149 results about "Structured content" patented technology

A method and system that dynamically ranks electronic messages based on their situational and inherent dimensions, which are judged by a set of filters. These filters evaluate the different elemental metadata constituting a message and produce a priority value based on filters relevance and importance. The system iterates through queued messages, examine the structured content for expected attributes, statistically analyze unstructured content, apply dynamically weighted rules and policies to deliver a priority ranking, and then display the message and its vital attributes in accordance with the priority ranking. The system also adaptive learns and adjusts its weighted rules and policies to permit priority ranking to change on real-time or interval-based (may be user-defined) schedule. The system includes a GUI for increasing reading and processing efficiency. The GUI performs supervised and unsupervised learning from the user's behaviors, and displays messages in accordance with their priority classification.

A method and apparatus are disclosed for transforming information from one semantic environment to another. In one implementation, a SOLx system includes a Normalization / Translation NorTran Workbench and a SOLx server. The NorTran Workbench is used to develop a knowledge base based on information from a source system, to normalize legacy content according to various rules, and to develop a database of translated content. During run time, the SOLx server receives transmissions from the source system, normalizes the transmitted content, accesses the database of translated content and otherwise translates the normalized content, and reconstructs the transmission to provide substantially real-time transformation of electronic messages.

A financial-service system that manages content objects includes a chronicles platform with a chronicle associated with a loan request. A content manager determines a set of content objects to be associated with the chronicle and generates a bucket for each content object of the set of content objects. Each bucket is associated with a name and is configured to receive an associated content object. The chronicle is populated with the generated buckets. An interface that detects a user action and that thereafter receives or generates a content object, which is detected by the content manager and associated with a bucket. The content manager causes the bucket to receive the content object and presents representations of the buckets to a user. Representations of one or more buckets that have received a content object differ from representations of one or more other buckets that have not received a content object.

Content from a web page, such as text, music graphics etc. is assimilable by a plurality of classes of device, such as PDA, mobile phone and desktop computer. The content is initially authored to include machine readable structural information reflecting structure in the substance of the content, such as chapters, and instructions on the preferred manner the author wishes to see the content presented to the author. This structure is embedded in the content using a device independent markup language. The structured content is then filtered for different classes of device to remove aspects of the preferred presentation which are not possible to replicate on a particular class of device, and the markup code is then modified where appropriate to tranform and instructions not supported by the device on which the content is to be manifested. Finally and dynamic content, such as values which are context dependent, for example the time of day of accessing the web page are augment the adapted content, and final minor adjustments to the adapted content are made to account for the specification of the individual device requesting the content.

The present invention pertains to systems, methods and computer program product that allows businesses, governments and other organizations to quickly and easily develop content in a customizable format that can be delivered within a wireless network. A wireless content delivery engine adapts content to a variety of formats suited to mobile and portable device platforms. More particularly, the present invention provides a structured content system which uses an array of wireless technologies to deliver context (time, location, and people) sensitive information to users in a defined geographic area through one or more wireless technologies including wireless fidelity and wireless telephony.

A content mining system and process utilizes a combination of term recognition and rules-based activity-event classification, performed using a modular database that defines one or more vertical markets or information sectors, to identify sector relevant evidence. The primary elements of the identified evidence are scored in a manner that rates the relevance of a content item with respect to a set of identified nominative entities, a set of activity-based event categories, further associated as sets of entity-event pairs. A database constructed of the scored information provides a relevancy indexed repository of the original unstructured content items.

Systems, computer implemented methods and computer program products are provided for selectively capturing and / or evaluating information including content and metadata from across a network such as the “wide world web” (WWW), or more generally, the Internet. A deep web mining tool may be utilized to exploit the deep web by understanding forms, search engines and results pages. Moreover, deep web mining tool may be utilized to extract and exploit structured and unstructured content and metadata from web sites and documents, generate queries, capture and re-link web sites, crawl through web sites and non-HTML files and perform other aspects of obtaining and / or evaluating information.

A predictive modeling system and methodology makes predictions using unstructured content as an input, either alone or in conjunction with structured content. Content transformation rules are selected for application to the unstructured content, such as emails, call center notes, and other forms of human communication, by identifying the rules that are likely to improve the performance of a predictive modeling system.

A predictive modeling system and methodology makes predictions using unstructured content as an input, either alone or in conjunction with structured content. Content transformation rules are selected for application to the unstructured content, such as emails, call center notes, and other forms of human communication, by identifying the rules that are likely to improve the performance of a predictive modeling system.

A system and method for displaying and navigating through structured content, such as a webpage, is provided. The content includes focusable elements, at least one of which is a non-enableable element that is normally not capable of gaining focus when the content is displayed in a browser or other viewing application. Navigation of the content by moving focus from one element to another includes moving the focus to the focusable, non-enableable element. The non-enableable element is defined as a focusable element by an attribute. Focusable elements may also be defined with attributes for capturing directional navigation instructions and calling event handling functions in response to detected directional navigation instructions.

A system, program product, and methodology automatically scores candidate answers to questions in a question and answer system. In the candidate answer scoring method, a processor device performs one or more of receiving one or more candidate answers associated with a query string, the candidates obtained from a data source having semi-structured content; identifying one or more documents with semi-structured content from the data source having a candidate answer; and for each identified document: extracting one or more entity structures embedded in the identified document; determining a number of the entity structures in the identified document that appear in the received input query; and, computing a score for a candidate answer in the document as a function of the number Overall system efficiency is improved by giving the correct candidate answers higher scores through leveraging context-dependent structural information such as links to other documents and embedded tags.

