CN102609546A - Method and system for excavating information of academic journal paper authors - Google Patents

Abstract

The invention discloses a method and a system for excavating information of academic journal paper authors. The method comprises the steps: firstly selecting an objective subject field and establishing an OWL (Web Ontology Language) field ontology; secondly extracting author information from an academic journal paper of the objective subject field; thirdly performing the format conversion to the extracted author information, storing the information into an author information bank and calculating out the unique author ID (Identity); finally obtaining an incidence matrix of an author and an academic paper, an academic developing route chart of the author, a cooperator network diagram of the author, an academic cooperation distances among authors, a hot spot research direction map and an academic reputation map of the author by above information. According to the invention, the data source of the author information excavating method is changed; the OWL filed ontology technology is introduced into calculation processes of the academic cooperation distances among authors and the hot spot research direction; and the semantic calculation effect is improved.

Description

A kind of academic journal paper author information method for digging and system

Technical field

The present invention relates to the knowledge engineering field, be specifically related to a kind of academic journal paper author information method for digging and system.

Background technology

Academic journal paper author information is meant the essential informations such as author's name, sex, year of birth, native place, academic title and research direction that provide in the scientific paper that formally is published on the periodical; Generally appear at the footnote or the last endnote position of paper of paper homepage, as shown in Figure 1.With respect to books, author information has brief, the characteristics such as form is fixed, word standard of content in the academic journal paper.

The analysis of the quantitative relation between author and the document is meant that the science yield-power of describing the author is the purpose information analysis method to disclose the relation between author and the quantity of document.Aspect the analysis of the quantitative relation between author and document; More representational is that Lotka's law (Lotka ' s Law)---the relation of author's quantity and paper quantity is followed a kind of square inverse ratio law; That is: F (x)=C/x2; The author that wherein x, F (x), C represent the paper number respectively, write x piece of writing paper accounts for the ratio and the constant of author's sum.On the basis of Lotka's law, scholars such as Fei Laqi have proposed to influence two factors that Luo Teka distributes: the one, and residing epoch of researcher or environment directly affect result of study; The 2nd, the author's quantity in the statistical sample is relevant with result of study.The advantage of the quantitative relation analysis between author and the document is the relation that has disclosed preferably between author's frequency and the paper quantity, and shortcoming is not analyze other information of author, comprises information such as year of birth, native place, academic title, research direction.

Price utilizes the distribution of every author's cooperation quantity to study collaborative problem, has drawn following equation:

$\underset{m=1}{\overset{I}{\mathrm{\Σ}}}n\left(x\right)=\sqrt{N}$

Wherein author's number of x paper is write in n (x) expression; I=nmax is high yield author's in this field a paper sum; N is whole authors' a sum.M＝0.749(nmax)0.5。On the research basis of Price, scholars have proposed the computing formula of cooperation degree, cooperative rate, and are specific as follows:

Although said method each has the relative merits of himself; And the successfully case of utilization is arranged under each comfortable condition of different; But they can't satisfy the special requirement of scientific paper author profile information excavating: at first, the content of the author profile's information in the academic journal paper has singularity.Secondly, the position of the author profile's information in the academic journal paper has singularity.Once more, the form of the author profile's information in the academic journal paper has singularity.At last, the word of the author profile's information in the academic journal paper has singularity.

Summary of the invention

To the problems referred to above that exist in the prior art, the invention provides a kind of academic journal paper author information method for digging and system.

The invention provides a kind of academic journal paper author information method for digging, comprising:

Step 1, the select target ambit is set up the OWL domain body;

Step 2 extracts author information the academic journal paper in the target ambit;

Step 3 is carried out format conversion to the author information that extracts, and is deposited in the author information storehouse, and calculates unique author ID;

Step 4 is calculated author and scientific paper incidence matrix according to author ID and paper ID;

Step 5 is calculated the author in publish thesis absolute quantity and generate the academic growth route map of author of the accumulative total of same research direction according to author and scientific paper incidence matrix, research direction and time;

Step 6 obtains author's partner networks figure according to author and scientific paper incidence matrix;

Step 7 is calculated the scientific cooperation distance between the author according to author's partner networks figure;

Step 8 generates hot research direction map according to OWL domain body, author ID, research direction and focus degree thereof;

Step 9, author's acientific reputation map generation module is used for generating author's acientific reputation map according to author ID and author's partner networks figure.

