4906 results about "Data-driven" patented technology

Controlled devices according to a device control model maintain a state table representative of their operational state. Devices providing a user control point interface for the controlled device obtain the state table of the controlled device, and may also obtain presentation data defining a remoted user interface of the controlled device and device control protocol data defining commands and data messaging protocol to effect control of the controlled device. These user control devices also subscribe to notifications of state table changes, which are distributed from the controlled device according to an eventing model. Accordingly, upon any change to the controlled device's operational state, the eventing model synchronizes the device's state as represented in the state table across all user control devices.

A method and apparatus for intelligently routing and managing audio signals within an electronic device is disclosed. The routing is responsive to a set of logical and physical policies which are stored in data tables which can be updated as needed.

A data-driven, hierarchical information search and navigation system and method enable search and navigation of sets of materials by certain common attributes that characterize the materials. A rules engine provides for manipulation of the content displayed to the user based on the query entered by the user. The rules engine includes one or more rules with a trigger and an action. The action of a rule is performed only if the trigger is satisfied. A trigger may be specified in terms of expressions of attribute-value pairs and is evaluated against a given query or navigation state. The actions can include various techniques for content manipulation, such as supplementing content, rendering content in a particular way, and sorting content in a particular way. An action may be specified in terms of navigation states. The rules engine may include a script for processing the rules.

A multi-source multi-tenant reference data utility and methods for forming and maintaining the same, delivering high quality reference data in response to requests from clients, implemented using a shared infrastructure, and also providing added value services using the client's reference data. Included are data cleansing and quality assurance of the received data with full tracking of the sourcing of each value, storage of resulting entity values in a repository which allows retrievals and enforces source based entitlements, and delivery of retrieved data in the form of on demand datasets supporting a wide range of client application needs. An advantageous implementation has additional services for reporting on data quality and usage, a selection of value adding data driven computations and business document storage. By using a shared infrastructure and amortizing the costs of data quality assurance across a plurality of clients, while ensuring that clients only receive values from data sources to which they are licensed, better quality data at lower cost is delivered.

A data driven discrete parallel processing computing system for searches with a key-ordered list of data objects distributed over a plurality of servers. The invention is a data-driven architecture for distributed segmented databases consisting of lists of objects. The database is divided into segments based on content and distributed over a multiplicity of servers. Updates and queries are data driven and determine the segment and server to which they must be directed avoiding broadcasting. This is effective for systems such as search engines. Each object in the list of data objects must have a key on which the objects can be sorted relative to each other. Each segment is self-contained and doesn't rely on a schema. Multiple simultaneous queries and simultaneous updates and queries on different segments on different servers result in parallel processing on the database taken as a whole.

A first primary display window displays first primary objects linked to a scope window. A second primary display window displays second primary objects linked to the scope window. The second primary objects are independent of the first primary objects. One or more secondary display windows display secondary objects linked to one of the primary display windows. A secondary display window may be linked to the scope window so that the secondary objects displayed in the secondary display window are linked to the scope window. Data to create a window may be query-driven and the window type may be data-driven. Window type may be changed after creation and windows may be docked to each other to prevent overlap. Windows may link back to the scope window.

A virus detection system (VDS) (400) operates under the control of P-code to detect the presence of a virus in a file (100) having multiple entry points. P-code is an intermediate instruction format that uses primitives to perform certain functions related to the file (100). The VDS (400) executes the P-code, which provides Turing-equivalent capability to the VDS. The VDS (400) has a P-code data file (410) for holding the P-code, a virus definition file (VDF) (412) for holding signatures of known viruses, and an engine (414) for controlling the VDS. The engine (414) contains a P-code interpreter (418) for interpreting the P-code, a scanning module (424) for scanning regions of the file (100) for the virus signatures in the VDF (412), and an emulating module (426) for emulating entry points of the file. When executed, the P-code examines the file (100), posts (514) regions that may be infected by a virus for scanning, and posts (518) entry points that may be infected by a virus for emulating. The P-code can also detect (520) certain viruses algorithmically. Then, the posted regions and entry points of the file (100) are scanned (526) and emulated (534) to determine if the file is infected with a virus. This technique allows the VDS (400) to perform sophisticated analysis of files having multiple entry points in a relatively brief amount of time. In addition, the functionality of the VDS (400) can be changed by changing the P-code, reducing the need for burdensome engine updates.

