification：Public accident, the industrial and commercial event of natural calamity event ... etc..
The three-level classification of public accident includes public service event, public health event and occurred events of public safety.
The level Four classification of public service event：Cut off the water, have a power failure, stopping the supple of gas or steam, stopping heat, communication disconnection, broadcasting and TV and break ...
The level Four classification of public health event：Infectious disease SARS, bird flu, mad cattle disease, AIDS, the plague, cholera, virus
Property hepatitis, polio, measles ...
The three-level classification of natural calamity event：Earthquake, tsunami, storm wind（Cyclone）, heavy rain, sandstorm, arid, severe snow, thunder
Electricity, sudden-heat, flood, mud-rock flow, landslide, volcano eruption, solar windstorm, ozone black hole ...
Industrial and commercial event three-level classification：Unlicensed business activity, over range operation, closes down place, is antitrust, improper at unreal advertisement
Competition, combat bribery in busines, the smuggling and distribution of smuggled goods ...
It is different classes of according to the selection of the characteristic of different anomalous events, it can infinitely be segmented according to concrete class；
The two level classification of resource is as follows：Place resource, material resources, natural resources ...
Place resource three-level classification：Facility, equipment, tool, raw material, waste and old material ...
Material resources three-level classification：Human resources, animal power resource, financial resource, equity, credits, option, power resource row
Political affairs are permitted（Card for operating, the pass）......
Natural resources three-level classification：Mineral resources, Animal resources, plant resources, biology, water resource, climate resources, soil
Ground, place ...
The wherein different resource characteristics selection of foundation is different classes of, can infinitely be segmented according to concrete class, such as：
Wherein place can be with classification：Planning region, special place
Administrative area：Country, provinces, cities and autonomous regions, cities and counties, cities and counties of area, Jie Zhen, village community, sector ...
Functional areas：Residential area, community, village, village, holiday village ...
Circuit urban road, highway, railway, path, water route, airline, sail line, space line, other particular ways
Line ...
Special place：Platform（Bus station, bus station, railway station, harbour, safety check station, border inspection station, depot, work station,
Freeway toll station, traffic toll gate, medical station law enforcement station ...）；Critical point（Harbour, pass）, field, garden, palace,
Altar, building, hall, the Room, shop, institute, room, field, room, pavilion, shop ...
The base class that main body, commodity, activity, anomalous event and resource are set up with this is built for establishment, displaying, inquiry
Vertical information frame.Get final belonging kinds down step by step by each level attributes, and attribute is established under belonging kinds
The other classification of Attribute class is described more detail below in classification.
The other category of Attribute class：Time-space attribute, attribute of a relation, interaction attributes and Authorization Attributes and essential attribute, under
The time-space attribute of each classification, attribute of a relation, interaction attributes and Authorization Attributes are done same description by face, and essential attribute is done individually
It is introduced.
Time-space attribute two level classification：Time attribute and address properties；
Time attribute, time are described with following general list：
Field includes title, time type（Time point, period, duration）, geological epoch/dynasty information, time-zone information, the time
Reference point information（It is Christian era, present, self-defined）, time orientation information（It is forward and backward）, time numerical value, time counting unit, the time meter
Measure unit（Year, month, day, hour, min, second, delicate, millisecond）, repeat rule（Only once, daily, by week, monthly, quarterly, by ten days,
Per year）And then the versatility description of the time formed.
