CN115801483B - Information sharing processing method and system - Google Patents

Information sharing processing method and system Download PDF

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CN115801483B
CN115801483B CN202310093656.1A CN202310093656A CN115801483B CN 115801483 B CN115801483 B CN 115801483B CN 202310093656 A CN202310093656 A CN 202310093656A CN 115801483 B CN115801483 B CN 115801483B
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information
initial information
initial
relative similarity
strip
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CN115801483A (en
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金生祥
何奇善
刘红欣
孙宝泉
齐桐悦
陈晓萌
库国亮
郭海滨
杨佳新
张伟东
藳建楠
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Beijing Jingneng Gaoantun Gas Thermoelectricity Co ltd
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Beijing Jingneng Gaoantun Gas Thermoelectricity Co ltd
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Abstract

The invention relates to the technical field of information, in particular to an information sharing processing method and system. According to the information sharing processing method provided by the invention, the information sharing rings which can share information by a plurality of creators are constructed by screening and integrating a plurality of initial information strips created by enterprises according to the relative similarity between different initial information strips. The invention realizes the screening and integration of similar innovation technology on the premise of the innovation requirement of the enterprise, and can ensure the effective utilization of enterprise resources to a great extent by the integration processing mode, thereby improving the feasibility of the innovation technology; meanwhile, the whole process of screening and integrating the initial information strips to obtain the information sharing ring can be completed by designing corresponding programs, so that the situations of leakage of innovative technical content, plagiarism of the innovative technology and even theft caused by personnel flow can be effectively avoided.

Description

Information sharing processing method and system
Technical Field
The invention relates to the technical field of information, in particular to an information sharing processing method and system.
Background
Innovations are the first driving force for leading the development of various industries, and along with the progress and development of the internet information technology, various industries are accelerated to enter an innovation competition new era under big data. Individuals, scientific research institutions and enterprises are innovative subjects, and scientific projects can be declared through a scientific innovation platform, so that public resource integration of different levels and different departments is realized, and the scientific innovation is promoted greatly. In enterprises, the prior art mainly decides a science and technology project declaration through a network science and technology platform, a technical seminar and the like in the enterprises, and the mode mainly aims at a certain important project in the enterprises to carry out innovation, so that the method has strong pertinence and can not well meet the comprehensive innovation demands of the whole enterprise from top to bottom or from bottom to top in the enterprises. Meanwhile, ideas collected through a mode of innovation of the whole staff are widely related, various ideas are good and uneven, and feasibility and corresponding cost are different. In addition, the sharing manner in the prior art is easy to cause the leakage of innovative technical contents, the plagiarism of the innovative technologies and even the occurrence of theft. Therefore, it is needed to provide an information sharing processing method and system to support innovation of all members in enterprises in each industry and meet the requirements of data processing, information confidentiality and the like of innovative ideas.
Disclosure of Invention
Aiming at the shortages of the prior art and the demands of practical application, the invention provides an information sharing processing method, which aims at meeting the innovation demands of the whole members of enterprises and keeping the innovation technology secret while guaranteeing the quality of the innovation technology. The invention provides an information sharing processing method, which comprises the following steps: setting a first time limit, and creating a plurality of initial information pieces in the first time limit; identifying a first relative similarity of the plurality of initial information pieces, and classifying the plurality of initial information pieces according to the first relative similarity; according to the classification result, searching background data aiming at the similar initial information strips; setting a second time limit, and determining an application information strip according to the initial information strip and the corresponding background data in the second time limit; identifying a second relative similarity of the application information pieces, and merging the application information pieces according to the second relative similarity; creating a plurality of initial information sharing circles according to the merging result; setting a third time limit, and confirming the adding intention of an application information bar creator in the initial information sharing circle in the third time limit; and establishing an information sharing circle according to the joining intention. The invention builds an information sharing circle for a plurality of creators to share information according to the relative similarity between different initial information pieces by screening and integrating the initial information pieces from enterprises. The invention realizes the screening and integration of similar innovation technology on the premise of the innovation requirement of the whole staff of the enterprise, and can greatly ensure the effective utilization of enterprise resources by the integration processing mode, thereby improving the feasibility of the innovation technology; meanwhile, the process of screening and integrating the initial information strips to obtain the information sharing ring can be completed by designing corresponding programs, so that the situations of leakage of innovative technical content, plagiarism of the innovative technology and even theft caused by personnel flow are effectively avoided.
