157 results about "Document model" patented technology

EBPP systems and processes which employ a common document model/data model to accommodate the interests and preferences of billers, customers, financial institutions, other EBPP organizations and others in the context of EBPP specifically and electronic commerce more generally. The common document model/data model allows the biller to outsource billing activities to the EBPP organization while retaining control over the billing information or how or where bills will be presented. Billers are incentivized to use the system because they avoid the expense and effort of building a customized system in house, but get the same advantages of an in house system while leveraging the expertise of an outside EBPP organization who operates across a range of industries, customers, geographical locations and financial fields. The systems also allow billers enhanced opportunities to build brand and customer relationships not offered in paper-based billing systems. Customers are incentivized to use the system because they can pay all or most all of their bills in one place, the place of their choice with bills presented how they choose, and because they may communicate more effectively with billers if and when things go wrong rather than wasting inordinate time on the telephone attempting to sort things out with uninformed people as is often the case in paper based billing systems where the relevant data never seems to catch up with the biller's customer service personnel. The result is a ubiquitous EBPP presence that makes everyone's life easier and better by reducing bill generation and payment burdens.

The invention generally relates to the field of markup languages used to describe adaptive mobile multimedia applications and/or presentations being inherently dependent on the dynamic mobile environment they are running in, which means that these mobile multimedia applications and/or presentations need to be adapted to the preferences of mobile users, the capabilities of their mobile computing devices, and their current situation. It allows adaptive mobile stream-based multimedia applications with real-time requirements in a typical wireless scenario (e.g. a radio link with a changing transmission quality and hand-over procedures) to adaptively and responsively react to a time-varying network topology and different radio link characteristics. Thereby, the underlying invention especially includes research and development issues in the field of describing adaptation possibilities (1500), adaptation constraints (802) and adaptation events (3802) directed to a personalization and context-aware adaptation of document-based multimedia applications by providing methods for pre-allocating, reserving, monitoring and adapting QoS-related parameters in a dynamic mobile environment using an XML-based multimedia presentation language.

In this connection, a document model (100) consisting of vocabulary, document structure and linking means (1600) between the document model elements is presented which supports the description (700) of adaptive mobile multimedia applications and/or presentations. Besides, a document object model supporting a simplified transaction-oriented access is proposed.

The present invention provides systems and methods for converting between an XML data structure and a relational database. It enables the storage of an XML document in such a way that: the relational data model would not have to change as the document model changes; the structure of the tables is set up in such a way that the entire document can be retrieved with a single query in a linear (i.e. non-recursive) fashion; and, information about specific individual components within an XML document can be retrieved via simple queries that do not require hierarchy traversals or intensive, post-query data parsing.

A system and method for delivering a document by a first computer to a second computer over a computer network. A method of the present invention includes the following steps: (1) decomposing the document into nodes in accordance with a document model of the document; (2) associating the nodes with a virtual layout space having one or more of regions; and (3) scheduling delivery of the nodes. Preferably, each of the nodes is associated with at least one region, and each of the nodes further includes one or more levels of resolution. In other embodiments, the method may include one or more additional steps such as, for example, (4) grouping the nodes in multiple batches each of which has at least one node. Preferably, one of the batches has all the nodes.

A system for retrieving information from a document. The system includes a document model representative of the document having a plurality of data structures representative of components within the document and a thumbnail image registered with the document model. The registration is accomplished by mapping selected coordinates within the thumbnail image to a data structure selected from the plurality of data structures. In this manner, a user can interact with the thumbnail image coordinates to retrieve data from the document as a function of the components mapped to those coordinates. In a further embodiment of the invention, the retrieved information may be streamed to a word-at-a-time display. This is particularly useful when used in connection with the display of low-resolution images on hand-held devices.

Optical character recognition systems and methods including the steps of: capturing an image of a document including a set of numbers having a defined mathematical relationship; analyzing the image to determine line segments; analyzing each line segment to determine one or more character segments; analyzing each character segment to determine possible interpretations, each interpretation having an associated predicted probability of being accurate; forming a weighted finite state transducer for each interpretation, wherein the weights are based on the predicted probabilities; combining the weighted finite state transducer for each interpretation into a document model weighted finite state transducer that encodes the defined mathematical relationship; searching the document model weighted finite state transducer for the lowest weight path, which is an interpretation of the document that is most likely to accurately represent the document; and outputting an optical character recognition version of the captured image.