In one example, in the step 1, the OWL domain body comprises inheritance, identity relation and the set operation relation between the field term.

In one example, in the step 2, author information comprises author's name, sex, year of birth, native place, academic title, research direction, paper title, periodical title, delivers time and author unit one belongs to; In the step 3, unique author ID comprises author's name, year of birth, sex, native place, unit one belongs to's title and random code.

In one example, in the step 4, author and scientific paper incidence matrix S _{M * n}=(s _Ij) _{M * n}, wherein i and j are respectively paper ID and author ID, and m and n represent paper record and author's number, s respectively _IjRepresent author's weight, the computing formula of author's weight is following:

$S(i,j)\text{=}\left\{\begin{array}{cc}0& n=0\\ \frac{1}{n}& n>0\end{array}\right.,$ Wherein, S (i j) is the author weight of i author in j piece of writing paper, and n is the rank order of i author in j piece of writing paper, n=1, and 2,3 ..., N.

In one example, in the step 5, the publish thesis computing formula of absolute quantity y of i the accumulation of author on research direction z is following:

wherein N is the paper sum that i author delivers on research direction z; S (i; J z) is the author weight of i author in j piece of writing paper; Exist inheritance, identity relation or set operation relation then to be judged to be same research direction between two research directions.

In one example, in the step 6, author's cooperative network figure comprises that the author gathers and paper set, and the author is a node, and paper is a tie, and the weighted value computing method between two nodes are following:

D(i，j，k)＝|S(i，k)-S(j，k)|；

Wherein, D (i, j k) are the poor of i author and the weight of j author in k piece of writing paper, W (i, k) and W (j k) is respectively i author and the weight of j author in k piece of writing paper.

In one example, in the step 7, the computing formula of the scientific cooperation distance between the author is following:

$L(i,j)={\mathrm{\Σ}}_{k=0}^N(k\×S(k,k+1)),$ Wherein L (i j) is scientific cooperation distance between the corresponding author of node i and node j, the intermediate node of k on shortest path between node i and the node j, existing among author's cooperative network figure, N is the number of intermediate node.

In one example, generate hot research direction map according to following formula:

$H\left(i\right)=\mathrm{\π}\×{\left({\mathrm{\Σ}}_{k=0}^n(H\left(k\right)\×D(i,k)\right)}^2,$ Wherein n is author's number of being engaged in the subclass research direction of i research direction; (H (k) is the focus degree of the research direction of k sub-category; (on behalf of the middle junction on the shortest path between research direction i and the research direction k, i k) count to D, and H (0) represents the relative author's number on i the research direction; D (i, 0)=1; The research direction that leaf node in the OWL body is corresponding is the subclass research direction.

In one example, author's acientific reputation map is blazer's node with first author, is the digraph of recipient's node with co-worker; " computing method of author's acientific reputation are following:

$I\left(i\right)=\left({\mathrm{\Σ}}_{k=0}^n(I\left(k\right)\×D(i,k))\right);$

Wherein, I (i) is i author's a popularity, and n is i author's a cooperation author number; K is i author's k co-worker, and (i k) is distance between i author and k the author to D; I (0) representative and i the direct cooperation number of author, and D (0, k)=1.

The invention provides the realization system for carrying out said process, comprise that ETL module, domain body, unique identification module, author and scientific paper incidence matrix computing module, the academic growth route map of author generation module, author's cooperative network figure generation module, scientific cooperation are apart from generation module, hot research direction map generation module and author's acientific reputation map generation module;

The ETL module, the academic journal paper that is used in the target ambit extracts author information, and the author information that extracts is carried out format conversion and deposits in the author information storehouse;

Domain body is by being set up the OWL domain body according to selected target ambit;

The unique identification module is used to calculate unique author ID;

Author and scientific paper incidence matrix computing module are used for calculating author and scientific paper incidence matrix according to author ID and paper ID;

The academic growth route map of author generation module is used for calculating the author in publish thesis absolute quantity and generate author's science growth route map of the accumulative total of same research direction according to author and scientific paper incidence matrix, research direction and time;

Author's cooperative network figure generation module is used for obtaining according to author and scientific paper incidence matrix author's partner networks figure;

Scientific cooperation is used for calculating the scientific cooperation distance between the author according to author's partner networks figure apart from generation module;

Hot research direction map generation module is used for generating hot research direction map based on OWL domain body, author ID, research direction and focus degree thereof;

Author's acientific reputation map generation module is used for generating author's acientific reputation map according to author ID and author's partner networks figure.

