123results about "Patent retrieval" patented technology

The invention relates to the technical field of electrical digital data processing, and discloses a system conflict point intelligent review system based on a knowledge graph and a large language model, which comprises the following steps: constructing a dual-mode storage space containing an unstructured index and a structured logic graph, analyzing target text extraction features and triggering graph-based generation logic; converting the topological structure of the associated sub-atlas into a natural language instruction sequence to construct a forced logic constraint template, filling the template with a text, and inputting a pre-training language model to generate a verification result; according to the method, the discrete atlas topology is mapped into the linear logic constraint, random divergence of the generative model is restrained on the calculation principle, and precise decoupling and dynamic evolution of unstructured semantics and structured logic are achieved.

An interactive, dynamic GUI for visualization of patent documents including content-dense graphics illustrating the number, content size, type of a multiplicity of patent documents (issued or granted patent versus published pending application), distributed over time, with comparison to similar patent documents, market events, and expert insights based upon content of specification or detailed description and claims, all within a predetermined technology sector having at least one sub-sector or category within the technology sector.

The invention discloses an intelligent matching method and system for an intelligent supply chain platform, and the method comprises the steps: receiving user demand data, carrying out the multi-modal semantic analysis, and generating a semantic network containing a technical field label, a technical problem vector, and a technical means association graph; generating a first matching list and a second matching list through cooperative operation of the knowledge graph matching model and the natural language processing model; and executing self-adaptive cross validation, and generating candidate sets: carrying out unified sorting on the candidate sets according to a sorting rule, and outputting a matching result. Through a semantic network of a technical field label, a problem vector and a technical association graph, the limitation of traditional keyword matching is broken through, and multi-dimensional accurate mapping of demands and supplies is realized; the knowledge graph model and the natural language processing model cooperate with each other, so that the problem of semantic deviation of a traditional single model is solved; a self-adaptive cross validation mechanism dynamically switches a fusion strategy through a deviation rate, and the robustness in a complex scene is effectively improved.

The invention discloses an electric power technology contribution degree evaluation method and system based on a knowledge graph, and relates to the technical field of electric power technology innovation contribution degree evaluation, and the method comprises the following steps: classifying electric power technology data based on a triple, and obtaining first triple data; obtaining local credibility data of the first triple data, constructing a triple reliability scoring model based on a BP neural network, and screening the first triple data to obtain second triple data; obtaining contribution degree evaluation features of the power patent knowledge graph constructed based on the second triple data; and constructing a contribution degree evaluation model based on a BP neural network according to the contribution degree evaluation features, sorting model outputs, and generating an innovation contribution degree evaluation table, thereby solving the problem of one-sided evaluation results of the innovation contribution degree of the power technology, and comprehensively quantifying the innovation contribution degree of the power technology patent.

The invention provides an intellectual property and academic assistant system, an implementation method and device thereof, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps that question information is obtained, the question information is input into an intention classification model for intention classification, an intention classification result indicating question categories of the question information is obtained, and the question categories of the question information comprise an intellectual property question and answer category, a patent retrieval category and an academic question and answer category; if the question category of the question information is a patent retrieval category, inputting the question information into a patent retrieval model to generate a patent retrieval result; if the question category of the question information is an intellectual property question and answer category, inputting the question information into an intellectual property large model to generate an intellectual property answer result; and if the question category of the question information is an academic question and answer category, inputting the question information into an academic question and answer model to generate an academic question and answer result. The problem of poor efficiency of an intellectual property and academic assistant system in related technologies is solved.

The invention provides an automatic generation method of a patent retrieval formula, which belongs to the technical field of intellectual property retrieval, and comprises the following steps: acquiring a preliminary keyword set and a retrieval purpose; according to the retrieval purpose, keyword categories are automatically recognized, and the categories comprise technical vocabularies, application scene vocabularies, function vocabularies and exclusion vocabularies; distributing a weight for each keyword by using a weight distribution algorithm; screening the keywords by using a greedy algorithm to generate an optimal keyword combination; the technical vocabularies and the function vocabularies are connected through Boolean logic to form the retrieval formula, synonyms and synonyms are connected through OR, keywords of different types are connected through AND, and antonyms are connected through NOT.