Optionally, the time limit lengths of the first time limit, the second time limit and the third time limit set rules satisfy the following model:
Figure SMS_1
wherein ,
Figure SMS_2
indicating the length of the first time period,
Figure SMS_3
indicating the length of the second time period,
Figure SMS_4
indicating the length of the third time period. The setting of the specific time limit length corresponding to different screening processes is the basis for guaranteeing the stable implementation of the invention; and meanwhile, the relative time length among the first time limit, the second time limit and the third time limit is set, so that the fluency and coordination of the whole implementation of the invention are ensured.
Optionally, the identifying the first relative similarity of the plurality of initial pieces of information includes the steps of: arranging a plurality of initial information strips, and extracting the text content of each initial information strip; identifying semantic information of the initial information strip according to the text content of the initial information strip; and obtaining a first relative similarity between any two initial information pieces according to the semantic information. The semantic information includes innovation fields, innovation content, and innovation results. According to the invention, different semantic information in the initial information strips is identified through text semantic, so that the first relative similarity between the different initial information strips is obtained, and the accurate first relative similarity data can accurately represent the similarity or the difference between the different initial information strips.
Further optionally, the first relative similarity includes a first relative similarity model between any two pieces of initial information obtained according to the semantic information, the first relative similarity model satisfying the following formula:
Figure SMS_5
wherein ,
Figure SMS_9
the initial information piece numbered i is indicated,
Figure SMS_11
the initial information piece with the number j is indicated,
Figure SMS_24
representing an initial information strip
Figure SMS_12
With the initial information strip
Figure SMS_23
A first degree of relative similarity between the two,
Figure SMS_16
Figure SMS_21
the region number of the semantic information is represented,
Figure SMS_10
representing the total number of semantic information areas,
Figure SMS_19
a relative similarity contribution weight of a morpheme with the number t representing the semantic information region,
Figure SMS_6
Figure SMS_17
the number of the morpheme is represented,
Figure SMS_15
representing the total number of morphemes within the semantic information area numbered t,
Figure SMS_25
the number in the region t representing semantic information is
Figure SMS_8
Is characterized by that the speech elements of said Chinese patent,
Figure SMS_18
sign language element
Figure SMS_14
The length of the words of (c) is,
Figure SMS_22
representing an initial information strip
Figure SMS_13
The length of the words of (c) is,
Figure SMS_20
representing an initial information strip
Figure SMS_7
Is a word length of (c). The first relative similarity model provided by the invention has strong compatibility and convenient operation, and ensures the data information compatibility range of the same kind of initial information strips in the subsequent classification operation.
Optionally, the classifying the plurality of initial pieces of information according to the first relative similarity includes the steps of: setting a first relative similarity threshold; selecting any initial information strip as a first classification center; extracting a first relative similarity between any two initial information pieces; dividing all initial information strips into an initial information strip sharing group and an information strip sharing group to be classified based on a first classification center according to a first relative similarity threshold and first relative similarity between any two initial information strips; and selecting any initial information strip from the information strip sharing group to be classified as a first classification center to perform classification operation again until the first relative similarity between any two initial information strips in the obtained initial information strip sharing group meets a first relative similarity threshold. The method classifies the initial information strips through the first relative similarity, has high classification efficiency and accurate results.
Further optionally, the classifying the plurality of initial pieces of information according to the first relative similarity further includes the steps of: constructing an initial information strip classification model by using the first relative similarity, wherein the initial information strip classification model comprises the following formula:
Figure SMS_26
wherein ,
Figure SMS_35
Figure SMS_33
a group number representing the initial shared group of pieces of information,
Figure SMS_43
representing the total number of shared groups of initial information pieces,
Figure SMS_36
the representation group number is
Figure SMS_44
Is a shared group of the initial pieces of information,
Figure SMS_28
the initial information piece numbered i is indicated,
Figure SMS_38
the initial information piece with the number j is indicated,
Figure SMS_32
representing the total number of initial information pieces,
Figure SMS_45
representing initial information bar sharing groups
Figure SMS_27
Medium initial information bar
Figure SMS_37
With the initial information strip
Figure SMS_34
First relative similarity between
Figure SMS_42
Initial information bar
Figure SMS_31
With the initial information strip
Figure SMS_40
Representing the same initial piece of information, when
Figure SMS_30
Initial information bar
Figure SMS_39
With the initial information strip
Figure SMS_29
Representing a different piece of initial information,
Figure SMS_41
representing a first relative similarity threshold. The initial information strip classification model provided by the invention can easily edit the corresponding classification program through a computer language, and can realize efficient initial information strip classification by utilizing the classification program.