To sum up; The major advantage of this method is: 1) break through traditional literature metering and information metering method to the not enough phenomenon of the attention of author profile's information; Propose a kind of author profile's in the science opinion information mining method, changed the Data Source of author information method for digging.2) in the computation process of author's scientific cooperation distance, hot research direction, introduce OWL domain body technology, improved semantic calculating effect.3) propose the grow up computing method of route, scientific cooperation distance, focus direction of author's unique identification sign indicating number, scholar based on author profile's information, expanded the research visual angle that author information excavates.Therefore, compare with the information metering method with aforesaid document metering, this method can satisfy the needs that the scientific paper author information excavates better.

Description of drawings

Come the present invention is done further explain below in conjunction with accompanying drawing, wherein:

Fig. 1 is the author profile's information synoptic diagram in the scientific paper according to the invention;

Fig. 2 is that scientific paper author information according to the invention excavates the basic step synoptic diagram;

Fig. 3 is the E-R figure of scientific paper author information digging system according to the invention;

Fig. 4 is " author and scientific paper incidence matrix " according to the invention synoptic diagram;

Fig. 5 is " the academic growth route map of author " according to the invention synoptic diagram;

Fig. 6 is " author's cooperative network figure " according to the invention synoptic diagram;

Fig. 7 is " author's scientific cooperation distance matrix " according to the invention synoptic diagram;

Fig. 8 is " hot research direction map " according to the invention synoptic diagram;

Fig. 9 is the synoptic diagram of " author's acientific reputation map " according to the invention;

Figure 10 is the synoptic diagram of " scientific paper author information digging system " according to the invention.

Embodiment

It is as shown in Figure 2 to the present invention proposes academic journal paper author profile information mining method, and this method comprises the steps:

Step (1) is selected specific ambit according to demand, adopts the OWL technology to set up domain body.When making up domain body, need consider term corresponding and mutual relationship thereof with this area research direction.The succession of the formalization representation of domain body between must type of indicating (or attribute), be equal to, cross reference, attribute and type between affiliated relation, class and instance between between corresponding relation, attribute transmission, symmetry, function and inverse function relation, type gather operation relation.

Step (2) extracts author profile's information from specific area academic journal paper, comprise author's name, sex, year of birth, native place, academic title, research direction, paper title, periodical title, deliver time, author unit one belongs to.The extraction position of different information maybe be different.Information such as author's name, sex, year of birth, native place, academic title, research direction partly extract from the author profile of scientific paper; Paper title, periodical title, deliver time and author unit one belongs to and extract from the position of correspondence respectively.

Step (3) is carried out format conversion to the author profile's information that extracts, and is deposited in the author information storehouse.Design one or more information tables, be used to deposit author information; Author's name after the extraction, sex, native place, academic title, research direction, paper title, periodical title, author unit one belongs to convert character string type into; Year of birth after the extraction converts date type into the time of delivering; After the format conversion, author information is put into corresponding information table.

Step (4) is calculated author's unique identification sign indicating number, discerns same author and distinguishes different authors.Through calculating name, year of birth, sex, native place, academic title, research direction, author unit one belongs to are carried out function calculation, draw each author's unique identification sign indicating number; Unique identification is deposited in the author information table.

Step (5) is that row, author ID are row with paper ID, calculates " author and scientific paper incidence matrix ", i.e. S _{M * n}=(s _Ij) _{M * n}, wherein i and j are respectively paper ID and author ID, and m and n represent paper record and author's number, s respectively _IjRepresentative " author's weight "." author's weight " s _IjBy the rank order decision of author in corresponding scientific paper.In the following content, except spelling out, the author who when calculating, mentions is author ID.

Step (6), according to " author and scientific paper incidence matrix ", the x axle is the time, the y axle is " accumulation publish thesis absolute quantity " of i author on research direction z, adopts function y=f _Subj(x, z i) generate " the academic growth route map of author "." accumulation publish thesis absolute quantity " on the research direction z determined by the author's rank order in publish thesis quantity and the paper.Judge whether for the method for same research direction following: at first, the research direction when from database, reading paper publishing, and shine upon with field OWL body; Secondly, judge whether have succession (< rdfs:subclassOf >) between the research direction, be equal to (< owl:equivalentClass >), set operation (< owl:disjointWith >, < owl:unionOf >, < owl:intersectionOf >, < owl:complementOf >) or instance concern (< rdf:Description >, < rdf:type >); At last,, then think same research direction, otherwise think different research direction if exist with co-relation.

