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66 results about "Structural representation" patented technology
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A structural representation depends on the existence of a common structure between a representation and that which it represents, and it is important because it allows us to reason directly about the representation in order to draw conclusions about the phenomenon that it depicts.
Knowledge graph generating method and device
ActiveCN106156365AImprove interactive experienceMeet the needs of intelligent interactionSemantic analysisSpecial data processing applicationsStructural representationKnowledge graph
The invention provides a knowledge graph generating method and device. The method comprises the steps as follows: original text data in a designated field are subjected to morphological, semantic analysis and / or semantic analysis, and standard text data are obtained; factual information is extracted from the standard text data and comprises the following elements: the relation among entities, attributes and entities as well as the relation between the entities and the attributes; structural representation is performed on the factual information in a preset representation form, and structured data pairs of the factual information are obtained; the structured data pairs are adopted as knowledge entries for establishing of a knowledge graph. With the adoption of the knowledge graph generating method, the specific knowledge graph can be established, the intelligent interaction requirement in the specific field such as the children's filed is met, and the interactive experience of users with different requirements is improved.
Owner:北京如布科技有限公司
Systems and methods for hybrid text summarization
InactiveUS20050086592A1Quality improvementData processing applicationsDigital data information retrievalTemporal informationStructural representation
Techniques are provided for segmenting text into categorized discourse constituents and attaching discourse constituents into a structural representation of discourse. Techniques for determining hybrid structural and non-structural summaries of a text are also provided. A text is segmented based on a theory of discourse analysis into at least a main discourse constituent containing spatio-temporal information about a single event in a possible world view. The discourse constituents are then inserted into a structural representation of discourse. Non-structural techniques are used to determine relevance scores and important discourse constituents are determined. Relevance scores are percolated through the structural representation of discourse to determine supporting preceding discourse constituents that preserve grammaticality. A hybrid text summary is then determined based on the structural representation of the discourse and relevance scores.
Owner:FUJIFILM BUSINESS INNOVATION CORP
Chinese text abstract generation system and method
ActiveCN106919646ASemantic analysisSpecial data processing applicationsStructural representationSemantics
The invention discloses a Chinese text abstract generation system, which comprises a preprocessing module, a vocabulary comprehension module, a sentence comprehension module, a paragraph comprehension module and an automatic generation module of an abstract, wherein the preprocessing module is used for carrying out word segmentation and the formation of an original word vector; the vocabulary comprehension module, the sentence comprehension module and the paragraph comprehension module are independently used for adopting a long and short memory to carry out bidirectional deep understanding on vocabularies, sentences and paragraphs; the automatic generation module of the abstract is used for adopting seg2seq to generate the abstract according to the word vector, a sentence vector and a paragraph vector comprehended by the vocabulary comprehension module, the sentence comprehension module and the paragraph comprehension module. The invention also discloses a Chinese text abstract generation method. By use of the Chinese text abstract generation system and method, a neural network is used for enabling a machine to truly read a full text, the comprehended text is expressed in a neural network, and a brief abstract is output in a serialized way. When the system comprehends an article, in addition to semantics, the structural representation of the article is combined to more elaborately comprehend the full text.
Owner:南京云思创智信息科技有限公司
Real-Time Automated Interpretation of Clinical Narratives
InactiveUS20120278102A1Natural language translationSemantic analysisStructural representationNomenclature
Techniques for enabling real-time automated interpretation of clinical narratives are disclosed. The automated interpretation can be achieved by translating narrative text into a clinical terminology-encoded structural representation such as the Systemized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) example of such a clinical terminology. The translation process enables the generation of both pre-coordinated and post-coordinated SNOMED CT concept expressions.
Owner:CLINITHINK
Hash compact XML parser
InactiveUS7281205B2More disadvantageDigital computer detailsComputer security arrangementsStructural representationTheoretical computer science
A method of parsing a markup language document comprising syntactic elements is disclosed, said method comprising, for one of said syntactic elements, the steps of identifying (310) a type of the element, processing (318) the element by determining a hash representation thereof if said type is a first type, and augmenting (314) an at least partial structural representation of the document using the hash representation if said type is said first type.
Owner:CANON KK
System and method for writing analysis using the linguistic discourse model
InactiveUS6961692B1High interceder reliabilityEasily taughtNatural language data processingSpecial data processing applicationsGraphicsStructural representation
A technique for writing analysis using the theory of discourse that categorizes text into content, operator and modifier text building units and provides for relating the categorized text building units together using coordination, subordination and binary relationships. A graphical representation of the discourse can be shown since the structural representation of discourse created by the interrelationships can be easily displayed. The analysis and graphical visualization of the writing structure of texts helps writers to analyze and compare writings.