Address properties divide place, location and the region, field to include：
The whole world/country/province/city（Ground）/ county（Area）/ street（Town）/ village（Society）/ team（Cell）/ Lou Dong/unit/floor/room
Number/interlayer/subregion/row/number/it waits to describe；It should be noted that address can infinitely be segmented according to actual conditions；
Attribute of a relation：Bean vermicelli, concern, credit list（It is blacklist, bad, excellent）, classmate, friend, household, colleague, teacher
Life, fellow villager, neighbours, business relationship（Supplier, client, competitor, partner）, administration be subordinate to external relations（Higher level, peer,
Subordinate）, internal relations（Buying, sale, logistics, finance etc.）, social circle（Sector coil, industry circle, geographical circle, blood relationship circle, god
Edge circle, literary edge circle, love circle, experience circle, interest circle etc.）......；
Interaction attributes：Branch is handed over and quotient hands over
Social attribute includes：It makes a speech, comment on, criticizing, paying close attention to, liking, making a suggestion, giving advice, wanting to go to, leaving a message, complaining, table
It raises；
Quotient hands over the attribute to include：Demand, register, be shortlisted for, supplying, marketing, interacting, merchandising, revenue and expenditure, subscription etc.；
Authorization Attributes：
It should include field：Power type（Supply power：Access, registration, publication, alarm, notice, comment；Demand is weighed：Check,
It downloads, registration, subscribe, purchase；Cooperation is weighed：Agency, distribution, propagation, advertisement, administrative power：Modification, deletion, establishment, undercarriage, control
System etc.）, Permission Levels, authorization object, verification mode, authorising conditional ...
It is the shared attribute of each classification information above, is the essential attribute of each classification information below（It does and individually retouches
It states）：
Organization field includes：Registration code, login name, informant, trade mark, management place, contact details, industrial and commercial registration
Information, individualized signature, manages history, tissue introduction at positioning（Scale, honor qualification, the chronicle of events, resource, case, mechanism setting,
Theory, culture, environment, characteristic, business）, public image, the business stage, real-time business status, property tax information etc..
Personal field includes：Registration code, login name, the pet name, communication information, ID card information, relative address（Native place, work
Make ground, residence, ground of living, fallow land, in real time etc.）, nationality, the birthday, division of life span, real-time status（Mood, body）, duty
Industry, academic title, position, faith, name race, resume, personal information product, constellation.Symbolic animal of the birth year, income, marital status, hobby, taboo, letter
It is situated between, to the impression etc. of people.
Product field includes：Registration code, login name, informant, brand, model, classification, making pattern, product week
Phase, specific, composition, grade, process introduction, parameter index, authentication information, brief introduction, style, applicable object, effect, makes positioning
With notice, the shelf-life, related important persons, scale, method of supplying, supply quantity, supply time, the place of production, the date of manufacture, criticize
Number, string number, size, quality, color, pattern, measurement unit, inventory, the supply of material state, shipping requirement, storage and transportation information, price letter
Breath, mode of doing business, marketing mark, order condition, exchange of value mode, in advance ticket reserving time, retention time, amount on order limit
System, after sale clause etc..
Service field includes：Registration code, login name, informant, brand, model, classification, life cycle, positioning, clothes
Business ability, resource be mating, characteristic, purposes effect, flow introduction, notice, grade, authentication information, brief introduction, adequate and systematic service, offer
Mode, supply quantity, supply time, reserved information, supply status, measurement unit, suitable object, in advance ticket reserving time, reservation
Time, mode of doing business, marketing mark, quantity limitation, order condition, exchange of value mode, consumes notice, after sale at pricing information
Service etc..
Action field includes：Registration code, informant, the class of activity, participates in mode, rank, scale, ginseng at login name
With mode, quantity and distribution, activity purpose, activity context, correlative charges, organizer and resource, hold the time, host place,
Contact person, schedule and responsible person, requirement and restriction, policy of rewards, financial policy, in the stage, real-time status, are registered and are commented at power and responsibility
Choosing, summary, details, points for attention etc.；
Anomalous event field includes：Registration code, login name, informant, at the relationship of event, troublemaker, accident
Manage people, resource allocation and support, type, the event stage, influence the phase, event level, event details, impacted object, reply with
Disposition, result and summary, related place, stage, real-time status, induction event, recovery and reconstruction etc.；
Resources field includes：Login name, login name, informant, classification, right（Ownership, administrative power, the right to use）
People, right disposition, the right term of validity, maintenance information, stage, real-time status, archives and deed, brief introduction, residual value, access
Warrant and the term of validity storing place, are subordinate to, from product, output product etc..
