52 results about "Technical literature" patented technology

There is disclosed a technical information evaluating device for determining whether an objective technique such as of intangible assets of a target company is a new technology or not by making use of easily available technical literatures disclosing the technical information of the objective technique. The technical evaluating device of the invention makes it possible to adequately analyzing the value of the company to be researched by taking the value of the intangible property of the company into quantitative and qualitative consideration on the basis of the technical literatures. Similarity rates of the technical literatures, which provides an indication for making the analysis, can be obtained by acquiring keywords contained in the technical literatures to be researched, counting the number of technical literatures containing the prescribed keywords in a population of technical literatures, and calculating the proportion of the technical literatures containing the prescribed keywords to the total number of technical literatures in the population.

The invention discloses an academic influence cooperative sequencing method of nodes (papers, authors and periodicals/ conference) in a scientific and technical literature heterogeneous network. By aiming at the heterogeneity of the scientific and technical literature network, according to the method provided by the invention, two stages of random walk are adopted for calculating and sequencing the academic influence of the nodes in the scientific and technical literature, wherein the two stages of the random walk are respectively the random walk driven by the node network topology on the scientific and technical literature heterogeneous network and the random walk driven by the academic type in a minimum network mode of the scientific and technical literature network; the weight of each edge is calculated in the scientific and technical literature heterogeneous network for configuring the random walk driven by the node network topology; and according to the minimum network mode of the scientific and technical literature heterogeneous network, an average edge betweenness of various relation edges in different fields is counted, a propagation factor is calculated, and the rand walk driven by the node academic type is configured. The method provided by the invention solves the problems caused by the heterogeneity of the heterogeneous network and avoids phenomena of node influence and in-degree positive correlation, so that the sequencing result is relatively accurate.

The invention discloses a manufacturing method for a double-structure turbine disk, which is used for solving the technical problems of small grain sizes and small gradients of the conventional disk edges and disk hubs. The technical scheme comprises the following steps of: preparing a powder high-temperature alloy material; encapsulating; performing heat treatment before forging; performing near isothermal forging; performing fine grain heat treatment and gradient heat treatment; and manufacturing the double-structure turbine disk. Due to the heat treatment before forging, the turbine disk has ASTM 13 level of grain sizes, and the requirement on the fine grain sizes of disk center parts is met preferentially; and the grain sizes of the disk edges are obviously increased to the ASTM 3 level of grain sizes after the gradient heat aftertreatment, and the requirement on coarse grain sizes of the disk edge parts is met. Compared with the manufacturing method of the background technical literature 1, the manufacturing method has the advantages that a fine grain heat treatment process is added, the temperature gradients during the gradient heat treatment are increased, and the grain sizes and the gradients of the disk centers and the disk edges are obviously increased.

The invention provides a method for automatically evaluating scientific and technical literature novelty by utilizing a computer. The method comprises the following steps: A, detecting the novelty on the basis of document content ranking; B, detecting the novelty on the basis of document semantic comparison; C, detecting the novelty on the basis of key terms; E, detecting the novelty on the basis of numerical indexes; and E, respectively obtaining the novelty scores on the basis of the steps A to D, and calculating the total novelty score of the novelty search document by utilizing a regression model. By adopting the method provided by the invention, the automatic novelty search of scientific and technical literatures can be carried out on the basis of multi-dimensional novelty detection, so that the scientific and technical novelty search efficiency can be improved.

The invention discloses a nano bone repair material with biological activity and a preparation method thereof. The nano bone repair material with biological activity has controlled release effectiveness for bone inductive factors and belongs to the technical field of biomedical materials. The bone repair material with biological activity consists of nano-hydroxyapatite/ collagen composite nHAC, biodegradable polymer material polylactic acid PLA and chitosan controlled release microspheres for treating effective quantity of bone inductive factors. By adopting the method described in the patent claim 1 of physically mixing three materials and combining the three materials by supersonic dispersion technology, the bone repair material with biological activity is compounded and prepared. The invention is a novel bone which has excellent biocompatibility and biodegradability and better bone inductive property than bone inductive property reported in technical literature reports of the prior art, and is very hopeful to be widely used in clinic as the repair material of bone defects.

