CN1434401A - Method and system for recording and taking interperson relation information between person and organization - Google Patents
Method and system for recording and taking interperson relation information between person and organization Download PDFInfo
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- CN1434401A CN1434401A CN 03100501 CN03100501A CN1434401A CN 1434401 A CN1434401 A CN 1434401A CN 03100501 CN03100501 CN 03100501 CN 03100501 A CN03100501 A CN 03100501A CN 1434401 A CN1434401 A CN 1434401A
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Abstract
The invention refers to a application of databank, especially a method and system which is used in recording and extracting the interpersonal relatino between person and organization. Many relations have been defined in interpersonal relation databank according to tree structure, the latent relation between person and organization can be extracted on base of the defined relations. The method for searching a entity interpersonal relation in databank: first, in order to response searching request which contains the first entity identification code from researcher, the relation of the first entity is extracted from databank, then through the extracted relation, it extracts the latent relation of the first entity; finally, arranges the extracted latent relation and transmits to researcher.
Description
Technical field:
The present invention relates to a kind of utilization of Copyright Law About Databases, particularly apply to record and extract the method and system of interpersonal relationships between individual and tissue.
Background technology:
Society participate in social activities miscellaneous via many individuals and tissue and by the interactive and vigor that more is added with each other with prosperous.The special interpersonal relationships between people and the tissue has all been created in each social activities.For example, interpersonal relation may build in the work, public activity or the movable participation of obligation, and process (such as old boy network) is gone to school in the adding of faith group, even simple inherent genetic connection or friends.In addition such as company's line number, between the tissue such as nonprofit organization and church, also may be because group, transaction and religious sect etc. and produce each other relation.We can utilize the relation that defines in the relevant database between these diversified people and tissue, and these directly tangible relations can be captured certainly.For example, all names that your fechtable is held a post in a certain company, the relevant individual that your fechtable has relationship by blood, or other any relation of in database, directly obviously putting down in writing.But with regard on the other hand, potential (or indirect) relation then can't capture.
Summary of the invention:
The purpose of this invention is to provide a kind of method, utilize computer system and computer fetch medium, come in the acquisition data storehouse significantly (explicit) and potential (implicit) individual and the interpersonal relationships between tissue.
Purpose of the present invention is to realize like this, at first the various obvious interpersonal relationships between individual and tissue all is stored in the interpersonal relationships database according to tree, according to these obvious interpersonal relationships, come individual potential in the acquisition data storehouse and the interpersonal relationships between tissue.
Or, the method for special entity (individual or entity) interpersonal relation in a kind of search database is provided.This method roughly is divided into two steps: at first, when the search demand of searching a special entity interpersonal relation was accepted, the various obvious interpersonal relation of this entity will be by being captured out in the database.Following step captures potential individual and the interpersonal relationships between tissue via above-mentioned various obvious interpersonal relationships.The search of relation will be guided the degree of depth of its search by the search level of appointment in the search demand, and various obvious and potential individual who is captured and the interpersonal relation between tissue are through being sent to search demand end for inspection after the layout.Particularly, this method is to implement in the network environment such as the internet.
Advantage of the present invention is: we can utilize these the direct tangible relations between the diversified people that defines in the relevant database and tissue, come individual potential in the acquisition data storehouse and the interpersonal relation between tissue, because this method is to implement in Internet environment, the search space of interpersonal relation is diminished, become simple, easy, rapid, extensive, very favourable for knowing yourself as well as the enemy in the business activity efficiently at present, method and system of the present invention can be applied to social all departments widely.
Pay figure explanation:
Be relevant to the aforementioned every viewpoint of the present invention and advantage, obtain deep understanding in can and describing in detail via following relevant indicators.
Fig. 1: the inventive method is used overall calculation machine system schematic.
Fig. 2 A: be the composition assembly block schematic diagram of server shown in Figure 1.
Fig. 2 B: the composition assembly block schematic diagram of holding computing machine for user shown in Figure 1.
Fig. 3: the present invention is stored in the obvious interpersonal relation synoptic diagram of representing according to tree structure in the interpersonal relation database.
Fig. 4: the logic that defines the interpersonal relation database for flowchart text the present invention.