Optionally, the identifying the second relative similarity of the application information piece includes the steps of: the application information strips corresponding to the initial information strips in the same initial information strip sharing group are arranged; extracting the text content of the application information strip; identifying semantic information of the application information strip according to the text content of the application information strip; and obtaining second relative similarity between any two pieces of application information according to the semantic information of the application information pieces.
Further optionally, the merging application information pieces according to the second relative similarity includes the following steps: setting a second relative similarity threshold; selecting any application information strip as a second classification center; extracting second relative similarity between any two initial information pieces; dividing all application information strips contained in the same initial information strip sharing group into an application information strip sharing group and an application information strip sharing group to be classified based on a second classification center according to a second relative similarity threshold and second relative similarity between any two application information strips; and selecting any application information strip from the application information strip sharing group to be classified as a second classification center to perform classification operation again until the second relative similarity between any two application information strips in the obtained application information strip sharing group meets a second relative similarity threshold.
Further optionally, the creating a plurality of initial information sharing circles according to the merging result includes the following steps: searching the related background data of the application information bar sharing group according to the application information bars in the same application information bar sharing group; evaluating the feasibility of the application information bar sharing group according to the related background data and the application information bar; and creating a plurality of initial information sharing circles according to the feasibility of the sharing groups of the different application information strips.
In a second aspect, in order to be able to efficiently execute the information sharing processing method provided by the present invention, the present invention also provides an information sharing processing system, which includes a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being connected to each other, wherein the memory is configured to store a computer program including program instructions, the processor being configured to invoke the program instructions to execute the information sharing processing method provided by the first aspect of the present invention. The information sharing processing system has compact structure and stable performance, and can efficiently execute the information sharing processing method, thereby improving the overall applicability and practical application capability of the invention.
Drawings
FIG. 1 is a flow chart of an information sharing processing method of the present invention;
FIG. 2 is a flow chart of a method of identifying a first relative similarity of a plurality of initial pieces of information in an embodiment of the present invention;
FIG. 3 is a flow chart of a method for classifying a plurality of initial pieces of information according to the first relative similarity in an embodiment of the invention;
fig. 4 is a block diagram of an information sharing processing system according to the present invention.
Detailed Description
Specific embodiments of the invention will be described in detail below, it being noted that the embodiments described herein are for illustration only and are not intended to limit the invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: no such specific details are necessary to practice the invention. In other instances, well-known circuits, software, or methods have not been described in detail in order not to obscure the invention.
Throughout the specification, references to "one embodiment," "an embodiment," "one example," or "an example" mean: a particular feature, structure, or characteristic described in connection with the embodiment or example is included within at least one embodiment of the invention. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "one example," or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Moreover, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and that the illustrations are not necessarily drawn to scale.
Aiming at the defects of the prior art and the actual demands of enterprises, the invention provides an information sharing processing method, which aims at meeting the innovation demands of the whole members of the enterprises and keeping the innovation technology secret while guaranteeing the quality of the innovation technology. Referring to fig. 1, the information sharing processing method provided by the present invention includes the following steps:
s01, setting a first time limit, and creating a plurality of initial information strips in the first time limit.
In the information sharing processing party provided by the invention, the first time limit is used for limiting the creation time of the initial information bar, namely, the initial information bar created in the first time limit is an effective initial information bar, and the initial information bar created outside the first time limit does not belong to the effective initial information bar. Further, in an alternative embodiment, if the initial information piece created after the first time limit is exceeded, the initial information piece can be used as the initial information piece for the next round of full-member innovation screening, and the initial information piece can be re-created again at the first time limit of the next round of full-member innovation. It will be appreciated that the sufficiency of the first time period ensures to some extent a high degree of participation of the whole person innovation, as well as the quality of the innovation technology. Thus, the length of the first time period is longer, i.e. the innovation pre-mobilization time is more sufficient, than the length of the second time period and the length of the third time period.