Owner:FUJIFILM BUSINESS INNOVATION CORP
Systems and methods for hybrid text summarization
InactiveUS7610190B2Data processing applicationsDigital data information retrievalTemporal informationNatural language processing
Owner:FUJIFILM BUSINESS INNOVATION CORP
Deep-learning-based multi-mode medical image non-rigid registration method and system
ActiveCN108416802AOvercome the problem of missing tagsSimple structureImage enhancementImage analysisStructural representationDeep learning
The invention discloses a deep-learning-based multi-mode medical image non-rigid registration method and system. The registration method comprises: on the basis of lots of medical data, a PCANet is trained; a floating image and a reference image are inputted into the trained PCANet to obtain structural representation maps of the floating image and the reference image; and according to the structural representation maps of the floating image and the reference image, a registration image is obtained. According to the invention, on the basis of the PCANet deep learning network, the structural representation map of the image is constructed and the registration problem of the non-rigid multi-modal medical image is transformed into a single-mode medical image registration problem, so that the accuracy and robustness of non-rigid multi-mode medical image registration are improved substantially.
Owner:HUAZHONG UNIV OF SCI & TECH
Method for constructing prototype vector and reconstructing sequence parameter based on semantic information in image comprehension
InactiveCN101373518AOvercoming rigidity of rulesImage understanding facilitatesCharacter and pattern recognitionStructural representationReduction treatment
The invention provides a semantic-based information prototype vector composition and order parameter reconstruction method in image understanding. The method comprises the following steps: 1. the prototype vector representation of scene and target semantic information; 2. the structural representation of scene and target prototype vectors; 3. the reduction treatment of the scene and target prototype vectors; and 4. the reconstruction of scene and target order parameters. The method is based on the synergetics and the synergetic pattern recognition principles, extracts and reconstructs the features of the scene and the target in an image and carries out the feature description which is added by semantic information of the scene and the target in the scene to achieve the purpose of recognizing the image, the computational complexity is low, the study ability is strong, the recognition efficiency is high and the algorithm robustness is stronger.
Owner:HEFEI UNIV OF TECH
Webpage theme information extraction method
InactiveCN103838801AWeb data indexingSpecial data processing applicationsInformation layerStructural representation
The invention discloses a webpage theme information extraction method. The method comprises the following steps that a structural representation method of tree-shaped information is used for representing individual service problems; logical representation of structured problems is conducted; orderly solving of the individual problems is conducted. Due to the fact that the structural representation method of the tree-shaped information is used for describing the individual service problems, the individual service problems of various fields and modes are represented by using three basic elements which refer to the service content element, the service object element and other elements, the individual service problem is divided into a basic element layer, a basic information layer and a sub information layer, so that the individual service problems of information systems in most of fields are structuralized, and the recommendation rules of individual service can be set. According to the webpage theme information extraction method, a weighted search solving method is used, the weight of a reasoning result related to the current purchase history of a customer is maximum, sequential lowering according to a purchase sequence in later is achieved, and new resources interested by a server object is recommended.
Owner:DALIAN LINGDONG TECH DEV
Systems and methods for detecting hidden text and hidden links
ActiveUS8392823B1Web data indexingSpecial data processing applicationsStructural representationInterconnection
A system detects hidden elements in a document that includes a group of elements. The system may identify each of the elements in the document and create a structural representation of the document. The structural representation may provide an interconnection of the group of elements in the document. The system may also determine whether one or more elements of the group of elements are hidden based at least in part on locations or other attributes or properties of the one or more elements in the structural representation.
Owner:GOOGLE LLC
Entity alignment method and device suitable for multi-modal knowledge graph
ActiveCN112287126ARelational databasesCharacter and pattern recognitionPattern recognitionStructural representation
The invention discloses an entity alignment method and device suitable for a multi-modal knowledge graph. The method comprises the following steps of: acquiring data of two multi-modal knowledge graphs; projecting the data of each mode to a hyperbolic space; learning structural features and visual features of entities by using a hyperbolic graph convolutional neural network; fusing the multi-modalfeatures; representing the entity similarity by using the distance in the hyperbolic space; and performing entity identification alignment according to the similarity. According to the method, Euclidean representation is expanded to a hyperboloid manifold, and structural representation of the entities is learned by adopting the hyperbolic graph convolutional network; for visual information, imageinserts are generated by using a densenet model, and the image inserts are inserted into the hyperbolic curve space by using the hyperbolic graph convolutional network; finally, structure inserts andthe image inserts are combined in the hyperbolic space to predict a potential alignment mode. and therefore, the method is particularly suitable for entity alignment and fusion of the multi-modal knowledge graph.