The invention discloses a coauthor recommending method under a scientific and technical literature heterogeneous network. Probability that a pair of authors establish a cooperation relationship in the future is in direct proportion to willingness that two nodes establish the cooperation relationship with each other, so that the coauthor recommending based on cooperator willingness is provided, and cooperating authors are recommended to authors by calculating probability that two authors cooperate in the future. The coauthor recommending method includes defining attention degree of the nodes according to future influence increase degree and rate of the nodes and ages of the nodes; designing cooperation willingness of two authors due to different relationships on the basis of the attention degree; designing topological feature attributes under different relationships on the basis of the willingness of different relationships; taking the topological feature attributes as an independent variable of a logic regression model, utilizing parameters of a real data training model, and using an acquired function model to calculate probability that the two authors cooperate in the future. The coauthor recommending method takes willingness of two authors which cooperate into consideration, and the willingness is based on node influence and age, so that prediction results of cooperation relationships are improved, and recommending quality of coauthors of authors is improved.

The invention discloses a method for automatically identifying document research on the basis of a text. The method is characterized in that: firstly, on the basis of a CRF (Conditional Random Field) model, modeling is carried out on a small quantity of labeled data; then, unlabeled data is predicted, and parts of data are selected from a majority of prediction labeling set as little as possible to carry out artificial labeling; then, a labeled result is added into original corpora to carry out modeling again, the process is subjected to proper iteration to obtain a final model, and the model can be used for extracting the research objects of scientific and technical literatures. The method comprises the following steps that: S1: obtaining a scientific and technical literature title, and carrying out primary labeling; S2: carrying out standardization processing on data; S3: carrying out model characterization extraction; S4: training the data; S5: extracting parts of unlabeled data, and carrying out labeling; and S6: estimating model accuracy. Artificial assessment is optimally imported into a machine learning model, the improvement effect of the machine learning model can be effectively improved and artificial labeling cost can be saved as far as possible.

This invention relates to providing automated support for the analysis of patents, patent applications and other texts, and more specifically, for supporting the analysis of claims in view of specifications, and for supporting claim analysis as compared to published texts that might constitute possible prior art or infringement of the patent.

• • Patent prosecution requires that the inventor, patent attorney, or patent agent carefully construct claims and specifications that delineate the invention according to well known principles of law. Patent licensing requires that documents describing products, services or methods which might infringe or invalidate a patent be organized in a clear style that can be presented to potential licensees. Patent litigation requires the analysis of patent claims against supporting statements in the patent specification, and against published technical literature which may or may not constitute prior art to the patent under analysis.
  • Present technology does not support automated assistance of these tasks due to the difficulty of processing natural language documents. The invention disclosed here describes methods, apparatus and systems for organizing patents and possible prior art documents in a manner that can be automated. The end result is a tool that ensures patent quality for prosecution, and which displays indefiniteness or incompleteness in patent specifications and prior art for inventors, patent examiners, evaluators, acquirers, licensors, licensees, prosecutors and litigators.

The invention discloses a scientific and technical literature importance degree evaluation method based on PageRank and time decay. Impact factors including a referenced scientific and technical literature, an author, a presentation meeting/periodical and the like jointly construct a link network of the scientific and technical literature, wherein the impact factors are associated with the scientific and technical literature. The scientific and technical literature importance degree evaluation method has the basic thought that a relational network, which is associated with the scientific and technical literature, of a meeting/ periodical-presentation year, presentation year-scientific and technical literature, scientific and technical literature-scientific and technical literature and scientific and technical literature-author is converted into a directed graph; then, the PageRank value of each node is calculated on the basis of the directed graph, the scientific and technical literature and a scientific and technical literature reference link are subjected to timed decay processing, wherein ''reference'' time and an authority score are in an inverse ratio; and finally, according to the obtained authority score, weighting processing is carried out to carry out authority value sorting on the scientific and technical literature so as to improve accuracy and reliability for calculating the authority value of the scientific and technical literature. When a user retrieves a target scientific and technical literature, the user can quickly find the most authoritative scientific and technical literature under a situation that an amount of search results is large.