The initial information item in step S01 is innovative work content of enterprise staff or manager according to objective conditions of business, demand, management, data, equipment, prior art and the like of the enterprise. In particular, the initial information pieces include contents of innovation backgrounds (technical backgrounds), innovation fields, final targets, and the like of innovation works. In an alternative embodiment, the initial information bar completes the corresponding creation work through a text editing tool, and edits the obtained text content including the innovative background (technical background), the innovative field, the final target and the like of the innovative work. Further, the text editing tools include, but are not limited to, text editing software such as Word, excel, xmind (mind map software). In yet another optional embodiment, the initial information bar completes the corresponding creation work through a picture editing tool, and the content of the picture obtained through editing and creation may also include the content of the innovation background (technical background), the innovation field, the final target, and the like of the innovation work.
S02, identifying first relative similarity of the plurality of initial information pieces, and classifying the plurality of initial information pieces according to the first relative similarity.
Referring to fig. 2, in an alternative embodiment, in the information sharing processing method provided by the present invention, the identifying the first relative similarity of the plurality of initial pieces of information in step S02 includes the following steps: s0211, arranging a plurality of initial information strips, and extracting the text content of each initial information strip; s0212, identifying semantic information of an initial information strip according to the text content of the initial information strip; s0213, according to the semantic information, obtaining a first relative similarity between any two initial information pieces. In particular, the semantic information includes innovation domain, innovation content, and innovation result.
In this embodiment, the first relative similarity includes a first relative similarity model between any two pieces of initial information obtained according to semantic information, where the first relative similarity model satisfies the following formula:
Figure SMS_46
wherein ,
Figure SMS_56
the initial information piece numbered i is indicated,
Figure SMS_50
the initial information piece with the number j is indicated,
Figure SMS_60
representing an initial information strip
Figure SMS_49
With the initial information strip
Figure SMS_59
A first degree of relative similarity between the two,
Figure SMS_55
Figure SMS_65
the region number of the semantic information is represented,
Figure SMS_51
representing the total number of semantic information areas,
Figure SMS_62
a relative similarity contribution weight of a morpheme with the number t representing the semantic information region,
Figure SMS_47
Figure SMS_64
the number of the morpheme is represented,
Figure SMS_54
representing the total number of morphemes within the semantic information area numbered t,
Figure SMS_63
the number in the region t representing semantic information is
Figure SMS_53
Is characterized by that the speech elements of said Chinese patent,
Figure SMS_67
sign language element
Figure SMS_58
The length of the words of (c) is,
Figure SMS_68
representing an initial information strip
Figure SMS_52
The length of the words of (c) is,
Figure SMS_61
representing an initial information strip
Figure SMS_48
Is a word length of (c). The morphemes represent the smallest combination of sound and meaning included in the semantic information. In the present embodiment of the present invention, in the present embodiment,
Figure SMS_66
i.e.
Figure SMS_57
The semantic information area 1 represents semantic information of the innovation field, the semantic information area 2 represents semantic information of the innovation content, and the semantic information area 3 represents semantic information of the innovation result. According to the invention, different semantic information in the initial information strips is identified through text semantic, so that the first relative similarity between the different initial information strips is obtained, and the accurate first relative similarity data can accurately represent the similarity or the difference between the different initial information strips.
It should be understood that any two initial information pieces can obtain a corresponding first relative similarity, and the first relative similarity is used as a basis for clustering classification of subsequent initial information pieces. The first relative similarity obtaining method of any two initial information pieces comprises, but is not limited to, obtaining by using a first relative similarity model provided by the invention; further, the language identification can be obtained by deep learning language programming of artificial intelligence. The first relative similarity model provided by the invention has strong compatibility and convenient operation, and ensures the compatibility range of data information in the same kind of initial information strips in the subsequent classification operation.