The system of knowledge architecture transforms knowledge of an expert by capturing the knowledge as structured content; and using the structured content in a software format. Knowledge is captured by mapping the structured content into topics and questions and / or a structured document, inputting said structured content, and storing said structured content. The structured content is then prepared for use as a specialized software application, next the prepared structured content is presented to a user where interaction with a user in a software format causes the forming of a narrative end-product based upon the data structure that communicates the findings and opinions of the expert knowledge.

The present invention provides for a system and method of assigning attribute scores, including those for abstract and diverse concepts such as sentiment (e.g., happiness, anger, sadness) to documents containing unstructured content (natural language content). Such content may include, but is not limited to, Web pages, e-mails, word processing documents, computer logs, chat logs, audio files, graphical images, text files, books, magazines, articles, etc. The attributes that are scored are specialized views of the unstructured content. Accordingly, attribute scoring denotes the processes of assigning one or more new measures to a document containing unstructured content. The attribute score or measure indicates the degree of the attributes found within the document.

A navigation system is used in combination with a data retrieval system to more effectively locate the correct answers or information in search content. The navigation system provides taxonomies that identify different information categories and sub-categories (facets). Classifiers automatically classify the search content by identifying the content corresponding with associated facets. The facets, in conjunction with the associated classifiers, provide robust classification and correlation between both structured and unstructured content. Rules can be used in conjunction with the facets and classifiers to automatically control different navigation operations. The navigation system can also leverage ontologies to dynamically create taxonomies and provides unique facet expansion and intra-document classification operations.

Brokering requests between a user and a content provider. Methods include receiving, at the middleware system, a request for data from a user that is formatted in a first request format and requests data from a content provider. The request is translated to a second request format that is compatible with the content provider and sent to the content provider. A response is received from the content provider that includes hierarchically-structured content. The hierarchically-structured content is converted into tabular content by performing first queries on the hierarchically-structured content to identify repeating nodes, and mapping the repeating nodes to rows in the tabular format, and by performing second queries on the hierarchically-structured content to identify individual columns in the tabular format.

The invention provides a method for intelligently extracting a document structure. The method comprises the following steps of: analyzing a document sample and establishing an extraction rule and corresponding structured key words; and extracting document contents by using an extraction rule established for the document of a structure to be extracted so as to form structured contents expressed according to the structured key words. Correspondingly, the invention provides a system for intelligently extracting the document structure. The system comprises a document input unit, an analysis unit,a structured unit, a user setting interface and a document output unit. Certain simple extraction rules are set according to attributes such as styles (including character styles and paragraph styles), character attributes, character contents, title levels and the like in a document, and structured information in the document is intelligently extracted according to the rules, so that structured automatic processing of any document format is realized. On the other hand, an extraction rule can be set by a user through simple operation, and high flexibility is achieved.

The invention provides a system that automates workforce management tasks through the integrated use of structured content accessible from a database, a set of business logic rules engines as well as input from users via user interfaces. The invention also provides a methodology for creating engineered content which is accessible to a strategic workforce management system which manages human resources tasks.

Apparatus for generation of playable media from structured data, comprises a structured data reading unit for reading in of content of a first structure, a transformation unit for transforming said content into a second structure, said transformation comprising incorporating media play instructions, and a rendering unit for rendering content from the second structure using said media play instructions to generate playable media from the content.

Various embodiments of a system, methods, platform, database, search engine & device for identifying search result associate unique identity or extracting unique identity based on parsing search result associated Uniform Resource Locator (URL) or web address or metadata, automatically determining or preparing or generating query based on said identified unique identity and automatically executing said query to automatically search, identify, invoke or retrieve or generate said identified unique identity associated one or more types of structured contents, structured data or structured website. In an embodiment enable to create and manage standardized, compact, searchable and search result compatible structured site or website including pages or webpages or GUIs or categories or categories of posts, and associated one or more types of contents including posts, structured contents, user actions and reaction controls or GUIs and presenting said structured contents with corresponding search result item based on search result item associated domain name of website associated user or account or source.

The system and method of the present disclosure relates to automatically extracting linked node graph data structures from unstructured content. A configurable semantic natural NLP extraction platform structures content from unstructured data to determine the sematic meaning of content. Users generate configurations for an area or topic of interest, and query the system with the configuration to extract content from unstructured content. Based on the extracted content, an ontology is constructed for entities and activities, and entity and activity objects are identified within the unstructured content by applying a set of content extraction entity and activity rules. Application of the rules results in generation of a list of entity and activity words that satisfy the respective rules. Relationships between the entity and activity words are identified, and a linked data structure is formed as the linked node graph data structure.

A software application to assist human operators to efficiently correct errors in electronic books (eBooks) is described. The application presents the operator with a graphical user interface (GUI) including a page image of a source document (e.g., a printed publication) alongside a rendition of structured content extracted from the page image. The operator can make a structural change as well as a low-level text change in the rendition by issuing an editing command through the GUI. The editing command is sent to a server hosting an intermediate document for the source document and the page image. The server modifies the intermediate document by applying the editing command, and transmits to the application an updated rendition generated based on the modified intermediate document. The application displays the updated rendition to reflect the change made in response to the editing command.