The invention discloses an adjudication document annotation method and device based on a machine learning algorithm. The method comprises the following steps that: collecting the text set of adjudication documents to be annotated; carrying out structure segmentation on texts in the text set; establishing a semantic tag library; on the basis of the semantic tag library, carrying out manual annotation on the adjudication documents to be annotated; selecting parts of adjudication documents subjected to the manual annotation as a standard dataset to be handed for machine learning, and training andoptimizing a preliminary annotation model; selecting residual parts of adjudication document models subjected to the manual annotation to obtain a mature adjudication document annotation model; and after a target adjudication document to be annotated is segmented, inputting into the mature adjudication document annotation model to obtain an annotation result. Through the method, the problem in the relevant art that adjudication document legal elements are not completely extracted and case information extraction accuracy is low is solved.

A document to be segmented is converted into a common representation format, if necessary. Parsing of the document results in a document model that is analyzed based on at least one structure-dependent function to identify segments within the document. In one embodiment, the structure-dependent function may comprise a template, or a best-fit template of a plurality of templates, used for comparison with the document model. In other embodiments, the structure-dependent function may comprise table of contents information, font properties within the document model and/or an average segment size determined according to previously identified segments in one or more additional documents that are related to the document under consideration. Semantic-content dependent functions may be applied to further refine the analysis by identifying sub-segments within the extracted segments, or by identifying segments that may be properly merged according to the similarity of their respective semantic content.

The invention provides a document processing system and method. And the system comprises document library system, memory, and application software, where the data of the document library are stored in the memory, the document library system and the application software are interconnected through a standard calling interface, and the standard calling interface is defined according to the predefined actions and objects; the operations of the application software on documents are all united into operations on a predefined universal document model and the application software sends out instructions through the standard calling interface to the document library system, and the document library system executes corresponding operations on the document library stored in the memory according to the instructions.

The invention discloses a deep learning intelligent detection method for fishing webpages, which belongs to the technical field of network information safety. The deep learning intelligent detection method comprises the following steps of (1) analyzing webpage document models to generate a webpage document feature vector F; (2) converting the webpages to be measured into images and adopting a spectral clustering method to cut the obtained images; (3) picking up characteristics of webpage images to obtain a webpage content characteristic vector N; (4) using a manifold learning Isomap algorithm to reduce dimensions of the webpage content characteristic vector N so as to obtain a characteristic space Vnew; and (5) training and testing the characteristic space Vnew by using a data base network (DBN) sorter, and judging whether the webpages to be measured are the fishing webpage or not according to results of the DBN sorter. The deep learning intelligent detection method has the advantages that measured characteristic parameter covering is comprehensive. Compared with a test characteristic extraction method, the DBN deep trust network has high detection accuracy and fast detection speed, and detection rate of fishing type attacks is improved.

The invention discloses a document modeling classification method based on a WSD hierarchical memory network. The method comprises the following steps of firstly, obtaining a sentence embedding matrixof the similar sentence texts based on the word vectors through a Bert algorithm to obtain the semantic information between words; secondly, mapping the sentences into the sentence embedding matrix space to obtain the vectorized representation of the sentences; and finally, inputting the sequence data of the sentence-divided document into a BiLSTM model, obtaining the attention weight of each sentence at the same time, obtaining the vectorized representation of the document, and reserving the internal semantic connection of the document. According to the method, the document modeling with thehighest accuracy can be effectively obtained, the hierarchical relationship of the word and sentence cascading is fully considered, the semantic relation in the document modeling is increased, and the document classification with the higher inter-class data similarity is more accurate.

