CN111651462A - Thesis indexing system based on block chain technology - Google Patents
Thesis indexing system based on block chain technology Download PDFInfo
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- CN111651462A CN111651462A CN202010578729.2A CN202010578729A CN111651462A CN 111651462 A CN111651462 A CN 111651462A CN 202010578729 A CN202010578729 A CN 202010578729A CN 111651462 A CN111651462 A CN 111651462A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses a thesis indexing system based on a block chain technology, which takes an information distributed storage, non-tampering, traceable and excitable block chain platform as a bottom layer framework, wherein the block chain platform of the system is connected with four functional modules, including a thesis data storage module, a thesis hierarchical sharing module, an intelligent recommendation module and a thesis feedback evaluation module; the system comprises a paper data storage module, a document editing module and a document editing module, wherein the data sources of the paper data storage module comprise an author, a periodical, a reviewer and a referrer, and the paper data storage module is used for storing the whole process information of each paper from writing, contribution, review, publication, citation and feedback; the invention has the beneficial effects that: the invention utilizes the block chain technology, so that the whole life cycle of writing-submission-manuscript examining-publishing-quoting-feedback of each paper can be disclosed and transparent, the experimental data of the paper is disclosed, transparent, credible and traceable, the counterfeiting of academic achievements can be effectively avoided, and the invention can improve the indexing speed of the paper and the effective supervision of the paper.
Description
Technical Field
The invention belongs to the technical field of thesis indexing, and particularly relates to a thesis indexing system based on a block chain technology.
Background
In recent years, paper regulatory-out events have occurred. Such phenomena will mislead the research direction of subsequent researchers, resulting in the waste of a great amount of talents, time and expenses. Such events also seriously hit the confidence of the people in the academic ability of the country, reduce the speaking right of the country in the academic world and go against the national strategy of the strong culture country.
On the other hand, paper retrieval systems are a huge entry to traffic. At present, the industry only depends on the copyright of the paper to obtain income, and the huge flow of the paper is not converted into economic benefit, so that a great deal of social resources are wasted. At present, all paper retrieval platforms divide charge limits through the grades of published periodicals of papers, and accurate pricing cannot be finished according to the quality of the papers, so that the rights of consumers are guaranteed; the conventional paper retrieval system acquires the papers through the traditional keyword search function, so that the time and energy cost of a paper searcher is increased, and higher professional literacy is provided for the paper searcher to influence the use experience of the paper searcher; meanwhile, the conventional paper retrieval system only provides influence factors of periodicals, and a learning communication platform is not established among the same lines, so that the accurate evaluation of each paper is realized.
The above phenomena are directly related to the imperfection of the existing thesis retrieval system. Most of the current paper retrieval systems stay in a search stage, the whole life cycle management of writing, submission, manuscript examination, publication, citation and feedback of papers cannot be realized, and the punishment on academic counterfeiting behaviors is delayed seriously. Meanwhile, the enormous traffic generated by the paper retrieval cannot be utilized to generate additional value.
In order to solve the above problems and provide a more convenient thesis search service, a more optimized thesis search system is needed to record the whole life process information of the thesis, i.e. writing, submission, examination, publication, citation and feedback, on a block chain platform in real time. Each paper is accurately graded and priced; a perfect recommendation function is established, and the time cost of subsequent researchers is saved; the thesis content is accurately evaluated, the one-key forwarding function is realized, and a public and transparent academic communication platform is created.
Blockchain technology is also rapidly evolving. The block chain technology is applied to more and more fields due to the characteristics of distributed storage, open transparency and an excitation mechanism. If the block chain technology is combined with the current paper retrieval system to form a paper indexing system and method based on the block chain technology, the problems of low paper retrieval efficiency, long feedback period and large paper evaluation granularity are effectively solved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a thesis indexing system based on a block chain technology, which solves the problems of real-time storage, tracing and supervision of whole life process information from the process of paper acquisition, writing-submission-publication-citation-feedback, and can also realize the functions of thesis, experimental instrument, experimental consumable recommendation, on-line interaction of researchers and thesis evaluation according to requirements.