Fig. 5 A-5D: how the present invention captures as the interpersonal relation between corresponding obvious and potential individual of first level to the, four levels of the interpersonal relation tree derivation of Fig. 3 and tissue.
Fig. 6: the logic of searching two inter-entity relation for flowchart text the present invention.
Fig. 7: be easy screen example, be used for importing the search demand of searching two inter-entity relation.
Fig. 8: for easy screen example, based on the search demand of Fig. 7, be used for showing that the inputs of two obvious and potential interpersonal relationshipss of inter-entity search the search demand of two inter-entity relation.
Embodiment:
Fig. 1 describes and carries out the present invention and be used for capturing the employed overall calculation machine of interpersonal relationships system architecture between obvious and potential individual and tissue.According to the present invention, the search demand that server 20 acceptance are transmitted via the Internet 24 by use side personal computer 22; Server 20 is finished search demand, layout search result and the result is replied to the search demander, and promptly the use side personal computer 22, and use side personal computer 22 also shows search result.In the preferred example that figure says, use side personal computer 22 is to be attached to server via the Internet; Yet further, use side personal computer 22 also can link via internal network or modulator-demodular unit goes up server 20, even use side personal computer 22 and server 20 also can be same computing machines.Therefore, search demand and search logic can or be finished under the environment of a network at a platform independent computer.
Fig. 2 A describes into the chief component assembly that server 20 of the present invention is correlated with.Generally speaking our server 20 of praise can comprise the shown more composition assembly than Fig. 2 A; Yet the composition assembly that we do not need all general computers of icon to possess illustrates most preferred embodiment of the present invention.As Fig. 2 A, server 20 comprises central processing unit 30, display 37 and Installed System Memory 32.Installed System Memory 32 comprises random access memory (RAM) 33, ROM (read-only memory) (ROM) 34, and a large amount of storage facilitiess, and as Winchester disk drive, magnetic tape station, optical device, floppy drive or any about above-mentioned combination.Installed System Memory 32 stores carries out the necessary program code of the inventive method and data, particularly stores the interpersonal relationships database, and we can be further described the interpersonal relationships database backward.Another selection is, has some Installed System Memories 32 to close with the network lotus root that server 20 links, and server 20 just can be via network access Installed System Memory 32, and not necessarily wants internal memory 32 entities to exist in the server 20.
As what mentioned before, use side personal computer 22 transmits the search demand and gives server 20, and the long-range connection of server 20 through being set up by external interface 36 is returned to use side with search result.Fig. 2 B explanation use side personal computer 22 is used for assigning the search demand and shows the necessary primary clustering of search result.Explanation again, generally speaking our the use side personal computer 22 of praise can comprise the shown more composition assembly than Fig. 2 B; Yet, for most preferred embodiment of the present invention being described, all composition assemblies that we do not need all general computers of icon to possess.Use side personal computer 22 is linked up via external interface 46 and server 20.Describing instantiation of the present invention in this is that use side personal computer 22 is connected to regional network, also can be connected to the Internet in addition.Relative, external interface 46 is above-mentioned online required circuit by adapter and other.External interface 46 also closes medium by a specific lotus root simultaneously and supports TCP/IP network communication protocol or specific LAN framework.Of the present invention another is practiced as use side personal computer 22 utilization modulator-demodular units as external interface 46, directly connects server 20.
Except external interface 46, use side personal computer 22 also includes display 47, Installed System Memory 42 and processor 40.Installed System Memory 42 stores the search result by server 20 feedbacks, and carries out the program code of display result on display 47 such as browser by processor 40.
At last, the use side personal computer includes input equipment 48, is used for allowing the user import his search demand.Input equipment 48 might be general common equipment, such as keyboard, and mouse, trace ball etc., or any combination about as above.
A kind of most preferred embodiment of the present invention is implemented for utilizing the Internet, yet other implementation method also is feasible equally as computing machine independently.Here illustrate and illustrate the Internet embodiment, a user (as the terminal user 22 of Fig. 1) input field item input search demand on webpage is initial as what search, the consistent resource addressing device URL that comprises the search demand is to an Internet server (as the server 20 of Fig. 1) solicited message, so Internet server is analyzed the search demand of URL, capture the obvious and potential relation in the interpersonal relation database, and the result is replied to search demand demander.Further praiseworthy is that search demand claimer not necessarily it is generally acknowledged user (such as a people), for example, also may be computer software programs that automatically produce the search demand.