Place field includes in resource：Registration code, informant, classification, law warrant, is applicable in industry, area at login name
Interior resource, area, positioning, advantage, brief introduction, archives deed, address（Place, route, region, Virtual Space）, distribution map, right
With disposition, neighbouring terrestrial reference, complete sets of basic equipment, traffic and communal facility, environment periphery, stage, real-time status etc..
The case where above content describes data model in detail will be established the process of database by data model below.
As shown in figure 3, the process approach of establishing of presetting database is present embodiments provided, including：
Step S301：The information and described information that reception second user provides are in the classifications at different levels of preset data model
Belonging kinds；
Step S302：Obtain storage region corresponding with the belonging kinds；
Step S303：Described information is subjected to classification storage by the attribute classification in the storage region.
Step S304：It obtains and the related related information of described information；
The related information with described information is obtained in the existing information of database, and obtains each level of its related information
The identification information of classification, or acquisition and the associated related information of described information except database, and will be except database
The related information of acquisition is stored according to the process of step S301-S303 into database, and obtains each level class of related information
Other identification information.
Step S305：The related information is associated with described information and is linked.
In the content of the corresponding storage region of attribute classification of described information, for example it is that film is new that second user, which provides information,
News conference is heard, the category that this information belongs to is activity, and two level classification is media, and three-level classification is news conference, in the publication
There is " activity purpose " one in the essential attribute of meeting, " activity purpose " and " Titanic " film are established and connected, specifically
Each rank identification information described in " activity purpose " and " Titanic " film is established and is connected, the category of film is finally linked to
The storage region of property information so that the first user can be jumped to by the link at the interested content of user.
Describe database in detail above establishes process, is described in detail below and is searched according to database progress various dimensions
The process of rope.
As shown in figure 4, the present invention provides a kind of search methods, including：
Step S401：According to preset data model foundation multidimensional axis；
Multidimensional axis is each classification in preset data model, further includes the identification information of each classification in multidimensional axis.
X-axis：Category
X1：Main body：
X1-1：Tissue
X1-1-1：Food and drink, X1-1-2：Amusement, X1-1-3：Leisure etc.
X1-2：It is personal
X1-2-1：Accounting, X1-2-2：Cashier, X1-2-3：Sale etc.
X2：Commodity
X2-1：Product,
X2-1-1：Food and drink
X2-1-1-1：Chinese meal
X2-1-1-1：Stirfried bean curd in hot sauce
X2-1-2：Amusement, X2-1-3：Leisure etc.
X2-2：Service
X2-2-1：Food and drink, X2-2-2：Amusement, X2-2-3：Leisure etc.
X3：Activity
X3-1：Rally, X3-2：Marketing, X3-3：Promote trade and investment etc.
X4：Anomalous event
X4-1：Traffic accident, X4-2：Natural event, X4-3：Business event etc.
X5：Resource
X5-1：Place, X5-2：Tissue, X5-3：Equipment etc.
Y-axis：Industry axis
Y1:Food and drink
Y1-1:Chinese meal
Z axis：Time shaft
Z1：Time value
Z1-1：Year
Z1-1-1:Month
Z1-1-1-1:Day
Z1-1-1-1-1:When
Z1-1-1-1-1-1:Point
U axis：Address axis
U1：China
U1-1:Sichuan
U1-1-1:Chengdu
U1-1-1-1:Wuhou District
U1-1-1-1-1:Mill bridge
A axis：Relationship axis
A1:Quotient hands over
B axle：Essential axis
B9:Presentation mode
B9-2：It delivers goods to the customers
C axis：Interaction axis
C1：Demand
D axis：Permission axis
D1:Power type
D1-1:Purchase right
Step S402：First user logs in searching platform and confirms identity；
First user logs in the platform of retrieval, and confirms user identity by account information.
Step S403：The classifications at different levels of expectation affairs are selected by multidimensional axis；
Conditional filtering is carried out by the different attribute of industry, industry, time, place, affairs itself, in no particular order, freely
Screening；
Step S404：Using the classifications at different levels and the attribute classification as screening conditions；
Information axis is the condition entry of upper level, and each information field is the condition entry of next stage, and condition is in no particular order.