A system and computer implemented method of patent mapping are provided. The method comprises maintaining a database of patent portfolios and a database of patents, each patent stored in the database of patents associated with one or more patent portfolios stored in the database of patent portfolios; maintaining a database of ontologies, the ontologies including one or more patent concepts in defined groups; receiving a search query associated with a first patent portfolio; searching the first portfolio as a function of the search query; generating search results, the search results including one or more patent claims associated with the search query; and mapping the one or more patent claims to a patent concept in a defined group.

According to the patent retrieval keyword extraction method and system based on the technical requirements, multi-dimensional comprehensive evaluation is adopted for retrieval keyword analysis and extraction, synonyms and antonyms are generated, keyword combinations are optimized according to historical data of a patent library, the retrieval efficiency is improved, and the retrieval efficiency is improved. According to the keyword extraction method for multi-dimension comprehensive evaluation, an adaptive weight adjustment mechanism is introduced, and a machine learning or deep learning model is utilized to automatically adjust the weight according to historical feedback data of a user, so that the weight of each dimension is dynamically adjusted through a machine learning method; therefore, the keyword extraction effect is kept optimal under different technical requirement scenes; and in the synonym and antonym generation process, BERT or other context related models are utilized, the context of the technical requirements is analyzed, dynamic adjustment is performed based on the context, the actual context in the technical requirement document is better met, the problem that synonyms in a static dictionary are not suitable for the current context can be effectively avoided, and the retrieval effect is improved.

A patent drawing code recognition method according to one embodiment of the present invention may include the steps of: learning a plurality of patent drawing samples to construct a drawing code position recognition model and a drawing code recognition model; inputting a patent drawing to be recognized as a drawing code; recognizing the position of the drawing code included in the patent drawing using the drawing code position recognition model; cutting out the drawing code at the recognized position from the patent drawing as an image fragment; and recognizing the drawing code included in the image fragment using the drawing code recognition model.

An information processing apparatus includes circuitry configured to acquire patent information related to a plurality of patents held by a specific applicant; and calculate a concentration degree on a technical classification, the technical classification being extracted under a predetermined condition from a patent group, and the patent group representing a group of patents classified into a predetermined period among the plurality of patents held by the specific applicant.

The application discloses an intelligent matching method and system for an intelligent supply chain platform, and the method comprises the following steps: receiving user demand data and performing multi-modal semantic analysis to generate a semantic network comprising a technical field label, a technical problem vector and a technical means correlation graph; generating a first matching list and a second matching list through collaborative operation of a knowledge graph matching model and a natural language processing model; performing adaptive cross-validation and generating a candidate set; uniformly sorting the candidate set according to a sorting rule and outputting a matching result. Through the semantic network of the technical field label, the problem vector and the technical correlation graph, the limitation of traditional keyword matching is broken through, and multi-dimensional accurate mapping of demand and supply is realized; the double-model cooperation of the knowledge graph model and the natural language processing model solves the problem of semantic deviation of a traditional single model; and the adaptive cross-validation mechanism dynamically switches a fusion strategy through a deviation rate, thereby effectively improving the robustness in a complex scene.

Provided is an information retrieval system capable of retrieving, for a designated application, similar applications and value information for the similar applications. Provided is an information retrieval system that: receives a designated application; calculates a first degree of similarity between the specification of the designated application and respective specifications of a plurality of applications; extracts a plurality of first similar applications from the plurality of applications on the basis of the first degree of similarity; calculates, for at least one of the plurality of first similar applications, a second degree of similarity between a support drawing corresponding to the scope of the claims and at least one drawing of the designated application; on the basis of the second degree of similarity, extracts, for at least one of the plurality of first similar applications, at least one drawing similar to the support drawing from among the drawings of the designated application; and outputs value information, the support drawing, and the similar drawing, for at least one of the plurality of first similar applications. The value information may be information about related products or the like.

The invention provides a patent document database construction method and device based on technical description. The method comprises the following steps: identifying a main body tag and a description tag of each patent document based on a named entity identification model; carrying out punctuation mark-based feature statement division on the technical description part, and combining all main body tags and / or all description tags belonging to the same feature statement to obtain a technical description combination; and associating the patent number of the patent file with all the technical description combinations to form a patent file database based on the technical description. The patent document is subjected to entity recognition, the feature statements are used as the combination range of the main tags and the description tags, and the technical description of the patent document is combined by using more simplified main information, so that complete coverage of the feature information is realized; and the problem that the retrieval precision is influenced by redundant descriptions or interference words in traditional independent keywords or key sentences is avoided.