Step (7) generates in " author's cooperative network figure "." author's cooperative network figure " is to be actor's node with author, and paper is the weighted graph of tie.Therefore, " author's cooperative network figure " comprises two groups of information: one group is that the author gathers N={n ₁, n ₂... .n _N, wherein N is author's number; Another group is paper set L={l ₁, l ₂...., l _n, wherein L is the paper number.The weighted value of each tie among author's cooperative network figure is by the absolute value decision of the difference of the weight of author in the paper of tie representative of two node representatives.

Step (8) is calculated " author's scientific cooperation distance " between the author.Be the basis with " author's cooperative network figure ", calculate the scientific cooperation distance value between the author, and generation " author's scientific cooperation distance matrix ".Scientific cooperation distance value between the author is by node number on the shortest path that connects the author and the decision of the weight on the limit.

Step (9) generates by " hot research direction map ".Being the basis with the OWL domain body, is that node, research direction are tie with researcher, generates by " hot research direction map "., " the focus degree of research direction " by two variablees decisions: the one, be engaged in author's number of this research direction, subclass research direction; The 2nd, the distance between the research direction of subclass research direction and node representative.The method of judging same research direction, its subclass direction is after research method is mapped to the OWL domain body, whether has < rdfs:subclassOf>or < owl:equivalentClass>in the domain body.

Step (10) is calculated author's acientific reputation.With first author is blazer's node, and other cooperations author in the same piece of writing paper is recipient's node, generates by " author's acientific reputation map ".Author's acientific reputation value is by author's quantity of directly cooperating with this author and each co-worker's popularity decision.

Below in conjunction with accompanying drawing and instance, specific embodiments of the invention is done further explain.Following instance is used to explain the present invention, but is not used for limiting scope of the present invention.

As shown in Figure 2, the excavation of scientific paper author information needs the support of OWL domain body technology.Therefore, before analyzing the scientific paper author information, need to prepare domain body.When making up the OWL domain body, adopt that mark < rdfs:subclassOf >, < owl:equivalentClass >, < owl:disjointWith>identifys succession between the class respectively, are equal to, cross reference; Adopt mark < rdfs:subPropertyOf >, < owl:equivalentProperty >, < owl:inverseOf>succession between the representation attribute respectively, be equal to, reciprocal relation; Adopt relation between mark < rdfs:domain >, < rdfs:range>difference representation attribute and the class; Adopt between mark < rdf:Description >, < rdf:type>representation class and the instance and concern; Adopt mark owl:TransitiveProperty, owl:SymmetricProperty, owl:FunctionalProperty and the owl:InverseFunctionalProperty transmission between representation attribute respectively, symmetry, function and inverse function relation; Adopt mark < owl:unionOf >, < owl:intersectionOf >, < owl:complementOf>expression set operation relation.

As shown in Figure 3, extract and conversion after author's name, sex, year of birth, native place, academic title, research direction, paper title, periodical title, deliver the time, author unit one belongs to information deposits in respectively in ten relation tables such as author's table, paper table, paper and author's table of comparisons, academic title's table, author and academic title's table of comparisons, department table, author and department's table of comparisons, research direction table, author and the research direction table of comparisons, periodical table.The pattern of above-mentioned ten relation tables is respectively: author (author ID, author's name, date of birth, native place), paper (paper ID; Thesis topic, periodical ID, date issued), author and the paper table of comparisons (author ID, paper ID, author's rank), academic title (academic title ID; Academic title's title), author and academic title's table of comparisons (academic title ID, author ID, paper ID), department (ID of department, department name; City, place, postcode), author and department's table of comparisons (author ID, the ID of department, paper ID), research direction (research direction ID; The research direction title, paper ID, author ID; Body URI), the author and the research direction table of comparisons (research direction ID, author ID, paper ID), periodical table (periodical title, ISBN, establishment date).