Step S405：In the preset database information sifting is carried out according to the screening conditions；
Screening meets the information of each information axis condition in the database, and will meet conditional information is desired affairs.
Step S406：Output meets the expectation affairs of the screening conditions；
Step S407：Judge registrant whether with access to interactive function by Authorization Attributes；
The possibility interactive function that desired affairs provide：Social, quotient hands over, and judges whether registrant has the right according to Authorization Attributes
Use interactive function.
For example, it is business status collector that a certain company, which provides a kind of product, it is desirable to sell the product（Quotient hands over work(
Energy）It goes out, but the said firm is not intended to sell to the client of all regions, is only intended to business status collector being sold to
Therefore the agent of In Chengdu, the said firm when uploading sale business collector to server, are establishing Authorization Attributes
When, set permission：In Chengdu+agent（Attribute of a relation）, after information is published out, a certain individual wants to go to purchase battalion
Industry state acquisition device, system judge other side's identity（Platform is usually first logged in, platform judges identity according to user name）, see object
Whether in authorising conditional：Whether be In Chengdu clientWhether it is agent, if it is then the client can purchase
Business status collector is bought, if not in authorization object, will be shown：" purchase that you do not obtain business status collector also is awarded
Power ", system will terminate the process of purchase of the client.
Step S408：By realizing relevant issues or business after mandate.
If consumer can authorize with access to interactive function, server to the first user, so that the first user realizes phase
Close affairs or business.
Such as：Consumer's first needs this affairs of purchase computer, first logs into system, and system confirms that its identity is first, choosing
Commodity category information is selected, information industry is then selected, then selects computer industry, selection computer, while can select
Then supply time 2013-3-8, place Chengdu mill bridge select essential attribute, brand strength, price 3000-5000, then
Selection is delivered goods to the customers, and interaction attributes are bought during quotient hands over, and system judges that first either with or without purchase right, if passed through, is bought
Business：It places an order, pay the bill, receive.First is thereby realized by his desired time, place, the corresponding brand of purchase, expectation valence
Lattice and goods providers formula have purchased commodity.
The embodiment realizes a transactional query and associated process, is associated and is screened by attribute item, real
Lookup and business realizing are showed, have established the common template and processing procedure of a real affairs, realize interconnection, improving makes
Use efficiency.
User selects classifications at different levels and the other process of Attribute class before search in the present invention, and as specification user, which inputs, closes
The process of keyword, because same information classification and attribute information in preset data model are consistent, therefore different users
As the classifications at different levels obtained when being selected in data model for same information needed with attribute classification are also, therefore
Selecting classifications and the other process of Attribute class at different levels i.e. in preset data model by user realizes standardization user's input key
The purpose of word.
In addition the present invention carries out keyword search in different scopes by classifications at different levels and attribute classification to information needed,
Different scopes is various dimensions, therefore the present invention realizes and carries out various dimensions retrieval to information needed, and server is in various dimensions
Retrieval obtains information needed under the cooperation of keyword, is scanned in the prior art basically by an a kind of or class keywords,
The obtained complicated inaccuracy of results contrast, the present invention is more accurate by the result that various dimensions are retrieved, so that this hair
Bright obtained information needed is more accurate.Therefore the present invention realizes the keyword that standardization user uses in retrieval so that
Server can go to retrieve according to the keyword of standardization, to be accurately obtained searcher's information needed.
As shown in figure 5, the present invention also provides a kind of retrieval devices, including：
First receiving unit 100, the classification information selected in preset data model for receiving the first user are described pre-
If data model includes X category, each category includes Y two level classification, and each two level classification includes Z three-level
Classification, and so on until each M-1 grades of classification include N number of M grades of classification, each M grades of classification includes each attribute of information
Classification, wherein pressing category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification is successively
Successively decrease, the X category includes：Main information, merchandise news, action message, exception information and resource information, the category
Property classification includes industry industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y,
Z, M and N is natural number than 0；
Conditioning unit 200 is obtained, the mode descending for the weight by each classification selects first user
Classification information in L classification successively be used as the first screening conditions, the second screening conditions ... L screening conditions；
Screening unit 300 for carrying out information sifting according to first screening conditions in the preset database, and obtains
First filter information obtains the second screening in first filter information according to second screening conditions progress information sifting
Information, and so on until obtaining L filter informations in L-1 filter informations；
Output unit 400, for exporting the L filter informations.