Owner:NAT UNIV OF DEFENSE TECH
Legal document analysis method based on case factors
InactiveCN110147553AEasy to identifyAvoid manual selection of featuresNatural language data processingNeural architecturesStructural representationDocument analysis
The invention discloses a legal document analysis method based on a case element, which comprises the following steps of: 1, extracting case description information from a legal document by utilizinga machine learning algorithm, and labeling case description according to the priority of case element labeling; 2, carrying out data preprocessing: identifying the case elements marked in the step 1;and 3, carrying out case element identification based on the deep neural network: taking the labeled document data as the original input of the labeling model to realize end-to-end case element identification. By carrying out flattening associated case element labeling on legal documents, processing labeled document data into a classical BIO sequence labeling format by taking sentences as units, and identifying case elements in documents by adopting a related sequence labeling model, case element recognition is beneficial to structural representation of legal documents, supports fusion analysis of legal documents and other application researches, and brings great convenience to information retrieval, automatic review and other practice applications of the legal documents.
Owner:GUIZHOU UNIV +2
System and method for an influence based structural analysis of a university
An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. Given such a structural representation, a system and method that propagates the influence factors of the entities to arrive at a stable representation from the point of view of influences is discussed.
Owner:SRM INST OF SCI & TECH
Knowledge graph pre-training method based on structured context information
ActiveCN112100404AImprove the experimental effectGood test indexSpecial data processing applicationsSemantic tool creationStructural representationKnowledge graph
The invention discloses a knowledge graph pre-training method based on structured context information, and the method comprises the steps: constructing an instance composed of context triples for a target triple, employing a triple integration module to code each context triple of the instance, and obtaining an integration vector; forming a context vector sequence by the integrated vectors of allthe context triples of the instance, and encoding the context vector sequence by adopting a structured information module to obtain structural representation vectors of the triples; and calculating the structure representation vector of the triple by adopting a universal task module to obtain a label prediction value of the triple, and updating the structure representation vector of the triple based on the cross entropy loss of the label prediction value of the triple and the label true value until the training is finished to obtain an optimized structure representation vector of the target triple. The structural representation vector of the triple obtained by the method combines contextual information.
Owner:ZHEJIANG UNIV
Knowledge representation method based on combination of text embedding and structure embedding
ActiveCN110851620AImprove the ability to distinguishEasy to completeNatural language data processingEnergy efficient computingStructural representationAlgorithm
The invention discloses a knowledge representation method based on the combination of text embedding and structure embedding, and the method comprises the steps: 1, carrying out the preprocessing of an entity description text in a knowledge base, and extracting a subject term from each entity description; 2, encoding the subject term into a term vector by using fasttext, wherein each entity description is expressed as a multi-dimensional term vector; step 3, inputting the processed multi-dimensional word vectors into a bidirectional long-short memory network (A-BiLSTM) with an attention mechanism or a long-short memory network (A-LSTM) with an attention mechanism for encoding, processing the multi-dimensional word vector representing each entity into a one-dimensional vector, namely text representation, and training an existing StransE model to obtain structural representation of the entity; 4, introducing a gating mechanism, and proposing four methods related to text embedding and structure embedding combination to obtain a final entity embedding matrix; and 5, inputting the entity embedding matrix into a ConvKB knowledge graph embedding model, a TransH knowledge graph embedding model, a TransR knowledge graph embedding model, a Distmult knowledge graph embedding model and a Hole knowledge graph embedding model, and improving a knowledge completion task.
