104 results about "Web tables" patented technology

A system, method, and computer program product uses an application that allows people who have websites including a webform for making inquiries to manage communications between prospective customers and one or more sales agents. When a webform is submitted, it is routed to a special address (e.g., as an email address, an SMS address, or a social media address such as a Facebook address, a LinkedIn address, a Twitter address or the like) and one or more sales agents are called and prompted to call the prospective customer at a callback number.

Indexing hidden web information. First and second web pages are accessed, which include data organized in table format. The tables from the first and second web page are compared. Based on the comparison, a determination is made as to which table cells contain category labels and which contain instance data. The category labels from the first web page are compared to the category labels from the second web page. A general structure of individual tables is inferred based on the act of comparing the category labels. The general structure is chosen from among standard table templates. Data in two or more web pages organized according to the selected table templates is identified. Data from the two or more web pages is stored by associating the table data from two or more web pages to one or more of the selected table templates.

The present invention relates to a structure recognition based Web table information extraction method. According to the method, table structure recognition is performed in two progressive ways. Firstly, a set of heuristic rules is used to determine structures of several common types of the tables, so as to define structure types of most Web tables; and tables not recognized by using the heuristic rules are processed by using a string matching method, and a matched cell is limited in a line or a column in which a ULC (upper-left-cell) is, so that content on which string matching needs to be performed is significantly reduced, thereby improving matching and recognition efficiency. Finally, in terms of two-dimensional tables, processing strategies of synthesizing cells in an information extraction process is proposed, which can reduce generated redundant data while ensuring that relationships between data in an extraction result are not damaged.

The invention discloses a process which obtains a user interaction data through Web sheets, which is characterized in that generating programs according to user request triggering Web sheets, generating a second identification of a Web sheet input region relative to the first identification of the Web sheet input region, generating the Web sheet according to the second identification of the Web sheet input region, displaying the Web sheet on a user terminal and receiving the sheet data which is inputted by users, replacing the second identification of the Web sheet input region into the first identification of the Web sheet input region to obtain the user interaction data. The invention can effectively prevent the automatic writing of the Web sheet, guarantees the safe operation of a website system and does not need the extra operation which is carried out by users, and the cost and the risk are low.

A method for generating an influence commerce network that facilitates to identify targeted users for promotion of products is provided. The method enables generating a product network using data related to products in an ecommerce website. The generated product network represents product-product links which represent relationship between related products from amongst the products. The method further enables generating a user network using data related to users present in a social networking website. The user network represents community links which represent relationship between users. Furthermore, the method enables analyzing data related to the user network and the product network and connecting the product network and the user network based on the analyzed data to generate an influence commerce network. The influence commerce network represents community-product links that further represents relationship between users in the user network and products in the product network.

The invention discloses an Ethereum phishing fraud detection method and device based on graph classification, and the method comprises the steps: extracting a target node and preset-order neighbor nodes from an Ethereum network, and enabling the preset-order neighbor nodes to comprise a first-order neighbor node and a second-order neighbor node; constructing a second-order transaction sub-graph network taking the target node as a center node according to the first-order neighbor node and the second-order neighbor node; refining the second-order transaction sub-graph network according to the related transaction information data of each node in the second-order transaction sub-graph network to obtain a target transaction sub-graph network; extracting features in the target transaction sub-graph network by adopting a preset graph embedding algorithm to obtain a network representation vector; and inputting the network representation vector into a preset classifier for binary classificationprocessing to obtain a target fishing node. The technical problems that in the prior art, manual feature limitation is obvious, the processing process is complex, and consequently time and operationcost is high can be solved.

The invention discloses a method and device for integrating extracted web table data. The method and device for integrating extracted web table data can improve accuracy of a database formed by integrating the web table data. The method comprises the steps of obtaining a web table corpus; obtaining candidate semantics of each table; calculating inconsistency between the candidate semantics of each table and data semantics; if the inconsistency is larger than a first predetermined threshold, indicating that the candidate semantics of the table is incorrect, utilizing crowdsourcing to confirm the candidate semantics of the table, re-calculating the candidate semantics of the table according to semantic likelihood of the table and crowdsourcing feedback results, and re-calculating the inconsistency; if the inconsistency is larger than a second predetermined threshold and smaller than the first predetermined threshold, utilizing a knowledge base and a crowdsourcing mode to confirm the correctness of data in the table, and re-calculating the inconsistency; if the inconsistency is smaller than the second predetermined threshold, indicating that the candidate semantics of the table is correct, and labeling data in the table; and when it is determined that candidate semantics of all tables is correct, performing mode mapping and data cleaning.

The invention discloses a construction method of a natural scene character region detection model based on no anchor point, and the method comprises the steps: introducing a convolution score for predicting the inclination angle of a boundary frame in a detection mode based on pixels, so as to detect an inclined character in a natural scene; adding deformable convolution DCN into some layers of anetwork backbone, so the ability of the network to express specific features of a text instance is improved, and the receptive field of a text target shape is more flexible; introducing an attention module into the network, so extracted features are filtered, positive information is enhanced, and interference information is suppressed. According to the method, the classification loss, the regression loss CIoU Loss, the centrality loss and the angle loss are used as a joint loss function, so the detection precision is improved, the target frame regression becomes more stable, and meanwhile, a higher convergence speed is achieved.