As shown in fig. 6, described device further includes：
Second receiving unit 500, the information and described information for receiving second user offer are in preset data model
Belonging kinds in classifications at different levels；
Acquiring unit 600, for obtaining storage region corresponding with the belonging kinds；
Storage unit 700, for described information to be carried out classification storage by the attribute classification in the storage region.
As shown in fig. 7, described device further includes：
Searching unit 800, for retrieval will be with the related related information of described information in the database；
Associative cell 900 is linked for the related information to be associated with described information.
As shown in fig. 7, described device further includes：
Related information output unit 1000, the association link for receiving the first user click, according to the association link
Output related information associated with described information.
As shown in figure 8, the present invention also provides a kind of searching systems, including：
Server 1100, the classification information selected in preset data model for receiving the first user, the present count
Include X category according to model, each category includes Y two level classification, and each two level classification includes Z three-level class
Not, and so on until each M-1 grades of classification include N number of M grades of classification, each M grades of classification includes each Attribute class of information
Not, wherein being passed successively by category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification
Subtract, the X category includes：Main information, merchandise news, action message, exception information and resource information, the attribute
Classification includes industry industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z,
M and N is natural number than 0, by the mode that the weight of each classification is descending, the class that first user is selected
L classification is used as the first screening conditions, the second screening conditions ... L screening conditions, in preset data successively in other information
Information sifting is carried out according to first screening conditions in library, and obtains the first filter information, in first filter information
According to second screening conditions carry out information sifting obtain the second filter information, and so on until in L-1 filter informations
In obtain L filter informations, export the L filter informations；
Display 1200, for showing the information for meeting the screening conditions.
If the function described in the present embodiment method is realized in the form of SFU software functional unit and as independent product pin
It sells or in use, can be stored in a computing device read/write memory medium.Based on this understanding, the embodiment of the present invention
The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, this is soft
Part product is stored in a storage medium, including some instructions are used so that a computing device（Can be personal computer,
Server, mobile computing device or network equipment etc.）Execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory（ROM, Read-Only Memory）, at random deposit
Access to memory（RAM, Random Access Memory）, the various media that can store program code such as magnetic disc or CD.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with it is other
The difference of embodiment, just to refer each other for same or similar part between each embodiment.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (9)
1. a kind of search method, which is characterized in that including：
The classification information that the first user selects in preset data model is received, the preset data model includes X level-one class
, each category does not include Y two level classification, and each two level classification includes Z three-level classification, and so on until each M-
1 grade of classification includes N number of M grades of classification, and each M grades of classification includes each attribute classification of information, wherein by category, two level
M grades of classifications of classification ... and the other sequence of Attribute class, the weight of each classification are successively decreased successively, and the X category includes：It is main
Body information, merchandise news, action message, exception information and resource information, the attribute classification include industry industrial attributes, space-time
Attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z, M and N are natural number than 0；It presses
The descending mode of the weight of each classification, L classification in the classification information that first user is selected successively as
First screening conditions, the second screening conditions ... L screening conditions；
Information sifting is carried out according to first screening conditions in the preset database, and obtains the first filter information, described
In first filter information according to second screening conditions carry out information sifting obtain the second filter information, and so on until
L filter informations are obtained in L-1 filter informations；
The L filter informations are exported, the maximum information of weight is placed to the foremost of display area when display.
2. the method as described in claim 1, which is characterized in that the establishment process of the presetting database includes：
The belonging kinds of the information and described information of second user offer in the classifications at different levels of preset data model are provided；
Obtain storage region corresponding with the belonging kinds；
Described information is subjected to classification storage by the attribute classification in the storage region.
3. method as claimed in claim 2, which is characterized in that the establishment process of the presetting database further includes：
Retrieval and the related related information of described information in the database；
The related information is associated with described information and is linked.