Referring to fig. 3, in an alternative embodiment, in the information sharing processing method provided by the present invention, the step S02 of classifying the plurality of initial pieces of information according to the first relative similarity includes the following steps: s0221, setting a first relative similarity threshold; s0222, selecting any initial information strip as a first classification center; extracting a first relative similarity between any two initial information pieces; s0223, dividing all initial information strips into an initial information strip sharing group and an information strip sharing group to be classified based on a first classification center according to a first relative similarity threshold and first relative similarity between any two initial information strips; s0224, selecting any initial information strip from the information strip sharing group to be classified as a first classification center to perform classification operation again until the first relative similarity between any two initial information strips in the obtained initial information strip sharing group meets a first relative similarity threshold. Specifically, in this embodiment, the method classifies the plurality of initial pieces of information according to the first relative similarity, and further includes the steps of: constructing an initial information strip classification model by using the first relative similarity, wherein the initial information strip classification model comprises the following formula:
Figure SMS_69
wherein ,
Figure SMS_75
Figure SMS_73
a group number representing the initial shared group of pieces of information,
Figure SMS_83
representing the total number of shared groups of initial information stripsThe amount of the product is calculated,
Figure SMS_71
the representation group number is
Figure SMS_80
Is a shared group of the initial pieces of information,
Figure SMS_78
the initial information piece numbered i is indicated,
Figure SMS_87
the initial information piece with the number j is indicated,
Figure SMS_72
representing the total number of initial information pieces,
Figure SMS_81
representing initial information bar sharing groups
Figure SMS_70
Medium initial information bar
Figure SMS_86
With the initial information strip
Figure SMS_77
First relative similarity between
Figure SMS_84
Initial information bar
Figure SMS_79
With the initial information strip
Figure SMS_88
Representing the same initial piece of information, when
Figure SMS_74
Initial information bar
Figure SMS_82
With the initial information strip
Figure SMS_76
Representing a different piece of initial information,
Figure SMS_85
representing a first relative similarity threshold. The initial information strip classification model provided by the invention can easily edit the corresponding classification program through a computer language, and can realize efficient initial information strip classification by utilizing the classification program.
It should be understood that the manner of classifying the plurality of initial pieces of information according to the first relative similarity in the present invention includes, but is not limited to, the steps and classification models in the above embodiments. Specifically, in an alternative embodiment, the classification operation of the plurality of initial information pieces can be selectively implemented according to the first relative similarity through a Kmeans clustering method.
S03, searching background data for the same kind of initial information pieces according to the classification result.
It should be understood that the background data retrieved in step S03 is retrieved based on the similarity points of the same set of initial pieces of information. Specifically, the similarity points comprise the same or similar content such as common morpheme vocabulary, similar pictures and the like among the same group of initial information strips, the background data can be used as a general knowledge background of the same group of initial information strips to be fed back to corresponding creators, so that the creators can preliminarily judge the creative quality of the initial information strips according to the initial information strips to determine whether to continue to determine the application information strips according to the initial information strips and the corresponding background data or not, and a preliminary screening basis is provided for the innovation result of the whole person.
Further, the background data includes but is not limited to information modes such as codes, blogs, papers, videos, pictures and the like; the searching mode includes, but is not limited to, crawling in data networks such as hundred degrees, google and the like by utilizing a crawler technology, obtaining by directly purchasing a related database, consulting a person skilled in the related field and the like.
S04, setting a second time limit, and determining an application information strip according to the initial information strip and the corresponding background data in the second time limit.
It should be understood that the application information piece in step S04 is obtained based on the initial information piece and the corresponding background data, and the content in the application information piece may be consistent with the content in the corresponding initial information piece, or may be new content after the corresponding initial information piece is expanded, modified, etc. based on the background data. Accordingly, the corresponding second time limit is a time for limiting the creator to determine the determination and re-creation of the application information piece from the initial information piece and the corresponding background data. The application information bars confirmed in the second time limit are valid application information bars, and the application information bars created outside the second time limit belong to invalid application information bars, wherein the invalid application information bars are regarded as creators to give up corresponding innovation items and corresponding welfare treatments. The duration setting of the second time limit needs to consider not only confidentiality of the innovative technique but also adequacy of the creator's re-creation time. Further, the second time period is shorter than the first time period.
S05, identifying second relative similarity of the application information strips, and merging the application information strips according to the second relative similarity.