In order to capture various obvious and potential individuals and the interpersonal relationships between tissue to reply the search demand, must exist an interpersonal relational database to reach potential relation and comply with a kind of mode of fechtable and store obvious.
Fig. 3 draws out the example that concerns between various individual and tissue, and they store to be applicable to method of the present invention according to tree structure in the interpersonal relation database.There is a group of enterprises 50 in summit at this tree structure, and it is made up of company 1, company 2 and company 3, concerns that via group-company 51 link between group of enterprises and the company; Company 1 is made up of many 1-N of department, and concerns that via company-department 52 are connected; Then department 1 comprises a subdivision 11, people (employee) 3 and another people 4 be via concern 53 bindings one by one; Further department has two individual 1-2 for 11 times, and via concerning that 54 connect.
Simultaneously, individual 3 concerns that via tissue 1 55 is relevant with individual K, and this relation may be non-about Job; 5 people N of individual K and individual via with tissue 2 concern 56, and be associated with each other.Further, individual 4 has with individual 5 that a cousin's concern 57.
In the interpersonal relational database, the mutual obvious relation of individual or entity is put down in writing according to tree just as shown in Figure 3, and its logic such as Fig. 4 state.The logic of Fig. 4 from " initial " square enters square 60, the relation (concerning 51 as group of enterprises among Fig. 3 and company) of square 60 definition intercompany; Square 61, the relation that defines each company and its department (concerns 52 as company among Fig. 3 and department; Square 62 defines variant subdivision of each department and subordinate or employee's relation (as concerning 53,54 among Fig. 3); Square 63 defines everyone personal relations (as concerning 55,56,57 among Fig. 3) except the work tenure; Square 64, other relation between other entity of definable (individual or entity).Then arrived decision-making square 65, we judge whether that all obvious relations all have been defined and finish (being that the interpersonal relation database is finished with construction) at this; If still undefined finishing then got back to square 60,61,62,63 or 64 and continued to define other relation; If all relations all have been defined and have finished, just the construction of interpersonal relation database is crowned with success thus.
Simultaneously, shown via the narration of front explanation, Fig. 3 particularly, individual or entity is linked to each other via many relations in the interpersonal relation database, simultaneously shown that also potential relation can be captured out via the tangible relation of 51-57 illustrated in fig. 3.For example, individual 3 and individual 5 do not show on ground and are associated with each other (that is to say it doesn't matter line directly connects two entities) among Fig. 3, but individual 3 potential (indirect) are associated to individual 5, because individual 3 is via concern that 55 significantly are associated to individual K, and individual K is via concerning that 56 significantly are associated to individual 5; In other words, via 55,56 follow-up analysis that significantly concern, learn individual 3.Potential is associated to individual 5.Another angle or side by side significantly concerns 53,57 via follow-up analysis, learn individual 3 potential be associated to individual 5 because individual 3 is via concern that 53 are linked to individual 4, and individual 4 is via concerning that 57 are linked to individual 5.As illustrated in icon herewith, may there be more than one potential relation between two entities.Further be exemplified below, individual 1 with individual 5 potential related, can concern that significantly 54,53 and 57 realize via follow-up analysis, perhaps also can significantly concern 54,53,55 and 56 via follow-up analysis.Thereby by defined obvious relation in the interpersonal relationships database, countless potential relations can thereby be shown or captured.
The potential relation that can be captured is will proceed to many dark (namely searching level) based on the starting point of searching and search.Particularly, utilize Fig. 5 A-5D narration explanation to search the inquiry result by what obtain in Fig. 3 icon data, the starting point of searching here be individual 1 or individual 2, and search is that a cumulative level is introduced respectively.Fig. 5 A demonstrates individual 1 and individual 2 significantly concerns 54, and both are all the member of department 11; The search level here is 1, significantly concerns 54 because only use one.