A target IP search method for a target item according to one embodiment is performed by a computer device. The target IP search method for the target item includes the steps of: obtaining a designating query for the target item; and, based on the query, searching for a plurality of target IPs used in at least one of the research, development and production of the target item. Here, the plurality of target IPs include IP relating to each of at least two components of the components of the target item and / or IP relating to the combined technology of the at least two components used for the performance, operation, production and use of the target item.

To realize highly accurate document search, particularly search for a document relating to intellectual property through a simple input method.SOLUTION: A document search system includes a processing unit. The processing unit has a function of extracting a keyword included in text data, a function of extracting a related term of the keyword from words included in multiple pieces of first reference text analysis data, a function of adding a weight to each of the keyword and the related term, a function of scoring each of multiple pieces of second reference text analysis data on the basis of the weight, a function of ranking the pieces of second reference text analysis data on the basis of the scores to generate ranking data, and a function of outputting the ranking data.SELECTED DRAWING: Figure 2

An information processing apparatus includes an analysis section that analyzes text data representing a claim included in patent literature data to determine a constituent element of an invention for each claim included in the claim, and a display control section that divides text representing each claim of the claim into each of the constituent elements and displays on a display device.

The present disclosure relates to a document comparison system (100) for comparing a first document (D1) with a second document (D2). The first document (D1) includes at least a first section having at least one first section entity (CEn), and the second document (D2) includes at least one second document entity (CEn). The document comparison system includes a processor (110) and a memory device (120). The processor is configured to identify the at least one first section entity (CEn ) in the first section of the first document (D1). The processor conducts a search of the second document (D2) to identify the presence or absence of one or more second document entity (CEn) corresponding to or equivalent to each first section entity (CEn) identified in the first section. The present disclosure also relates to a dictionary generating system; a document comparison method; a dictionary populating method; and non-transitory computer-readable medium.

A novel data processing system that is highly convenient, useful, or reliable is provided. The data processing system is composed of three components. A component 1 receives identification data, transmits the identification data to a component 3, and provides an annotated document. A component 2 extracts a special technical feature and generates the annotated document with the use of a large language model. The component 3 receives and shares the identification data and the special technical feature, and creates and shares a table. The component 3 includes two subcomponents. A subcomponent 1 manages a patent application document and an examination record with the use of a database and a management system. A subcomponent 2 creates a prompt to extract the special technical feature and generate the annotated document.

The present invention, a machine for inventing, hereinafter referred to as "Inventor," relates to a holistic computing system and method for evaluating and using existing technical and scientific disclosures in all kinds of documents, including patentable and non-patentable existing art and prior art known in patentability, to create and provide useful new solutions in the form of methods and devices, including but not limited to patentable subject matter, and for carrying out solutions / inventions.

To support quick and precise reading of description of a scope of a patented claim.SOLUTION: The present invention is directed to an information processing apparatus having an analysis unit for analyzing text data indicating a scope of a patent claim included in patent literature data to specify a claim element of invention for each of claims included in the scope of the patent claim, and a display control unit for displaying, on a display device, the text indicating each claim of the scope of the patent claim with dividing the text into portions corresponding to the respective claim elements.SELECTED DRAWING: Figure 3

Disclosed are a method for constructing a database, a method for labeling an association degree of biological sequences, a method for retrieving a document, and a computer device. In the solution of this application, a biological sequence and attribute information are extracted from a target document, and an entry in a database is constructed based on the extracted biological sequence and the attribute information. When a user conducts retrieval based on the database, a server can match an entry for the user by means of the biological sequence and the attribute information in the entry or a combination of the two. Therefore, when applied to a retrieval platform, the database of this application can provide the user with various types of retrieval support, such as biological sequence retrieval, biological sequence attribute retrieval, and comprehensive biological sequence and biological sequence attribute retrieval, and the like.