The step S05 of identifying the second relative similarity of the application information strip, and merging the specific implementation steps of the application information strip according to the second relative similarity can be implemented by combining the specific implementation steps of step S02 in the embodiment provided by the invention with the characteristics of the application information strip in the same way. Wherein, in an alternative embodiment, the second relative similarity of the identification application information item in step S05 includes the following steps: the application information strips corresponding to the initial information strips in the same initial information strip sharing group are arranged; extracting the text content of the application information strip; identifying semantic information of the application information strip according to the text content of the application information strip; and obtaining second relative similarity between any two pieces of application information according to the semantic information of the application information pieces. In this embodiment, on the basis of performing preliminary division and aggregation on similar innovative contents in steps S01 to S04, the application information pieces corresponding to the initial information pieces in the same initial information piece sharing group are accurately divided again through the second relative similarity.
In yet another alternative embodiment, the step S05 of merging the application information pieces according to the second relative similarity includes the steps of: setting a second relative similarity threshold; selecting any application information strip as a second classification center; extracting second relative similarity between any two initial information pieces; dividing all application information strips contained in the same initial information strip sharing group into an application information strip sharing group and an application information strip sharing group to be classified based on a second classification center according to a second relative similarity threshold and second relative similarity between any two application information strips; and selecting any application information strip from the application information strip sharing group to be classified as a second classification center to perform classification operation again until the second relative similarity between any two application information strips in the obtained application information strip sharing group meets a second relative similarity threshold.
S06, creating a plurality of initial information sharing circles according to the merging result.
It should be understood that, based on the classification of the application information pieces in step S05, the second relative similarity between any two application information pieces included in any one of the initial information sharing circles created by the present invention satisfies the second relative similarity threshold.
In an alternative embodiment, the creating a plurality of initial information sharing circles according to the merging result in step S06 includes the following steps: searching the related background data of the application information bar sharing group according to the application information bars in the same application information bar sharing group; evaluating the feasibility of the application information bar sharing group according to the related background data and the application information bar; and creating a plurality of initial information sharing circles according to the feasibility of the sharing groups of the different application information strips. In this embodiment, the property of the related background data may be analogized to the property of the background data obtained by searching for similar points of the initial pieces of information of the same type in step S03; meanwhile, the meaning of the related background data for the application information bar sharing group can be compared with the meaning of the similar initial information bar compared with the background data obtained by searching in the step S03; the type and the acquisition mode of the related background data can be similarly analogous to the type and the acquisition mode of the background data in step S03. Further, in this embodiment, the means for evaluating the feasibility of the application information item sharing group includes, but is not limited to, evaluating by employing an external third party related technician.
S07, setting a third time limit, and confirming the joining intention of the application information strip creator in the initial information sharing circle in the third time limit.
In an alternative embodiment, the step S07 of confirming the joining intention of the creator of the application information item in the initial information sharing circle includes the steps of: extracting contact ways of application information bar creators in an initial information sharing circle, wherein the contact ways comprise, but are not limited to, enterprise mailbox accounts, telephone numbers and enterprise WeChat accounts; feeding back initial information sharing circle information to a creator of the corresponding application information item through the contact information, wherein the initial information sharing circle information comprises similar contents of all application information items in the initial information sharing circle, related background data and evaluation results of a sharing group of the corresponding application information items, and personal excitation added into the initial information sharing circle; and obtaining the adding intention of the creator of the application information item through the contact information, wherein the adding intention comprises adding the initial information sharing circle and abandoning the initial information sharing circle. According to the invention, objective related background data, evaluation results and other information are fed back to the creator, and the feasibility of the innovative technical content is further evaluated again through autonomous judgment of the creator, so that the effective utilization of enterprise resources is further ensured.
It should be understood that the third time period described in step S07 is to determine the joining intention of the creator of the application information item, and no operations such as modification, correction, etc. are performed on the innovative content within this third time period, so that the length of the third time period is short in order to reduce the overall implementation of the present invention and prevent leakage of the innovative technology. Further, the length of the third time period is shorter than the lengths of the first time period and the second time period. In an alternative embodiment, the length setting rules of the first time limit, the second time limit and the third time limit satisfy the following model:
Figure SMS_89
, wherein ,
Figure SMS_90
indicating the length of the first time period,
Figure SMS_91
indicating the length of the second time period,
Figure SMS_92
indicating the length of the third time period. The setting of the specific time limit length corresponding to different screening processes is the basis for guaranteeing the stable implementation of the invention; and meanwhile, the relative time length among the first time limit, the second time limit and the third time limit is set, so that the fluency and coordination of the whole implementation of the invention are ensured.