A thesis indexing system based on a block chain technology is characterized in that an information distributed storage, non-tampering, traceable and excitable block chain platform is used as a bottom layer framework, and the block chain platform of the system is connected with four functional modules, wherein the functional modules comprise a thesis data storage module, a thesis hierarchical sharing module, an intelligent recommendation module and a thesis feedback evaluation module;
the system comprises a paper data storage module, a document editing module and a document editing module, wherein the data sources of the paper data storage module comprise an author, a periodical, a reviewer and a referrer, and the paper data storage module is used for storing the whole process information of each paper from writing, contribution, review, publication, citation and feedback;
the paper grading sharing module divides each paper into different grades through mutual evaluation among the same lines, influence factors of periodicals and papers, citation times and other factors;
the intelligent recommendation module is used for constructing an intelligent recommendation system by using keywords and citation documents generated in the writing process of the papers, recommending reference documents, referred documents and papers with high similarity;
the thesis feedback evaluation module is combined with factors such as academic researchers can score among the same lines according to the content of the thesis and influence factors of journals where the thesis is located, and the influence factors of each academic thesis are determined.
On the basis of the scheme, the system takes an author, a periodical, a reviewer, a referrer and a supervision mechanism as nodes.
On the basis of the scheme, the thesis data storage module stores information including author information, journal basic information, reviewer basic information and citation person information.
On the basis of the scheme, the thesis data storage module also comprises experimental data of the thesis, the experimental data are collected in real time in a sensor, a camera, screen recording software and other modes, the experimental original data are recorded in the cloud, and the Hash value of the experimental original data is recorded on a bottom platform of the block chain.
On the basis of the scheme, the intelligent recommending module recommends a better purchasing approach through experimental instruments and experimental consumables related in the paper.
The invention has the beneficial effects that:
the invention utilizes the block chain technology to ensure that the whole life cycle of writing-contribution-review-publication-citation-feedback of each paper is open and transparent. The experimental data of the thesis are public, transparent, credible and traceable, and the counterfeiting of academic achievements can be effectively avoided; the paper submission process is transparent, and the phenomenon of one manuscript and multiple submissions is avoided; by using the intelligent recommendation system, papers with high relevancy can be pushed according to reference documents and keywords; recommending experimental instruments and experimental consumables according to the content in the thesis, and reducing the query time of other researchers; the paper feedback evaluation module is utilized to refine evaluation granularity, each paper has own influence factor, and academic counterfeiters are subjected to whole-network disclosure, so that cheating cost is increased.
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FIG. 1 is a system for indexing articles based on blockchain technology;
FIG. 2 is a flow chart of a paper indexing system using a block chain technique.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings in the embodiment of the invention.
A thesis indexing system based on a block chain technology takes an information distributed storage, non-tampering, traceable and excitable block chain platform as a bottom layer architecture, and takes authors, periodicals, reviewers, quotation persons and supervision agencies (such as the national intellectual property office) as nodes. The block chain platform of the system is connected with four main functional modules, including a thesis data storage module, a thesis grading sharing module, an intelligent recommendation module and a thesis feedback evaluation module.
The paper data storage module comprises data sources including authors, periodicals, reviewers and quotation persons; the module is used for storing the whole process information of each paper from writing-submission-publication-citation-feedback, and comprises author information (information such as name, contact way, research direction, subject support and experimental data), basic journal information (information such as journal name, host unit, publication period, journal influence and journal grade), basic journal reader information (information such as work experience and research direction of a reviewer) and citation person information (information such as paper name, publication journal and paper evaluation). If for the paper needing the experiment, experimental data are collected in real time through a sensor, a camera, screen recording software and the like, experimental original data are recorded in the cloud, a hash value of the experimental original data is recorded on a bottom platform of a block chain, and the cost of academic counterfeiting is increased from the source.