Fig. 5 B demonstrates many one group individual 3 and the obvious of individual 4 and concerns 53, and other four groups of potential relations, and these potential relations are via the obvious relation and captured out of follow-up analysis 54,53 by individual 1 and individual's 2 beginnings; Particularly, such as following in twos to each other potential relation: individual 1 and individual's 3 potential relation, individual 2 and individual's 3 potential relation, individual 1 and individual's 4 potential relation, and individual 2 and individual's 4 potential relation.The search level here is 2, because use 2 significantly relations: concern 53 and concern 54.
Fig. 5 C demonstrates two groups of increasing more and significantly concerns: individual 3 and individual k via the obvious relation that concern 55 (belonging to tissue 1 together), and individual 4 and individual 5 obvious concern 57 (cousin).Four groups of potential relations that increase in addition more, these potential relations be by individual 1 and individual's 2 beginnings via the obvious relation and captured out of three of follow-up analysis: individual 1 and individual's 5 potential relation significantly concerns 54,53 and 57 and obtain via follow-up analysis; Individual 1 and the potential relation of individual K significantly concern 54,53 and 55 and obtain via follow-up analysis; Individual 2 and individual's potential relation of 5 significantly concern 54,53 and 57 and obtain via follow-up analysis; Individual 2 and the potential relation of individual K significantly concern 54,53 and 55 and obtain via follow-up analysis.The search level here is 3, because use 3 significantly relations: concern 53, concern 54 and concern 55 or concern 53, concern 54 and concern that 57 come in regular turn follow-up analysis to capture potential relation.(in like manner, search level and be 3 search, also can utilize to concern 53, concern 54 and concern that 52 come in regular turn follow-up analysis to capture potential relation.)
Fig. 5 D shows that a group of increasing significantly concerns more: individual 5, individual k and individual N via the obvious relation that concerns 56 (belonging to tissue 2 together) via concerning 56 (belonging to tissue 2 together).Eight groups of potential relations that increase in addition, these potential relations more be by individual 1 and individual's 2 beginnings via the obvious relation of four of follow-up analysis: concern 54,53,55 and 56 or concern 54,53,57 and 56, and quilt is captured out.Eight groups of potential relations comprise: individual 1 and individual's potential relation of 5 significantly concern 54,53,55 and 56 and obtain via follow-up analysis; Individual 2 and individual's potential relation of 5 significantly concern 54,53,55 and 56 and obtain via follow-up analysis; Individual 1 and the potential relation of individual N significantly concern 54,53,55 and 56 and obtain via follow-up analysis; Individual 2 and the potential relation of individual N significantly concern 54,53,55 and 56 and obtain via follow-up analysis; Individual 1 and the potential relation of individual K significantly concern 54,53,57 and 56 and obtain via follow-up analysis; Individual 1 and the potential relation of individual N significantly concern 54,53,57 and 56 and obtain via follow-up analysis; Individual 2 and the potential relation of individual K significantly concern 54,53,57 and 56 and obtain via follow-up analysis; Individual 2 and the potential relation of individual N significantly concern 54,53,57 and 56 and obtain via follow-up analysis.Notice in this example that individual 1 and individual N have two potential relations, and be same, individual 2 and individual N also have two potential relations.(be 3 search when searching level, utilize to concern 53,54 and at 52 o'clock, then search level and be 4 search, just can utilize to concern that 53,54,52 and 51 come in regular turn follow-up analysis to capture potential relation).
So, interpersonal relationships database of the present invention not only definable concerns therein that significantly fechtable only is potential relation simultaneously.Such as a special embodiment, the interpersonal relationships database can be used to search and capture obvious or potential relation between two entities (individual or entity), is used for judging whether have relation to exist between the two.The flow chart statement of Fig. 6 has illustrated that the present invention finishes the logic of this kind search.The logic of Fig. 6 is begun to square 70 by initiator block, and this square receives by the search demand that will search specific search level N between entity A (individual or entity) and the entity B (individual or entity) of sending of searching demander (as Fig. 1 use side personal computer 22).Screen example-the screen 80 of Fig. 7 marginal data one data input; In this legend, search demander square 81 input individuals 1 and square 82 input individuals 5, indication wishes to know relation between the two, the i.e. tangible or potential relation that may exist between the two; Search the search level " 4 " that demander is finished in square 82 input hope simultaneously.Behind input all squares 81,82 and 84, the search demander can click search button 86 and give server 20 (such as Fig. 1) with the search demand.