Author's unique identification sign indicating number is by name, year of birth, sex, native place, unit one belongs to's name character string decision, and concrete computing formula is following:

AID (i)=StrConn (NameStr (N (i)); BirthStr (Y (i)), SexStr (S (i)), AffStr (A (i)); Ram (i)); Wherein AID (i) is i author's a unique identification sign indicating number, and N (i), Y (i), S (i), A (i) represent i author's name, year of birth, sex, native place and unit one belongs to's title respectively, and function NameStr (), BirthStr (), SexStr (), AffStr () are respectively the hash function of author's name, date of birth, sex and unit one belongs to; Ram () is five random codes, is used to the author of the same name who distinguishes in same unit.

As shown in Figure 4, be that row, author ID are row with paper ID, calculate " author and scientific paper incidence matrix ", i.e. S _{M * n}=(s _Ij) _{M * n}, wherein i and j are respectively paper ID and author ID, and m and n represent paper record and author's number, s respectively _IjRepresentative " author's weight "." author's weight " s _IjBy the rank order decision of author in corresponding scientific paper.The concrete computing formula of " author's weight " is following:

$S(i,j)\text{=}\left\{\begin{array}{cc}0& n=0\\ \frac{1}{n}& n>0\end{array}\right.$ (wherein, S (i j) is the author weight of i author in j piece of writing paper, and n is the rank order of i author in j piece of writing paper, n=1, and 2,3 ..., N).

As shown in Figure 5, " author academic growth route map " is two-dimensional curve figure, and the x axle is the time, and the y axle is " accumulation publish thesis absolute quantity " of i author on research direction z, employing function y=f _Subj(x, z i) generate " the academic growth route map of author " automatically." the publish thesis concrete computing formula of absolute quantity y of i the accumulation of author on research direction z is following:

$y=f_{\mathrm{Subj}}(x,z,i)={\mathrm{\&Sigma;}}_{j=0}^{N}S(i,j,z),$ Wherein N is the paper sum that i author delivers on research direction z, and (i, j z) are " the author weight " of i author in j piece of writing paper to S.Wherein, judge whether that the method for same research direction is following: at first, the research direction when from database, reading paper publishing, and shine upon with field OWL body; Secondly, judge whether have succession (< rdfs:subclassOf >) between the research direction, be equal to (< owl:equivalentClass >), set operation (< owl:disjointWith >, < owl:unionOf >, < owl:intersectionOf >, < owl:complementOf >) or instance concern (< rdf:Description >, < rdf:type >); At last,, then think same research direction, otherwise think different research direction if exist with co-relation.

As shown in Figure 6, " author's cooperative network figure " is to be actor's node with author, and paper is the weighted graph of tie." author's cooperative network figure " comprises two groups of information: one group is that the author gathers N={n ₁, n ₂... .n _N, wherein N is author's number; Another group is paper set L={l ₁, l ₂...., l _n, wherein L is the paper number.Flexible strategy in this weighted graph are the absolute value of difference of the weight of author in the paper of tie representative of two nodes representative, and computing method are following:

D(i，j，k)＝|S(i，k)-S(j，k)|

Wherein, D (i, j k) are the poor of i author and the weight of j author in k piece of writing paper, W (i, k) and W (j k) is respectively i author and the weight of j author in k piece of writing paper.

As shown in Figure 7, the row and column of " author's scientific cooperation distance matrix " is author ID, and element value is the scientific cooperation distance value.Scientific cooperation distance value between the author is by node number on the shortest path that connects the author and the decision of the weight on the limit.The formula that calculates the scientific cooperation distance between the author is following:

$L(i,j)={\mathrm{\&Sigma;}}_{k=0}^N(k\&times;S(k,k+1)),$ Wherein k is the intermediate node that on shortest path between node i and the j, exists, and N is the number of intermediate node.

As shown in Figure 8; " hot research direction map " is to be the basis with the OWL domain body; Research direction is a node, and the semantic relation between the research direction is a tie, and " the focus degree of research direction " determined by two variablees: the one, be engaged in author's number of this research direction, subclass research direction; The 2nd, the distance between the research direction of subclass research direction and node representative.On the basis of calculating the focus degree,, generate hot research direction map with the independent variable of focus degree as node area sizes values.The computing method of the focus degree of research direction are following:

$H\left(i\right)=\mathrm{\&pi;}\&times;{\left({\mathrm{\&Sigma;}}_{k=0}^n(H\left(k\right)\&times;D(i,k)\right)}^2,$ Wherein n is author's number of being engaged in the subclass research direction of i research direction; H (k) is k sub-category " the focus degree of research direction "; (on behalf of the middle junction on the shortest path between research direction i and the research direction k, i k) count to D, and H (0) represents i the author's number on the research direction; And D (i, 0)=1.Judge whether with the method for subclass research direction following: at first, the research direction when from database, reading paper publishing, and shine upon with field OWL body; Secondly, judge whether there is succession (< rdfs:subclassOf >) between the research direction; Once more,, then think the subclass research direction, otherwise think and be not subclass relation if there is inheritance; Then, if there is the subclass research direction, judge further whether the subclass research direction also exists littler subclass direction.And the like, till the corresponding research direction of the leaf node in the OWL body.

As shown in Figure 9, " author's acientific reputation map " is to be blazer's node with first author, and other co-workers are the digraph of recipient's node." author's popularity " by author's quantity of directly cooperating with this author and each co-worker's popularity decision, concrete computing method are following:

$I\left(i\right)={\mathrm{\&Sigma;}}_{k=0}^n(I\left(k\right)\&times;D(i,k))$

Wherein, I (i) is i author's a popularity, and n is i author's a cooperation author number, and k is i author's k co-worker, and (i k) is distance between i author and k the author to D.I (0) representative and i the direct cooperation number of author, and D (0, k)=1.

System of the present invention is shown in figure 10, comprises that ETL module, domain body, unique identification module, author and scientific paper incidence matrix computing module, the academic growth route map of author generation module, author's cooperative network figure generation module, scientific cooperation are apart from generation module, hot research direction map generation module and author's acientific reputation map generation module;

Data extract, conversion and loading (ETL) module, the academic journal paper that is used in the target ambit extracts author information, and the author information that extracts is carried out format conversion and deposits in the author information storehouse;

Domain body is by being set up the OWL domain body according to selected target ambit;

The unique identification module is used to calculate unique author ID;

Author and scientific paper incidence matrix computing module are used for calculating author and scientific paper incidence matrix according to author ID and paper ID;

The academic growth route map of author generation module is used for calculating the author in publish thesis absolute quantity and generate author's science growth route map of the accumulative total of same research direction according to author and scientific paper incidence matrix, research direction and time;

Author's cooperative network figure generation module is used for obtaining according to author and scientific paper incidence matrix author's partner networks figure;

Scientific cooperation is used for calculating the scientific cooperation distance between the author according to author's partner networks figure apart from generation module;

Hot research direction map generation module is used for generating hot research direction map based on OWL domain body, author ID, research direction and focus degree thereof;

Author's acientific reputation map generation module is used for generating author's acientific reputation map according to author ID and author's partner networks figure.

The above is merely preferred implementation of the present invention, but protection domain of the present invention is not limited thereto.Any those skilled in the art all can carry out suitable change or variation to it in technical scope disclosed by the invention, and this change or variation all should be encompassed within protection scope of the present invention.

Claims (10)

1. an academic journal paper author information method for digging is characterized in that, comprising:

Step 1, the select target ambit is set up the OWL domain body;

Step 2 extracts author information the academic journal paper in the target ambit;

Step 3 is carried out format conversion to the author information that extracts, and is deposited in the author information storehouse, and calculates unique author ID;

Step 4 is calculated author and scientific paper incidence matrix according to author ID and paper ID;

Step 5 is calculated the author in publish thesis absolute quantity and generate the academic growth route map of author of the accumulative total of same research direction according to author and scientific paper incidence matrix, research direction and time;

Step 6 obtains author's partner networks figure according to author and scientific paper incidence matrix;

Step 7 is calculated the scientific cooperation distance between the author according to author's partner networks figure;

Step 8 generates hot research direction map according to OWL domain body, author ID and research direction;

Step 9 generates author's acientific reputation map according to author ID and author's partner networks figure.

2. the method for claim 1 is characterized in that, in the step 1, the OWL domain body comprises inheritance, identity relation and the set operation relation between the field term.

3. method as claimed in claim 2 is characterized in that, in the step 2, author information comprises author's name, sex, year of birth, native place, academic title, research direction, paper title, periodical title, delivers time and author unit one belongs to; In the step 3, unique author ID comprises author's name, year of birth, sex, native place, unit one belongs to's title and random code.