The invention relates to a cross-language scientific and technical literature retrieval method and a cross-language scientific and technical literature retrieval system. The cross-language scientific and technical literature retrieval method includes establishing a scientific and technical literature ontology library for storing homogeneous keywords, scientific and technical literature information ontology links corresponding to the homogeneous keywords as well as original scientific and technical literature indexes pointing to the scientific and technical literature information ontology links, wherein the homogeneous keywords refer to a set of synonymous or near-synonymous Chinese keywords and English keywords; reading an index word inputted by a user, and searching the scientific and technical literature information ontology link corresponding to the homogeneous keywords matching with the index word from the scientific and technical literature ontology library; searching relevant literature according to the scientific and technical literature information ontology link corresponding to the homogeneous keywords and the original scientific and technical literature index pointing to the scientific and technical literature information ontology link, and displaying the literature to the user according to a preset sequence. The cross-language scientific and technical literature retrieval method is capable of improving scientific and technical literature retrieval precision.

The invention provides a knowledge graph construction method and system suitable for scientific and technological literature, a terminal and a medium. The knowledge graph construction method and system are used for constructing a corresponding knowledge graph suitable for the scientific and technological literature according to specific source data. The technical scheme provided by the invention has extremely high integrating degree with unstructured text characteristics of scientific and technical documents; The word segmentation unit is improved by combining words and manual verification, extraction of professional coincidence words in scientific and technical literatures is facilitated, a seed knowledge base is automatically extracted through encyclopedia, and therefore a large amount of cost for manually maintaining the seed knowledge base at the initial stage is saved.

The invention discloses a literature information common mode-based recommendation method, and aims at recommending interested scientific and technical literatures for users. The method specifically comprises the following steps of: obtaining a keyword mode of each literature by utilizing a clustering mechanism-based mode identification algorithm according to keyword information of the literatures; and recommending other literatures with a common mode to a user on the basis of the literature currently accessed by the user through the keyword mode of the literature. The method is a literature keyword common mode-based recommendation method; and according to the method, interested literatures can be recommended to users without the history behavior data of the users, so that the diversity of the recommendation results is improved.

The present invention discloses a PDF scientific and technical literature management system and its management method. Said system is formed from literature information data base, literature information log-in module, literature information editing module, literature information management module and literature information interaction module. Said method includes classification management of scientific and technical literature, recording reading state information, making literature information exchange and others.

A technical information evaluating device for judging whether or not a technical literature belongs to a new field on the basis of technical literatures easy to collect among intangible assets. A technique evaluating device is also disclosed for analyzing the value of a company accurately on the basis of technical literatures by obtaining data on the values of intangible properties of the company quantitatively or qualitatively. According to the invention, a keyword in a technical literature being searched is acquired, the number of technical literatures containing the keyword from the population of the technical literature being searched is counted, the ratio between the counted number of technical literatures and the total number of technical literatures in the population is calculated, and the similarity of the technical literature is calculated.

The invention discloses a method for comprehensively sorting scientific literature entities based on a connective network, which comprises the following steps: (1) constructing a literature correlation network according to relationship among the literature entities; (2) setting initial sorting values of nodes in the literature correlation network and expressing the initial sorting values of the nodes as vectors v; (3) constructing a correlation matrix A of the literature correlation network; (4) performing normalization of row vectors and normalization of column vectors to matrixes respectively and setting the obtained matrixes to a matrix B and a matrix C respectively; (5) calculating v' equal to B multiplied by (C plus H) multiplied by vT; (6) calculating v' equal to dv'a minus 1; then adding 1 minus d to each element in v' so as to obtain the vector v new, and expressing each component of the vector v new as the current sorting value; and (7) calculating an absolute value of difference between the current sorting value and the old sorting value of each node, and finding the maximum value thereof; if the maximum value is greater than a threshold value, transferring v equal to v new into 5 for continuous iteration; otherwise, expressing each component of the vector v new as a final sorting value of each node and finishing the operation. The comprehensive sorting method overcomes defects in the prior sorting method, sorts the entities in the literature field according to various relationships existing in the literature world; in addition, the experimental result in the literature indicates that the comprehensive sorting method in the literature is more accurate than the prior sorting method.