A method for searching a target intellectual property to find a target item according to an embodiment is executed by a computer device. The method for searching the target intellectual property to search the target item comprises the following steps: obtaining a query word of a specified target item; and based on the query word, searching a plurality of target intellectual property rights for at least one purpose in research and / or development and production of the target project. Wherein the plurality of target intellectual property rights comprise respective intellectual property rights of at least two elements in the elements of the target project, and / or intellectual property rights which are used for implementation, operation, production and application of the target project and are related to a combined technology of the at least two elements.

The invention belongs to the technical field of data processing. The embodiment of the invention provides an interface control method based on data analysis and terminal equipment. According to the interface control method based on data analysis, the first retrieval operation sequence formed based on the first retrieval process of the user can be matched with the user template, then the user is recognized, and a corresponding interface display mode is provided for the user. Under the condition that the first retrieval operation sequence is not matched with the user template, a second sequence label value is calculated in combination with the second retrieval operation sequence, and then the user template is matched based on the second sequence label value. And when the second sequence tag value is matched with the user template, providing a corresponding personalized customized retrieval interface layout for the user.

Proposed is a method for searching target intellectual properties (IPs) for a target item performed by a computer device. The method may include acquiring a query designating the target item; and on the basis of the query. The method may also include searching a plurality of target IPs for a use in at least one selected from the group consisting of research on or the development and production of the target item. Here, the plurality of target IPs may include IPs for at least two elements among elements of the target item and / or IPs for a technology combining the at least two elements for a use in the performance, operation, production, and utilization of the target item.

The present invention provides a method and system for training a machine learning-based patent search or novelty assessment system. The method includes providing a plurality of patent documents, each of which has a computer-readable claim block and a full specification block, wherein the full specification block includes at least a portion of the specification of the patent document. The method also includes providing a machine learning model and training the machine learning model using a training data set, wherein the training data set includes data from the patent documents used to form the trained machine learning model. According to the present invention, the training includes using claim block and full specification block pairs from the same patent document as training cases in the training data set.

A system and computer implemented method of patent mapping are provided. The method comprises maintaining a database of patent portfolios and a database of patents, each patent stored in the database of patents associated with one or more patent portfolios stored in the database of patent portfolios; maintaining a database of ontologies, the ontologies including one or more patent concepts in defined groups; receiving a search query associated with a first patent portfolio; searching the first portfolio as a function of the search query; generating search results, the search results including one or more patent claims associated with the search query; and mapping the one or more patent claims to a patent concept in a defined group.

Methods, systems, and storage media for determining potential subject matter conflicts among patent matters are disclosed. Exemplary implementations may: obtain two or more documents associated with patent documents; determine a topical distance between the two or more documents, a first topical distance being the topical distance between the first document and the second document; determine whether the topical distance between the two or more document breaches a threshold, a first threshold being associated with the first topical distance between the first document and the second document; and responsive to a determination that the topical distance breaches the threshold, provide an indication that the threshold was breached.

Provided in the embodiments of the present application are a method and apparatus for generating a bull's eye plot, and an electronic device and a storage medium. The method for generating a bull's eye plot comprises: acquiring a plurality of data results; on the basis of at least one first category of the plurality of data results, configuring sectors of a bull's eye plot; on the basis of at least one second category of the plurality of data results, configuring concentric rings of the bull's eye plot, wherein the span of each sector is determined on the basis of a weighted value obtained by means of performing weighted processing on first quantities of data results respectively held by all sub-concentric rings within the sector; and configuring within the sub-concentric rings of the sector image identifiers respectively corresponding to the data results.

The invention provides a semantic retrieval method and device based on a patent document database, and the method comprises the steps: carrying out the preset processing of a retrieval text inputted by a user, so as to obtain a preset tag of the retrieval text; each preset label is correspondingly converted into a label word vector, each label word vector is used as a target word vector in sequence, m patent numbers with the highest similarity with the target word vector are determined in the patent file database, and scores of the patent numbers are determined according to the similarity between the patent numbers and the target word vector; constructing a score dictionary of each patent number, and determining a total score of each patent number; and feeding the k patent numbers with the highest total score back to the user as a retrieval result of the retrieval text. According to the patent document database retrieval method and device, the retrieval text is subjected to structural splitting, and in the retrieval process based on the patent document database, the retrieval result most meeting the user requirement is obtained by combining the score conditions of the retrieval result under different preset tags through finer-grained and more accurate retrieval information.