And the paper grading and sharing module divides each paper into different grades through mutual evaluation between the same lines, influence factors of periodicals and papers, citation times and other factors. Subsequent researchers to the papers with the lowest evaluation grade can download the papers free of charge and charge copyright fees with different amounts along with the gradual increase of the grade. By setting charging modes of different levels, the influence of the platform is improved while the rights and interests of consumers are guaranteed, and the healthy development of the platform is promoted.
The intelligent recommendation module can utilize keywords and cited documents generated in the writing process of the papers to construct an intelligent recommendation system, and recommend reference documents, referred documents and papers with high similarity. Preferred purchase routes are recommended by the laboratory instruments and laboratory consumables referred to in the paper. By constructing the intelligent recommendation system, follow-up researchers can be more conveniently served, the latest research results of the research industry can be known, and the time cost can be reduced.
And a thesis feedback evaluation module, which enables academic researchers to score, comment and forward one key among the same lines according to the content of the thesis. And determining the influence factor of each academic paper by combining the influence factors of the journal in which the paper is located and the like. In the platform, academic viewpoints and research methods can be discussed among the same lines in modes of comments, postings and the like, and the development of the whole industry is promoted. Meanwhile, a large amount of paper data accumulated by the platform are used for carrying out free duplicate checking on new papers, public network publicity is carried out on papers with academic counterfeiting, and corresponding punishment measures are carried out by superior administrative departments.
The paper retrieval service steps are as follows:
and (2) system construction, wherein the node type and the node number in each organization are reasonably set according to the number of nodes in the alliance, in order to ensure the normal operation of the whole alliance, at least 12 servers of the Ubuntu16.04 operating system construct a Hyperedgerfibric block chain network and configure an operating environment to provide service for the whole system. And compiling chain codes by using Go SDK to realize the functional requirements of a thesis data storage module, a thesis grading sharing module, an intelligent recommendation module and a thesis feedback evaluation module. And reasonably distributing the authority corresponding to the nodes in the block chain according to the work functions of the entity nodes, and completing the installation and instantiation of the intelligent contract on the nodes needing to run the intelligent contract, thereby ensuring the realization of business logic.
Each paper is given a full chain unique ID number, which is a unique identifier that distinguishes different papers. For papers needing experiment support, researchers need to record original data of an experiment process in forms, screen recording, camera shooting and the like. The original experimental data are stored in a cloud end through symmetric encryption, the Hash value of the original experimental data is recorded on a block chain, and if the original experimental data are suspected to be fake due to the fact that students can call the original experimental data to perform Hash again on the data in the block chain to compare and verify the accuracy of the data.
In order to facilitate the use of the author, the author can register an account through Dapp or a Web end after completing the paper manuscript. And logging in a contribution interface by using the account number. The author needs to fill in basic information of the author (information of name, contact information, research direction and the like) basic information of the paper (information of the paper name, abstract, subject support, all instruments and consumables of the experiment, Hash value of experiment data and the like).
After the submitted journal accepts the papers, the basic information of the reviewer (the information of the work experience, the research direction and the like of the reviewer) and the paper modification process are carried out uplink storage. Before the papers are issued, the papers are checked for duplication by using the papers data accumulated by the system. After the papers are published, the papers are graded by an initial impact factor according to the information such as the impact factor of the journal published by the papers.
After the papers are published, the full texts of the papers which are downloaded freely can be viewed online; for papers needing paid purchase, scoring and evaluation between the abstract and the peer can be viewed free of charge. When the papers are downloaded, the papers with higher similarity are recommended according to the keywords, the reference documents and other information of the papers. If the paper relates to an experiment, the experimental apparatus and experimental consumables used in the paper are recommended to be referred by subsequent researchers. When the paper is downloaded, evaluated or quoted, the influence factor of the paper is correspondingly improved, and in order to encourage mutual evaluation among the peers to obtain a certain reward of points for the reviewer, the points can offset the copyright cost of the paper.