Again with reference to figure 6, when square 70 receives the search demand, logic just down proceeds to square 71, searches level counting " L " here and is set to " 1 ".Next, enter square 72, inquire about in the interpersonal relational database by entity A at this and begin to follow the trail of the data of level of searching for " L " (equaling " 1 " this moment).For instance, the marginal data before continuing, the logic of query graph 3 databases, as discussed above from the relation that entity A (individual 1) begins to search level 1 fechtable such as Fig. 5 A, Fig. 5 A demonstrates individual 1 and individual 2 significantly concerns 54.With reference to figure 6, logic down proceeds to square 73 more again, judges at this point whether entity B (individual 5) is contained in the relation that captures.In illustrative examples, because individual 5 does not appear in the search result of Fig. 5 A, logic down proceeds to decision-making square 74 again, judge that at this whether present search level counting " L " is less than the search level " N " by the appointment of search demander, if like this, logic just down proceeds to square 75, and search level counting " L " up adds 1.Logic returns square 72 then, and inquires about the data that is begun to follow the trail of the level (equaling " 2 " this moment) of searching after increasing in the interpersonal relational database by entity A (individual 1).
Actuating logic repeats same program, up to judge at decision-making square 73 entity B (this example for individual 5) found till.In the explanation legend, individual 5 ties up to individual 1 pass for the first time and searches level 3 (Fig. 5 C) and realized; Clear and definite says, individual 1 and individual's potential relation of 5 among Fig. 5 C significantly concern 54,53 and 57 and obtain via follow-up analysis.Then, actuating logic moves on to square 76, and the found relation about between entity A and entity B is stored the some as end product.Perhaps, this relation is not that individual 1 and individual 5 is in present unique only relation of searching level (level 3), therefore, actuating logic comes back to square 72, and repetitive routine square 72,73 and 76 for several times (via the different obvious relation of follow-up analysis) may have two various relations of inter-entity to find.If all are all found about the relation of two inter-entity at present search level (level 3), at decision-making square 74, judge that whether present search level counting " L " is less than the search level " N " by the appointment of search demander, because it is bigger than searching level " 3 " at present that the search level that example requires is " 4 ", therefore search in the square 75 level counting " L " up add 1 and logic return square 72, continue inquiry and follow the trail of the data that increases level later (equaling " 4 " this moment) of searching.At square 73, the potential relation of searching level 4 between individual 1 and the individual 5 significantly concerns 54,53,55 and 56 and find via follow-up analysis.Square 76, found relation is stored the some as end product, and repetitive routine square 72,73 and 76 may exist two inter-entity to search level as " 4 " various relation to find for several times.
Still with reference to figure 6, at decision-making square 74, the search level counting " L " present through judgement goes on foot less than by the search level " N " of searching the demander appointment, that is to say, searches so far to require to finish according to searching demander.Then, at decision-making square 77, need to judge whether search result reaches is empty (that is to say, do not find any relation that exists between entity A and entity B), under this its condition, enter and carry out square 78, perhaps, processing logic can be sent a message similar " it doesn't matter, and level is searched in found-increase ", informing the search demander, though desired relation does not find, is to find each other relation if further search (increase and search level).If at decision-making square 77, judge that search result is not empty, just actuating logic enters square 79 so, put all relations that are present between entity A and the entity B that find at this and can and give the search demander by layout.Fig. 8 is with the example graphic extension, searches demander via the resulting response of search demand that Fig. 7 sent.Check the screen of Fig. 8, the search demander can understand and know from experience individual 1 and how individual 5 is associated with each other via two relations.At first, their relation is that adding individual 4 and individual 5 is relations of a cousin because individual 1 and individual 4 are colleagues of department 1.The second, their relation is because individual 1 and individual 3 are colleagues of department 1, and individual 3 and individual K be the member of tissue 1, adds member that individual K and individual 5 be both tissue 2 etc. and concerns.Shown in diagram, individual 1 and individual 5 can be emphasized, can recognize easily these entities and the relation in the middle of them just so search demander.