Owner:TIANJIN UNIV
Zirconium phosphoester nano magnetic beads, as well as preparation and application thereof
InactiveCN101434641AProtection from erosionAvoid adsorptionPeptide preparation methodsPhosphateMagnetic bead
The invention relates to a phosphate zirconium nano magnetic particle with the structural representation on the right, and the preparation and application thereof; the preparation method comprises the steps that phosphate groups are induced to the surface of the nano magnetic particle which is wrapped with silicon dioxide on the surface and takes ferriferrous oxide as a magnetic inner core; then, a phosphate zirconium layer is formed on the surface by the mutual action between zirconium ions and the phosphate groups on the surface, thereby successively preparing a nano magnetic particle having high efficiency, high-selectivity separation and enrichment feature to peptide phosphate. The nano magnetic particle is mainly used for separating the enriched peptide phosphate from biological samples, with high efficiency and under the action of a magnetic field. The extracted peptide phosphate can be directly analyzed and represented by mass spectrum.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
System and method for university model graph based visualization
InactiveUS20110276509A1Efficiently understoodData processing applicationsStructural representationData science
An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. A structural representation that captures the essence of all of the relationships in a unified manner has concise information about the educational institution, and visualization is a way to bring out all this information in an explicit manner so that the various of the users of the educational institution system understand effectively their system. A system and method for visualization based on the structural representation of a university along a variety of dimensions is discussed.
Owner:SRM INST OF SCI & TECH
Method for reconstructing three-dimensional structured model based on any visual angle pictures
PendingCN113077554ASimplify the process of data captureImprove structural featuresNeural architectures3D modellingData setGrid deformation
The invention discloses a three-dimensional structured model reconstruction method based on any view angle pictures. The method comprises the following steps of 1, collecting pictures, and forming a training data set; 2, segmenting object parts of the picture to obtain a bounding box of each part; 3, constructing a deep convolutional network model, and extracting a corresponding depth image from the image; 4, constructing a deep network model, and decoding the structural representation of the object; and 5, constructing and training a deep three-dimensional mesh deformation network, and deforming the bounding box into a three-dimensional model with a good structure. According to the method, the object structure representation is deformed, and a topology self-adaption method is used, so a problem that the topology is not changed when a general graph is used for convolution can be solved, and geometric details and the structure information of object recovery are ensured.
Owner:SOUTH CHINA UNIV OF TECH
Method for Affinity Scoring of Peptide/Protein Complexes
InactiveUS20080312840A1Easy transferCalculate conformational strain energies sufficiently fastProteomicsBiological testingField functionSide chain
The present invention is related to a quantitative structure-based affinity scoring method for peptide / protein complexes. More specifically, the present invention comprises a method that operates on the basis of a highly specific force field function (e.g. CHARMM) that is applied to all-atom structural representations of peptide / receptor complexes. Peptide side-chain contributions to total affinity are scored after detailed rotameric sampling followed by controlled energy refinement. The method of the invention further comprises a de novo approach to estimate dehydration energies from the simulation of individual amino acids in a solvent box filled with explicit water molecules and applying the same force field function as used to evaluate peptide / receptor complex interactions.
Owner:ALGONOMICS
Stray light removing hard tube endoscope optical system
The invention provides an optical system of a hard tube endoscope. The optical system comprises an objective lens set and a relay system. The objective lens set comprises a first lens set, a second lens set, a third lens set and a fourth lens set. An aperture diaphragm is located in the second lens set. The relay system is composed of odd number pairs of transferring lens with the magnifying power being 1:1, the relay system comprises two completely same tri-agglutination bar lenses, the distances between every two adjacent bar lenses are equal, and images formed by objective lenses are transferred in a working telescope many times. A final image is received through the ocular lens human eye or a CCD detector. The full field angle of the system is within 70 degrees, stray light does not exist in an image plane when the system aligns with a light source, the interference on imaging from the stray light entering a lens cone is completely removed, the MTF value is larger than 0.3 at the 1,201p / mm position, and the optical system has the advantages of being large in visual field and field depth, small in field curvature, capable of removing distortion, even in brightness, simple in structure, low in cost and the like. The picture 1 is the structural representation of the optical system of the non-stray-light hard tube endoscope, and the number 1 is the objective lens set.
Owner:BEIJING WEISIDUN ASIA PACIFIC OPTO ELECTRIC INSTR CO LTD
Structural Representation and Facilitation of Manipulation Thereof Via Implicit Vertex Relationships
Owner:HERE GLOBAL BV
System and method for university model graph based visualization
An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. A structural representation that captures the essence of all of the relationships in a unified manner has concise information about the educational institution, and visualization is a way to bring out all this information in an explicit manner so that the various of the users of the educational institution system understand effectively their system. A system and method for visualization based on the structural representation of a university along a variety of dimensions is discussed.