Automatic extraction of objects in a presentation-oriented document comprises receiving the presentation-oriented document (POD) in which content elements are spatially arranged in a given layout organization for presenting contents to human users; receiving a set of descriptors that semantically define the objects to extract from the POD based on attributes comprising the objects; using the set of descriptors to identify content elements in the POD that match the attributes in the set of descriptors defining the objects, and assigning semantic annotations to the identified elements based on the descriptors; creating a semantic and spatial document model (SSDM) containing spatial structures of the identified content elements in the POD and the semantic annotations assigned to the identified contents elements; extracting the identified content elements from the POD based on the set of descriptors and the SSDM to create a set of object instances; and performing at least one of: i) using the object instances to generate semantic and spatial wrappers that can be reused on a different POD, and ii) storing the object instances in a data repository.

A system and process for displaying and redisplaying an HTML document that conforms to the limitations of a viewer's browser. The system comprises a browser, a script, and a document object model (DOM). The script comprises a data structure and an interpretation code. The DOM is a document model representing a Web page's elements, such as text, images, URL links, etc. The process includes using the script to create a document data structure that describes the essential information in the document and using the interpretation code to interpret the data structure in a fashion that allows it to manipulate the DOM for the purpose of rendering the document in the browser. The data structure can be modified and the corresponding HTML can be subsequently regenerated in response to user events so that after initially being created, the document can be updated to reflect changes to the viewer's browser. if the viewer resizes the browser, the page elements can be automatically resized.

A job model with which an organization model representing an organization structure, a document model representing a document structure, and a work model representing a work procedure are correlated, is stored independent from a service model defining each service. When a service is performed, with reference to the job model corresponding to the service model, a service executing module causes a tool control module to control a tool. Thus, the required service is accomplished.

The invention discloses a data leakage prraceion method based on a keyword technology. The method includes the following steps that 1, data investigation is conducted on business processes, and sensitive data that the business processes relate to is found; 2, data leakage risks are evaluated; 3, data is defined, wherein through the keyword technology, various document models under various scenes are defined in advance, a keyword system capable of representing data value is found, data to be detected is scanned, and by judging whether or not keywords are hit, it is judged that whether or not the data to be detected belongs to the sensitive data; 4, sensitive data is monitored and prraceed, and captured malicious attempts and malicious races are processed. By the adoption of the data leakageprraceion method based on the keyword technology, it is ensured that at any position and through any usage mode, the data leakage risks can be effectively reduced, and the work efficiency of data leakage prraceion is improved; safety of non-structured data on a user's terminal is protected, so that data leakage prraceion operation is more standardized and intellectualized.

The invention relates to an interactive query method suitable for multiple big data management systems. The method comprises the steps of 1) building an associated document model, which comprises a document set and an association set, wherein the association set is a set composed of associations among documents; 2) converting different original data models into associated document models, and connecting different data sources integrally through the associated document models; 3) based on the associated document models, establishing a unified query language suitable for multivariate data; and 4) by utilizing the unified query language suitable for the multivariate data, realizing unified query of a relational database, a graph database and a file system. According to the method, the unified query language suitable for the multivariate data management system is proposed for the first time, so that the unified query of the relational database, the graph database and the file system can be realized.

A method and apparatus are disclosed for streaming an XML document/content in a structured manner that allows the receiver to decode prioritized portions of an XML document. Document models, such as XML Schemas, are utilized in converting XML documents into prioritized portions that are transmitted according to a predefined scheme. Thus, the present invention allows the XML receiver to begin processing the most important XML portions of an XML stream first as well as in mid-transmission and allowing a user to end the transmission before lower priority XML portions are received.

A method for creating a global simulation model of an architecture for models of integrated circuits under development, including reading an architecture description file of the global model and storing information related to all of the possible configurations instantiating the components and storing the corresponding information, topologically connecting the interface signals, physically connecting the interface signals, at the level of each instance of the components using a component and connection rule table, and storing the corresponding information, and automatically generating the HDL-type and HLL-type source files of the global simulation model.

A system and associated method for bulk processing of semi-structured results streams from many different resources ingests bytes, parse as many bytes as practical, and return to process additional bytes. The system processes network packets as they arrive from a computing resource, creating intermediate results. The intermediate results are held in a stack until sufficient information is accumulated. The system then merges the intermediate results to form a single document model. As network packets at one connection are consumed by the system, the system can select another connection at which packets are waiting for processing. The processing of a result at a connection can be interrupted while the system processes the results at another connection. In this manner, the system is able to utilize one thread to process many incoming results in parallel.