When most preferred embodiment of the present invention was illustrated and describes, still there were many variation spaces in we and still do not depart from spirit of the present invention and scope when understanding.For example, one of careful consideration of the present invention is: in a single day be defined within the database for an obvious relation, even concerned after date when this, this relation only can be become by annotation " inefficacy " and can't help to remove in the database.For example, when a people's occupation after changing, the tenure record before him (also just says, obvious relation exist put down in writing before him tenure note down) be not removed, just become by annotation " inefficacy ".This way in addition between individual and tissue when change relation, database is able to Sustainable Growth.
Claims (4)
1. a record and extract the method for interpersonal relation between individual and tissue, it is characterized in that: it is by computer system and computer fetch medium, come in the acquisition data storehouse significantly and potential individual and organize between interpersonal relation.
A kind of record according to claim 1 and extract the individual and organize between the method for interpersonal relationships, it is characterized in that: the various obvious interpersonal relationships between individual and tissue all is stored in the interpersonal relationships database according to tree, according to these obvious interpersonal relationships, come individual potential in the acquisition data storehouse and the interpersonal relationships between tissue.
3. the method for interpersonal relation between a kind of record according to claim 1 and extraction individual and tissue, it is characterized in that: when in database, searching a special entity interpersonal relation, various obvious interpersonal relations will at first be searched, next, search level via appointment in above-mentioned various obvious interpersonal relation and the demand captures potential individual and the interpersonal relation between tissue, and various obvious and potential individual who is captured and the interpersonal relation between tissue are through being sent to search demand end for inspection after the layout.
A kind of record according to claim 1 and extract the individual and organize between the used system of method of interpersonal relationships, it is characterized in that: individual end computer can be connected with server via internal network or LAN or internet or modem, or personal computer and server are same computer.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US10/057,290 US20020147710A1 (en) | 2001-04-10 | 2002-01-24 | System and method of recording and extracting relations between people and organizations |
| US10/057,290 | 2002-01-24 |
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| CN1434401A true CN1434401A (en) | 2003-08-06 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN 03100501 Pending CN1434401A (en) | 2002-01-24 | 2003-01-16 | Method and system for recording and taking interperson relation information between person and organization |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101968810A (en) * | 2010-10-28 | 2011-02-09 | 北京开心人信息技术有限公司 | Tree data structure based method and system for demonstrating interactive contents among friends |
| WO2012151726A1 (en) * | 2011-05-10 | 2012-11-15 | Hong Tao | Method for measuring coefficient of contacts of online social network |
| CN101854439B (en) * | 2010-02-04 | 2012-11-28 | 深圳市同洲电子股份有限公司 | Interpersonal relationship analysis method and system based on ticket |
| CN103544231A (en) * | 2013-10-07 | 2014-01-29 | 宁波芝立软件有限公司 | Genetic relationship node integration reuse method, system and equipment |
| CN104182535A (en) * | 2014-08-29 | 2014-12-03 | 苏州大学 | Method and device for extracting character relation |
-
2003
- 2003-01-16 CN CN 03100501 patent/CN1434401A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101854439B (en) * | 2010-02-04 | 2012-11-28 | 深圳市同洲电子股份有限公司 | Interpersonal relationship analysis method and system based on ticket |
| CN101968810A (en) * | 2010-10-28 | 2011-02-09 | 北京开心人信息技术有限公司 | Tree data structure based method and system for demonstrating interactive contents among friends |
| WO2012151726A1 (en) * | 2011-05-10 | 2012-11-15 | Hong Tao | Method for measuring coefficient of contacts of online social network |
| CN103544231A (en) * | 2013-10-07 | 2014-01-29 | 宁波芝立软件有限公司 | Genetic relationship node integration reuse method, system and equipment |
| CN104182535A (en) * | 2014-08-29 | 2014-12-03 | 苏州大学 | Method and device for extracting character relation |
| CN104182535B (en) * | 2014-08-29 | 2017-05-24 | 苏州大学 | Method and device for extracting character relation |
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