Owner:SRM INST OF SCI & TECH
A method and device for rapidly determining interface code and test script parameter values
ActiveCN102270126AReduce investmentPromote rapid developmentSpecific program execution arrangementsStructural representationTest script
Owner:DATANG MOBILE COMM EQUIP CO LTD
System and method for constructing a university model graph
InactiveUS20110320500A1Digital data processing detailsOffice automationStructural representationData science
An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. A system and method for the construction of such a structural representation of an educational institution based on the educational institution specific information is discussed.
Owner:SRM INST OF SCI & TECH
Method of splitting one body for making four specimens
ActiveCN109122661ASave raw materialsEasy to storeDead animal preservationStructural representationMedicine
The invention discloses a method for splitting one body for making four specimens. The method includes the following steps of selecting an object; stripping the skin; conducting anatomy; stripping muscles, nerves and blood vessels; taking out internal organs and conducting anatomy; anatomizing bones and ligaments; taking out the brain; conducting dewatering, degreasing and resin soaking; making the skin specimen; making the muscle specimen; making the bone and ligament specimen; making the internal organ specimen; conducting restoration, solidification and cleaning. By means of the method, thebody is split into the four specimens, raw materials are saved, convenience is provided for storage, and each split specimen can independently represent respective specific anatomic features and different kinds of survival action form features, and the complexity of hierarchical structural representation of vertebrate anatomic plasticized specimens and the diversity of survival states of the vertebrate anatomic plasticized specimens are satisfied.
Owner:DALIAN HOFFEN BIO TECHN
System and method for an influenced based structural analysis of a university
An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. Given such a structural representation, a system and method that propagates the influence factors of the entities to arrive at a stable representation from the point of view of influences is discussed.
Owner:SRM INST OF SCI & TECH
Knowledge graph visualization method for electric power scientific and technological achievements
PendingCN111680163AEfficient acquisitionGuaranteed uptimeNeural architecturesNeural learning methodsStructural representationEngineering
The invention relates to a knowledge graph visualization method for electric power scientific and technological achievements. Compared with the prior art, the defect that semantic analysis is difficult to carry out due to the fact that the electric power scientific and technological achievements are numerous in data size is overcome. The method comprises the following steps: obtaining electric power scientific and technological achievement data; setting a structural representation model based on the activation vector; setting a text representation model based on the CNN; carrying out knowledgerepresentation based on joint training; and obtaining a visual result of the knowledge graph. According to the method, the structural knowledge representation method based on the activation vector and the text information knowledge representation method based on the CNN are fused, calculation parameters can be effectively reduced, model operation is efficient, features in the text structure and the text information are effectively obtained, and the representation result is more accurate.
Owner:EAST INNER MONGOLIA ELECTRIC POWER COMPANY +3
Electronic learning method based on knowledge base
The invention discloses an electronic learning method based on a knowledge base. The electronic learning method based on the knowledge base comprises the following steps that a tree-based information structural representation method is used for representing individualized learning problems, a structured problem is represented logically, and the individualized learning problems are resolved orderly. As the individualized learning problems are described according to the tree-based information structural representation method, the individualized learning problems in various fields and forms are represented through three basic elements including the student element, the learning content element and another element, and are divided into a basic element layer, a basic information layer and a sub information layer, and therefore the individualized learning problems of information systems of most fields can be structured, and then the recommended rule of individualized learning can be set. Weighting is adopted for search of all solutions in the method, the weight of an inference result related to knowledge needing to be learnt by students is the largest, and thus new knowledge in which the students are interested is recommended.
Owner:DALIAN LINGDONG TECH DEV
Method for predicting common environment poison property/activity on the basis of intelligent correlation index
InactiveCN102323973AGood forecastSpecial data processing applicationsStructural representationHydrogen atom
The invention relates to a method for predicting common environment poison property / activity on the basis of an intelligent correlation index, which is suitable for predicting the poison property / activity according to the molecular structure information of environment poison compound. The method comprises the following steps: (1) defining an atom type, and dividing the atom into four classes according to the branching coefficient of the atom; (2) defining the property correlative parameter (PCP) and the distance correlative function (DCF) of a non-hydrogen atom by a user according to the structural characteristic of the researched environment poison module; (3) determining an intelligent correlative function; (4) calculating an intelligent correlative index (ICI); and (5) and obtaining anoptimal prediction model according to a statistical result. Experiments prove that the method for representing the molecular structure of the environment poison has the advantages of specific materialization meaning, strong structural representation capability and good expansion performance and can be regulated, and good effect is obtained in the quantitative structure activity prediction research of various types of environment poison modules.
Owner:SHAANXI UNIV OF SCI & TECH
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