The invention discloses a scientific and technological literature picture extraction method based on a Fast-RCNN. The method comprises the following steps of 1) acquiring the scientific and technological literature data by using a web crawler and preprocessing the scientific and technological literature data; 2) dividing a data set, making a label for the data in the training set, and not processing the data in the test set; 3) inputting the data in the training set into a convolution layer, and extracting the feature mapping of the pictures; (4) mapping and inputting the obtained features into an RPN module to obtain the proposal feature maps with fixed sizes; 5) classifying the specific categories by utilizing the softmax to obtain the accurate position of a target, calculating a loss function, and updating the parameters of the whole network to obtain a training model; 6) utilizing the training model to detect the data in the data set, and outputting the detected pictures. The scientific and technological literature picture extraction method is high in detection speed and high in accuracy, facilitates the further analysis and understanding of the scientific and technological literature pictures, and has the higher practical application value.

The invention discloses an N-gram-based semantic mining method for increment of a topic model. The N-gram-based semantic mining method comprises the steps of: (1) expanding an Author-Conference topic model, wherein a word space is expanded from Unigram to N-gram; (2) calculating a prior probability parameter of a current model according to linear weighting of posterior probability in a prior trained model with respect to current input data; (3) calculating a posterior probability value of the current model to the current data by adopting a Gibbs sampling method; and (4) repeating the steps (2) and (3) for training the model in an increment manner with respect to newly input data streams. According to the invention, the N-gram is introduced into the topic model and the property of the topic model for modeling scientific and technical literature is improved according to the semantic features contained by the N-gram; and the topic distribution of historic data is recorded by adopting asymmetric prior probability so as to train the model in an increment manner, and the efficiency of the method is increased.

The invention relates to a scientific and technical literature quoting number predicting method based on a time sequence. The predicting method includes the steps that statistics is carried out on scientific and technical literature quoting numbers, and then average literature quoting numbers of all the months are calculated; in combination with the average literature quoting numbers of all the months, the quoting numbers of the corresponding months are processed in a normalization mode to obtain the quoting time sequence; cluster analysis is carried out according to the time sequence, and a quoting number model with the optimal predicting performance is obtained through dividing training sets and verifying sets, building a regression model and performing error analysis; according to similarity analysis of literature to be predicted and time sequences of various kinds of literature, the class with the highest similarity is obtained, and the quoting number, in the next month, of the literature to be predicted is obtained through the model with the optimal predicting performance. The quoting conditions of each piece of published literature can be automatically analyzed, the average literature quoting numbers of all the months are obtained, different quoting modes of the literature are excavated through clustering, and then the future quoting number is predicted according to the existing time sequence of the literature to be predicted.

A management system of technical literature data and the method thereof are disclosed. According to the user's authority corresponding to the user identification, the invention reads out function items that can be accessed by the user. An operating interface displaying the function items, provides the user for manipulating function corresponding to the displayed function items so that multiple users can manage technical literature data together. This can efficiently share notes for the technical literatures, achieving the goal of studying a lot of technical literatures by division of labor and reducing system operation loading.

The invention discloses a technical document analysis method and a technical document analysis system, which are suitable for analyzing a plurality of technical textual materials, wherein each said technical textual data contains a documental data respectively, and the method includes: performing a text search, and A plurality of technical words are respectively extracted from the plurality of technical text data, wherein each of the technical words corresponds to at least one technical text data. A word correlation analysis is performed to divide the plurality of technical words into a plurality of technical groups. According to the multiple technical words that make up each of the technical groups, and the literature data contained in the multiple technical text materials corresponding to them, mark a corresponding one of each of the technical groups. age range. According to the original data of each technical group respectively corresponding to the age interval, a technical development track of the plurality of technical text data is drawn. The present invention can quickly chart the technological development track hidden behind the technical documents.