S08, according to the adding intention, establishing an information sharing circle.
In an alternative embodiment, the establishing of the information sharing circle according to the joining intention in step S07 includes the following steps: recording the actual number of the adding intention as the adding initial information sharing circle; setting the minimum number of creators of the information sharing circle; the minimum number and the actual number of creators are utilized to establish corresponding information sharing circles. It should be appreciated that the innovative technological content proposed by the multiple creators within the information sharing circle has a high degree of similarity. The invention ensures the feasibility of the innovation items contained in the information sharing circle by setting the minimum number of creators of the information sharing circle.
Referring to fig. 1, through steps S01 to S08, the present invention filters and integrates a plurality of initial pieces of information from an enterprise, and constructs an information sharing circle for a plurality of creators to share information according to the relative similarity between different initial pieces of information. The invention realizes the screening and integration of similar innovation technology on the premise of the innovation requirement of the enterprise, and can ensure the effective utilization of enterprise resources to a great extent by the integration processing mode, thereby improving the feasibility of the innovation technology; meanwhile, the process of screening and integrating the initial information strips to obtain the information sharing ring can be completed by designing corresponding programs, so that the situations of leakage of innovative technical content, plagiarism of the innovative technology and even theft caused by personnel flow are effectively avoided.
Referring to fig. 4, in one embodiment, in order to implement the information sharing processing method provided by the present invention efficiently, the present invention further provides an information sharing processing system, where the information sharing processing system includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is configured to store a computer program, where the computer program includes program instructions, and the processor is configured to invoke the program instructions to execute the information sharing processing method provided by the present invention. The information sharing processing system provided by the invention has compact structure and stable performance, can efficiently execute the information sharing processing method provided by the invention, and is beneficial to improving the applicability and practical application capability of the invention.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (10)

1. An information sharing processing method is characterized by comprising the following steps:
setting a first time limit, and creating a plurality of initial information pieces in the first time limit;
identifying a first relative similarity of the plurality of initial information pieces, and classifying the plurality of initial information pieces according to the first relative similarity;
according to the classification result, searching background data aiming at the similar initial information strips;
setting a second time limit, and determining an application information strip according to the initial information strip and the corresponding background data in the second time limit;
identifying a second relative similarity of the application information pieces, and merging the application information pieces according to the second relative similarity;
creating a plurality of initial information sharing circles according to the merging result;
setting a third time limit, and confirming the adding intention of an application information bar creator in the initial information sharing circle in the third time limit;
and establishing an information sharing circle according to the joining intention.
2. The information sharing processing method according to claim 1, wherein a time limit length setting rule of the first time limit, the second time limit, and the third time limit satisfies the following model:
Figure QLYQS_1
wherein ,
Figure QLYQS_2
indicates the length of the first time period,/-, for example>
Figure QLYQS_3
Indicating the length of the second time period,/->
Figure QLYQS_4
Indicating the length of the third time period.
3. The information sharing processing method as claimed in claim 1, wherein said identifying a first relative similarity of the plurality of pieces of initial information includes the steps of:
arranging a plurality of initial information strips, and extracting the text content of each initial information strip;
identifying semantic information of the initial information strip according to the text content of the initial information strip;
and obtaining a first relative similarity between any two initial information pieces according to the semantic information.
4. The information sharing processing method according to claim 3, wherein the first relative similarity includes a first relative similarity model of a relative between any two pieces of initial information obtained from semantic information, the first relative similarity model satisfying the following formula:
Figure QLYQS_5
wherein ,
Figure QLYQS_8
an initial information item denoted by the number i +.>
Figure QLYQS_11
An initial information item with the number j +.>
Figure QLYQS_16
Representing the initial information piece->
Figure QLYQS_13
And (4) the initial information strip->
Figure QLYQS_17
First relative similarity between +.>
Figure QLYQS_9
,/>
Figure QLYQS_18
Representing semantic information area number,/->
Figure QLYQS_7
Representing the total number of semantic information areas, +.>
Figure QLYQS_15
Relative similarity contribution weight of morpheme with the number t representing the semantic information area, ++>
Figure QLYQS_6
,/>
Figure QLYQS_14
Representing morpheme number,/->
Figure QLYQS_10
Representing the total number of morphemes within the semantic information area numbered t,
Figure QLYQS_23
the number in the semantic information representing area t is +.>
Figure QLYQS_21
Is a Chinese language->
Figure QLYQS_25
Sign of morpheme->
Figure QLYQS_19
Word length of->
Figure QLYQS_22
Representing the initial information piece->
Figure QLYQS_20
Word length of->
Figure QLYQS_24
Representing the initial information piece->
Figure QLYQS_12
Is a word length of (c).