The invention discloses a non-refreshing table paging sorting achieving method and device, and belongs to the technical field of computers.A Web table assembly is dragged to a web page designer in a visual studio designer in a control mode for use, and attributes of the table are defined in the designer; definition and display of a table can be rapidly completed by judging whether paging is performed or not and whether automatic sorting is performed or not, and determining the single-page recording number, the row alternate color, data source object attributes, table height, a binding field of a designated column changing in each column, the display name, the width, the format and the alignment mode.According to the non-refreshing table paging sorting achieving method and device, the functions of non-refreshing background data loading, automatic paging, automatic sorting, page self-adaption, table head fixation, table editing and the like are achieved.

The present invention extends to methods, systems, and computer program products for computing features of structured data. Aspects of the invention include computing features of table components (e.g., of rows, columns, cells, etc.). Computed features can be used for ranking the table components. When aggregated, features for different components of a table can be used for ranking the table (e.g., a web table).

The invention relates to a community management table generating method which comprises the steps of receiving a table query request which is transmitted by an administrator by means of a terminal, wherein the table query request comprises theme keywords, a parameter and a parameter range; obtaining a table template that corresponds with the theme keywords and community management data which match the parameter and the parameter range according to the table query request; loading the community management data into the table template for generating a community management Web table; and returning the community management Web table to the terminal. The community management report generating method can effectively reduce a table generating time period and improves operation efficiency. Furthermore the invention provides a community management table generating system.

The present invention extends to methods, systems, and computer program products for annotating structured data for search. Aspects of the invention include associating structured data, such as, for example, tables, with additional content to improve indexing of the structured data for search and/or provide improved search results for structured data. Web pages can include tables as well as other content. The other content in a web page, such as, for example, content outside the <table> and </table> tags of a web table, can be useful in supporting searches for web tables. Content in one web page can also be useful in supporting searches for a table in another web page.

The invention discloses a Web table-oriented paired entity joint disambiguation method, which is used for solving a Web table-oriented entity link task. The Web table-oriented entity linking task is to link the entity mentions in the Web table to the entities in the knowledge base in an unambiguous manner. The paired entity joint disambiguation method is designed according to the table characteristics, joint disambiguation is conducted on a pair of entity mentions with the highest confidence coefficient iteratively, and all disambiguation of the entity mentions in the whole table is achieved step by step. The confidence coefficient calculation method comprehensively considers various information, including similarity of entity mention and candidate entities, consistency between linked entities and semantic consistency of rows and columns in a table. In the algorithm iteration process, the linked entities have very high confidence, and effective auxiliary information can be provided for subsequent linking work, so that high-quality joint disambiguation is realized.

A method for reducing a number of copies required to send a data sample with a Data Distribution Service (DDS) type in a system using an Object Management Group (OMG) Data Distribution Service (DDS) and a Real-Time Publish Subscribe (RTPS) protocol is provided. Key to the invention is the definition/creation of a memory representation of the data samples for the DDS type that is equal to the network representation of the data samples for the DDS type. Sending of data samples to the DataReader is accomplished without making a serialization copy of the data samples, and for the receiving the data samples from the DataWriter is accomplished without making a deserialization copy of the data samples. Further, a method is provided for accessing to a network representation of data samples with a DDS type in a system using an OMG DDS and a RTPS protocol.

The invention discloses a network table structure identification method and device, a computer device and a computer readable storage medium, and the method comprises the steps: preprocessing an input HTML file to obtain table related information in the HTML file, the table related information comprising a cell text and the position of a cell, then, using the trained network table structure recognition model for recognizing the network table structure on the basis of the obtained cell text and the position where the cell is located, and since the cell is adopted as the minimum recognition granularity, compared with an existing mode that a table line is adopted as a recognition unit, the accuracy of a recognition result is greatly improved, and the recognition efficiency is improved. And the method can adapt to various complex network table structure identification scenes.

The embodiment of the invention relates to the technical field of information processing, and discloses a brief report generation method and device, electronic equipment and a computer readable storage medium, and the brief report generation method comprises the steps: determining text features of a to-be-generated brief report text, and determining each concept word of the text through a conceptword classification system according to the text features, determining an association relationship among the conceptual words of the text through a conceptual word relationship classification system;then, a tree-shaped knowledge network model being generated according to the knowledge network and the text structure of the text, and the knowledge network being generated according to the concept words and the incidence relation between the concept words; then, based on a tripartite deep network representation TriDNR algorithm, a Node2Vec algorithm and a TransE model, generating a network representation learning model according to the tree-shaped knowledge network model; and then generating a brief report according to the network representation learning model and the tree knowledge network model.

A computer-implemented process receives, during a telehealth conference, an interpreter invitation according to a modality generated through a user interface at a provider computing device operated by the healthcare provider. An example of a modality is a web form, email, hyperlink, phone call via an interactive voice recognition system, mobile software application, desktop tool tray software application, text message, calendar invitation, QR code, or the like. The computer-implemented process routes the interpreter invitation from the telehealth platform to a language interpretation platform that extracts an invitation request payload from the interpreter invitation and routes the invitation request payload, through an automatic call distribution network, to a next available language interpreter operating a language interpreter workstation such that the language interpreter workstation automatically selects a plugin according to a teleconference platform indicated by the invitation request payload.