A data-driven, hierarchical information search and navigation system and method enable search and navigation of sets of documents or other materials by certain common attributes that characterize the materials. The invention includes several aspects of a data-driven, hierarchical search and navigation system that employs this search and navigation mode. The search and navigation system of the present invention includes features of an navigation interface, a search interface, a knowledge base and a taxonomy definition process and a classification process for generating the knowledge base, a graph-based navigable data structure and method for generating the data structure, World Wide Web-based applications of the system, and methods of implementing the system. Users are able to search or browse a particular collection of documents by selecting desired values for the attributes or by searching the attribute-value pairs. A data-driven, hierarchical information search and navigation system and method enable this navigation mode by associating terms with the materials, defining a set of hierarchical relationships among the terms, providing a guided navigation mechanism based on the relationship between the terms, and providing a search mechanism that can respond to free-text queries with single-term or multi-term interpretations. In another aspect of the invention, implementations of the invention may be scalable through parallel or distributed computation.

Data-driven guarded evaluation of conditional-data associated with data objects is used to control activation and processing of the data objects in an interactive geographic information system. Methods of evaluating conditional-data to control activation of the data objects are disclosed herein. Data-structures to specify conditional data are also disclosed herein.

Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.

Pronunciation for an input word is modeled by generating a set of candidate phoneme strings having pronunciations close to the input word in an orthographic space. Phoneme sub-strings in the set are selected as the pronunciation. In one aspect, a first closeness measure between phoneme strings for words chosen from a dictionary and contexts within the input word is used to determine the candidate phoneme strings. The words are chosen from the dictionary based on a second closeness measure between a representation of the input word in the orthographic space and orthographic anchors corresponding to the words in the dictionary. In another aspect, the phoneme sub-strings are selected by aligning the candidate phoneme strings on common phoneme sub-strings to produce an occurrence count, which is used to choose the phoneme sub-strings for the pronunciation.

Embodiments of the invention provide systems and methods for managing and processing large amounts of complex and high-velocity data by capturing and extracting high-value data from low value data using big data and related technologies. Illustrative database systems described herein may collect and process data while extracting or generating high-value data. The high-value data may be handled by databases providing functions such as multi-temporality, provenance, flashback, and registered queries. In some examples, computing models and system may be implemented to combine knowledge and process management aspects with the near real-time data processing frameworks in a data-driven situation aware computing system.

Aggregate scoring is used to help classify digital content such as content uploaded to multi-user websites (e.g., social networking websites). In one embodiment, specific categories are used that relate to a social implication of content. For example, text, images, audio or other data formats can provide communication perceived to fall into categories such as violent, abusive, rights management, pornographic or other types of communication. The categories are used to provide a raw score to items in various groupings of a site's content. Where items are related to other items such as by organizational, social, legal, data-driven, design methods, or by other principles or definitions, the related items' raw scores are aggregated to achieve a score for a particular grouping of items that reflects, at least in part, scores from two or more of the related items.

Disclosed are systems, methods and computer-readable media for controlling a computing device to provide contextual responses to user inputs. The method comprises receiving a user input, generating a set of features characterizing an association between the user input and a conversation context based on at least a semantic and syntactic analysis of user inputs and system responses, determining with a data-driven machine learning approach whether the user input begins a new topic or is associated with a previous conversation context and if the received question is associated with the existing topic, then generating a response to the user input using information associated with the user input and any previous user input associated with the existing topic.