5. The information sharing processing method according to claim 1, wherein the classifying the plurality of pieces of initial information according to the first relative similarity includes the steps of:
setting a first relative similarity threshold;
selecting any initial information strip as a first classification center;
extracting a first relative similarity between any two initial information pieces;
dividing all initial information strips into an initial information strip sharing group and an information strip sharing group to be classified based on a first classification center according to a first relative similarity threshold and first relative similarity between any two initial information strips;
and selecting any initial information strip from the information strip sharing group to be classified as a first classification center to perform classification operation again until the first relative similarity between any two initial information strips in the obtained initial information strip sharing group meets a first relative similarity threshold.
6. The information sharing processing method according to claim 5, wherein the classifying the plurality of pieces of initial information according to the first relative similarity further comprises the steps of:
constructing an initial information strip classification model by using the first relative similarity, wherein the initial information strip classification model comprises the following formula:
Figure QLYQS_26
wherein ,
Figure QLYQS_34
,/>
Figure QLYQS_31
group number indicating the initial information strip sharing group, < +.>
Figure QLYQS_38
Representing the total number of shared groups of initial information pieces, +.>
Figure QLYQS_29
The indication group number is +.>
Figure QLYQS_40
Initial information strip sharing group, +.>
Figure QLYQS_30
An initial information item denoted by the number i +.>
Figure QLYQS_36
An initial information item with the number j +.>
Figure QLYQS_33
Representing the total number of initial information pieces, < >>
Figure QLYQS_45
Representing an initial information strip sharing group->
Figure QLYQS_27
Middle initial information piece->
Figure QLYQS_41
And (4) the initial information strip->
Figure QLYQS_32
First relative similarity between>
Figure QLYQS_39
Initial information piece->
Figure QLYQS_42
And (4) the initial information strip->
Figure QLYQS_44
Representing the same initial piece of information, when +.>
Figure QLYQS_28
At the time of initialInformation strip->
Figure QLYQS_35
And (4) the initial information strip->
Figure QLYQS_37
Representing different initial information pieces +.>
Figure QLYQS_43
Representing a first relative similarity threshold.
7. The information sharing processing method according to claim 1, wherein the identifying the second relative similarity of the application information pieces includes the steps of:
the application information strips corresponding to the initial information strips in the same initial information strip sharing group are arranged;
extracting the text content of the application information strip;
identifying semantic information of the application information strip according to the text content of the application information strip;
and obtaining second relative similarity between any two pieces of application information according to the semantic information of the application information pieces.
8. The information sharing processing method according to claim 7, wherein the combining the application information pieces according to the second relative similarity includes the steps of:
setting a second relative similarity threshold;
selecting any application information strip as a second classification center;
extracting second relative similarity between any two initial information pieces;
dividing all application information strips contained in the same initial information strip sharing group into an application information strip sharing group and an application information strip sharing group to be classified based on a second classification center according to a second relative similarity threshold and second relative similarity between any two application information strips;
and selecting any application information strip from the application information strip sharing group to be classified as a second classification center to perform classification operation again until the second relative similarity between any two application information strips in the obtained application information strip sharing group meets a second relative similarity threshold.
9. The information sharing processing method as claimed in claim 8, wherein the creating a plurality of initial information sharing circles based on the combination result includes the steps of:
searching the related background data of the application information bar sharing group according to the application information bars in the same application information bar sharing group;
evaluating the feasibility of the application information bar sharing group according to the related background data and the application information bar;
and creating a plurality of initial information sharing circles according to the feasibility of the sharing groups of the different application information strips.
10. An information sharing processing system, characterized in that the information sharing processing system comprises a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being connected to each other, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to execute the information sharing processing method according to any of claims 1 to 9.
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