4. the method as described in claim 1, which is characterized in that further include：
Receive the association link that user clicks；
Related information associated with described information is exported according to the association link.
5. a kind of retrieval device, which is characterized in that including：
First receiving unit, the classification information selected in preset data model for receiving the first user, the preset data
Model includes X category, and each category includes Y two level classification, and each two level classification includes Z three-level classification,
And so on until each M-1 grades of classification include N number of M grades of classification, each M grades of classification includes each attribute classification of information,
It wherein presses category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification successively to successively decrease, institute
Stating X category includes：Main information, merchandise news, action message, exception information and resource information, the attribute classification
Including industry industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z, M and N
For natural number than 0；
Conditioning unit is obtained, the mode descending for the weight by each classification, the classification that first user is selected
L classification is used as the first screening conditions, the second screening conditions ... L screening conditions successively in information；
Screening unit for carrying out information sifting according to first screening conditions in the preset database, and obtains the first sieve
Information is selected, carrying out information sifting according to second screening conditions in first filter information obtains the second filter information,
And so on until obtaining L filter informations in L-1 filter informations；
The maximum information of weight is placed display area by output unit for exporting the L filter informations when display
Foremost.
6. device as claimed in claim 5, which is characterized in that further include：
Second receiving unit, for receive second user offer information and described information preset data model classifications at different levels
In belonging kinds；
Acquiring unit, for obtaining storage region corresponding with the belonging kinds；
Storage unit, for described information to be carried out classification storage by the attribute classification in the storage region.
7. device as claimed in claim 5, which is characterized in that further include：
Searching unit, for retrieval in the database and the related related information of described information；
Associative cell is linked for the related information to be associated with described information.
8. device as claimed in claim 7, which is characterized in that further include：
Related information output unit, the association link clicked for receiving first user, exports according to the association link
Related information associated with described information.
9. a kind of searching system, which is characterized in that including：
Server, the classification information selected in preset data model for receiving the first user, the preset data model packet
X category is included, each category includes Y two level classification, and each two level classification includes Z three-level classification, successively class
It pushes away until each M-1 grades of classification includes N number of M grades of classification, each M grades of classification includes each attribute classification of information, wherein pressing
Category, M grades of classifications of two level classification ... and the other sequence of Attribute class, the weight of each classification are successively decreased successively, the X one
Grade classification include：Main information, merchandise news, action message, exception information and resource information, the attribute classification includes industry
Industrial attributes, time-space attribute, essential attribute, attribute of a relation, interaction attributes and Authorization Attributes, wherein X, Y, Z, M and N be except zero it
Outer natural number, by the mode that the weight of each classification is descending, by L class in the classification information of first user selection
It is not used as the first screening conditions, the second screening conditions ... L screening conditions, in the preset database according to described first successively
Screening conditions carry out information sifting, and obtain the first filter information, according to second screening in first filter information
Condition carry out information sifting obtain the second filter information, and so on until obtained in L-1 filter informations L screening letter
Breath exports the L filter informations；
Display, for showing the information for meeting the screening conditions.
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| CN201310152830.1A CN104123302B (en) | 2013-04-27 | 2013-04-27 | Search method, apparatus and system |
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| CN201310152830.1A CN104123302B (en) | 2013-04-27 | 2013-04-27 | Search method, apparatus and system |
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| CN109933681A (en) * | 2019-03-19 | 2019-06-25 | 深圳Tcl新技术有限公司 | Image searching method, device and computer readable storage medium |
| CN113495984A (en) * | 2020-03-20 | 2021-10-12 | 华为技术有限公司 | Statement retrieval method and related device |
| CN111400474B (en) * | 2020-03-20 | 2023-02-03 | 腾讯云计算（北京）有限责任公司 | Intelligent customer service question and answer method and device for government affair service |
| CN115098536B (en) * | 2022-08-24 | 2022-11-22 | 长沙广立微电子有限公司 | Semiconductor data query method, device, electronic equipment and storage medium |
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| CN102236691A (en) * | 2010-05-04 | 2011-11-09 | 张文广 | Precision guided searching tool system |
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