The invention discloses a scientific and technical literature information retrieval system of a maker venture capital investment space. The system comprises a data service module, a data push module, an information retrieval module, a literature transmission module and a client application module; the data push module communicates with the data service module through the Internet and comprises a plurality of data cloud service centers, and the data service module obtains scientific and technical information index data from these data cloud service centers; the information retrieval module receives a retrieval request of the client application module and returns a corresponding retrieval result and scientific and technical information supply means by retrieving the scientific and technical information index data stored in the data push module, and receives a scientific and technical literature or information subscription demand of the client application module; and the literature transmission module is used for pushing an access means of the subscribed scientific and technical literature or information to the client. The scientific and technical literature information retrieval system disclosed by the invention provides an academic resource support for maker spaces or business incubators and creates a convenient scientific and technical literature application environment.

The invention discloses a scientific and technical literature recommendation method based on an author frequent pattern. The scientific and technical literature recommendation method comprises the following steps: adding a function of processing literature ID (Identity) (the unique number of the literature) into a Fp-growth algorithm, constructing the author frequent pattern, a literature set corresponding to the author frequent pattern, literature published by the author and a literature set corresponding to a keyword, and removing the literature browsed by a user to construct a literature recommendation candidate set. The invention also constructs a scoring system which sorts the candidate sets according to the descending order of the scores to recommend ten literatures with the highest score to the user.

The invention relates to podophyllotoxin heterocyclic lipid derivatives, and a synthetic method and an application thereof. In the invention, compared with podophyllotoxin, the obtained podophyllotoxin heterocyclic lipid derivatives have obvious tumour cell inhibitory activities; the inhibitory activities of a part of novel compounds to tumour cell lines are obviously superior to that of parent molecule podophyllotoxin; furthermore, the toxic and side effects are low; and for example, the IC50 value in the background technical literature is 4.0 mu M, but the IC50 value in the experiments in the invention achieves 1.93 mu M.

The invention relates to a document classifying method based on a network measure index. The document classifying method comprises a sample training phase and a document classifying phase. The sample training phase comprises the first step of sample collecting, the second step of text segmenting, the third step of word class analyzing, the fourth step of function word and name removing, the fifth step of word frequency counting, the sixth step of characteristic set Vd establishing, the seventh step of characteristic network peak establishing, the eighth step of characteristic network edge establishing, the ninth step of average degree calculating, the tenth step of cluster coefficient calculating, the eleventh step of characteristic path length calculating and the twelfth step of network measure index interval obtaining. The document classifying phase comprises the first step of processing a document to be classified and the second step of judging document classification. According to the document classifying method, classifying is accurate, classifying efficiency is high, the problem that according to an existing classifying method, scientific and technical literature, novels and prose cannot be distinguished is solved, and a scientific classification method and a theoretical foundation is laid for automatic distinguishing of the scientific and technical literature, the novels and the prose.

The invention discloses a method and system for classifying link resources in scientific and technical literature, equipment and a storage medium. The method comprises the following steps of: extracting a description text of resources to be classified; and inputting the description text into a pre-trained classification model to obtain a classification result based on a knowledge representation framework, thereby realizing classification of the to-be-classified resources. According to the method, the recognition model is constructed through the neural network method based on context information according to the semantic characteristics of the link resources in the scientific and technical literature, recognition of the resources can be effectively improved, and management, analysis and recommendation of the scientific and technical link resources are facilitated.

The invention provides a technical literature information extraction method and system and a storage medium, wherein technical literatures are retrieved according to the technical field which technicians want to research, the technical literatures are preprocessed, and a comprehensive chart data set can be generated according to a summarized list obtained after preprocessing, a specific chart data set can be generated according to specific scholars or institutions or keywords interested by the technicians, and the comprehensive chart data set and the specific chart data set are displayed in the form of a data table and a visual graph; therefore, technicians can conveniently analyze the development direction of the current field or the development direction of specific research scholars, research institutions or keywords. In the whole process, a technician only needs to input a to-be-studied direction or to-be-studied scholars, organizations or keywords, multiple tools do not need to be used, the operation steps are simple, and the research personnel can be well supported to carry out subject field development analysis.