4. method as claimed in claim 3 is characterized in that, in the step 4, and author and scientific paper incidence matrix S _{M * n}=(s _Ij) _{M * n}, wherein i and j are respectively paper ID and author ID, and m and n represent paper record and author's number, s respectively _IjRepresent author's weight, the computing formula of author's weight is following:

$S(i,j)\text{=}\left\{\begin{array}{cc}0& n=0\\ \frac{1}{n}& n>0\end{array}\right.,$ Wherein, S (i j) is the author weight of i author in j piece of writing paper, and n is the rank order of i author in j piece of writing paper, n=1, and 2,3 ..., N.

5. method as claimed in claim 4 is characterized in that, in the step 5, the publish thesis computing formula of absolute quantity y of i the accumulation of author on research direction z is following:

wherein N is the paper sum that i author delivers on research direction z; S (i; J z) is the author weight of i author in j piece of writing paper; Exist inheritance, identity relation or set operation relation then to be judged to be same research direction between two research directions.

6. method as claimed in claim 5 is characterized in that, in the step 6, author's cooperative network figure comprises that the author gathers and paper set, and the author is a node, and paper is a tie, and the weighted value computing method between two nodes are following:

D(i，j，k)＝|S(i，k)-S(j，k)|；

Wherein, D (i, j k) are the poor of i author and the weight of j author in k piece of writing paper, W (i, k) and W (j k) is respectively i author and the weight of j author in k piece of writing paper.

7. method as claimed in claim 6 is characterized in that, in the step 7, the computing formula of the scientific cooperation distance between the author is following:

$L(i,j)={\mathrm{\&Sigma;}}_{k=0}^N(k\&times;S(k,k+1)),$ Wherein L (i j) is scientific cooperation distance between the corresponding author of node i and node j, the intermediate node of k on shortest path between node i and the node j, existing among author's cooperative network figure, N is the number of intermediate node.

8. method as claimed in claim 7 is characterized in that, in the step 8, generates hot research direction map according to following formula:

$H\left(i\right)=\mathrm{\&pi;}\&times;{\left({\mathrm{\&Sigma;}}_{k=0}^n(H\left(k\right)\&times;D(i,k)\right)}^2,$ Wherein n is author's number of being engaged in the subclass research direction of i research direction; (H (k) is the focus degree of the research direction of k sub-category; (on behalf of the middle junction on the shortest path between research direction i and the research direction k, i k) count to D, and H (0) represents i the author's number on the research direction; D (i, 0)=1; The research direction that leaf node in the OWL body is corresponding is the subclass research direction.

9. method as claimed in claim 7 is characterized in that, author's acientific reputation map is blazer's node with first author, is the digraph of recipient's node with co-worker; " computing method of author's acientific reputation are following:

$I\left(i\right)=\left({\mathrm{\&Sigma;}}_{k=0}^n(I\left(k\right)\&times;D(i,k))\right);$

Wherein, I (i) is i author's a popularity, and n is i author's a cooperation author number; K is i author's k co-worker, and (i k) is distance between i author and k the author to D; I (0) representative and i the direct cooperation number of author, and D (0, k)=1.

10. the system of realization such as any described method of claim 1-9; It is characterized in that, comprise that ETL module, domain body, unique identification module, author and scientific paper incidence matrix computing module, the academic growth route map of author generation module, author's cooperative network figure generation module, scientific cooperation are apart from generation module, hot research direction map generation module and author's acientific reputation map generation module;

The ETL module, the academic journal paper that is used in the target ambit extracts author information, and the author information that extracts is carried out format conversion and deposits in the author information storehouse;

Domain body is by being set up the OWL domain body according to selected target ambit;

The unique identification module is used to calculate unique author ID;

Author and scientific paper incidence matrix computing module are used for calculating author and scientific paper incidence matrix according to author ID and paper ID;

The academic growth route map of author generation module is used for calculating the author in publish thesis absolute quantity and generate author's science growth route map of the accumulative total of same research direction according to author and scientific paper incidence matrix, research direction and time;

Author's cooperative network figure generation module is used for obtaining according to author and scientific paper incidence matrix author's partner networks figure;

Scientific cooperation is used for calculating the scientific cooperation distance between the author according to author's partner networks figure apart from generation module;

Hot research direction map generation module is used for generating hot research direction map according to OWL domain body, author ID, research direction and focus degree thereof;

Author's acientific reputation map generation module is used for generating author's acientific reputation map according to author ID and author's partner networks figure.

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