When a paper author has a academic counterfeiting event, the related paper is identified by using the label, and the paper index link is invalid, so that the related paper cannot be searched and downloaded in the index system. The academic unbearable behaviors can be broadcasted in the system, the cheating cost is increased, and the academic healthy development is promoted.
The invention designs a thesis grading sharing module, and on the premise of ensuring the obtained and downloadable thesis, each thesis is provided with a self influence factor through factors such as evaluation, reference times and the like among the same lines. And realizing precise paper pricing according to the influence factors of the paper, and ensuring the rights and interests of consumers.
The invention designs a paper recommendation system, recommends papers with high similarity according to the information of keywords, reference documents and the like of the papers, and saves the time for subsequent researchers to search, download and learn. According to the thesis experiment information filled in the thesis submission process, when experimental instruments and experimental consumables are involved, the system can recommend the corresponding experimental equipment model and follow-up researchers of manufacturers to refer to.
The invention designs a thesis feedback evaluation module, and comments and scores can be published among peers. The research directions can be mutually exchanged between the same lines through the platform, the research thought is widened, the mutual enlightening is realized, and the industrial development is promoted. And determining the influence factor of the paper by using the comment and the score between the same lines, the influence factor of the publication journal of the paper and other factors. By designing the one-key forwarding function, the paper content can be rapidly shared through social software, and a user who purchases a copyright can forward the full text of the paper for three times in free. Over three times, the receiver can see the paper evaluation, scoring and summary.
It will be appreciated that although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A thesis indexing system based on a block chain technology is characterized in that an information distributed storage, non-tampering, traceable and excitable block chain platform is used as a bottom layer framework, and the block chain platform of the system is connected with four functional modules, wherein the functional modules comprise a thesis data storage module, a thesis hierarchical sharing module, an intelligent recommendation module and a thesis feedback evaluation module;
the system comprises a paper data storage module, a document editing module and a document editing module, wherein the data sources of the paper data storage module comprise an author, a periodical, a reviewer and a referrer, and the paper data storage module is used for storing the whole process information of each paper from writing, contribution, review, publication, citation and feedback;
the paper grading sharing module divides each paper into different grades through mutual evaluation among the same lines, influence factors of periodicals and papers, citation times and other factors;
the intelligent recommendation module is used for constructing an intelligent recommendation system by using keywords and citation documents generated in the writing process of the papers, recommending reference documents, referred documents and papers with high similarity;
the thesis feedback evaluation module is combined with factors such as academic researchers can score among the same lines according to the content of the thesis and influence factors of journals where the thesis is located, and the influence factors of each academic thesis are determined.
2. A system for indexing a thesis based on block chain technology as claimed in claim 1, wherein the system includes an author, a periodical, a reviewer, a referrer, and a regulatory agency as nodes.
3. A system for indexing a thesis based on block chain technology as claimed in claim 1, wherein said thesis data storage module stores information including author information, basic journal information, basic reviewer information, and citation person information.
4. A thesis indexing system based on a blockchain technique as claimed in claim 1, wherein the information stored in the thesis data storage module further includes experimental data of a thesis, the experimental data is collected in real time through a sensor, a camera, screen recording software and the like, the experimental raw data is recorded in a cloud, and a hash value of the experimental raw data is recorded on a blockchain bottom platform.
5. The system of claim 1, wherein the intelligent recommendation module recommends a preferred purchase path through laboratory instruments and laboratory consumables involved in the papers.
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| CN112967074A (en) * | 2021-03-29 | 2021-06-15 | 北京工商大学 | Block chain driven rice supply chain information supervision model construction method |
| CN113904822A (en) * | 2021-09-28 | 2022-01-07 | 则正(上海)生物科技有限公司 | Laboratory management system based on block chain |
| CN115423418A (en) * | 2022-07-04 | 2022-12-02 | 北京交通大学 | Thesis review method based on block chain |
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