Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

20415 results about "Data source" patented technology

Metadata management system for an information dispersed storage system

Briefly, the present invention relates to an information dispersal sytem in which original data to be stored is separated into a number of data “slices” in such a manner that the data in each subset is less usable or less recognizable or completely unusable or completely unrecognizable by itself except when combined with some or all of the other data subsets. These data subsets are stored on separate storage devices as a way of increasing privacy and security. In accordance with an important aspect of the invention, a metadata management system stores and indexes user files across all of the storage nodes. A number of applications run on the servers supporting these storage nodes and are responsible for controlling the metadata. Metadata is the information about the data, the data slices or data subsets and the way in which these data subsets are dispersed among different storage nodes running over the network. As used herein, metadata includes data source names, their size, last modification date, authentication information etc. This information is required to keep track of dispersed data subsets among all the nodes in the system. Every time new data subsets are stored and old ones are removed from the storage nodes, the metadata is updated. In accordance with an important aspect of the invention, the metadata management system stores metadata for dispersed data where: The dispersed data is in several pieces. The metadata is in a separate dataspace from the dispersed data. Accordingly, the metadata management system is able to manage the metadata in a manner that is computationally efficient relative to known systems in order to enable broad use of the invention using the types of computers generally used by businesses, consumers and other organizations currently.
Owner:PURE STORAGE

System and method for scheduling broadcast of and access to video programs and other data using customer profiles

InactiveUS6088722AMinimize memory requirementFacilitate text retrievalTelevision system detailsAnalogue secracy/subscription systemsTelevision systemData source
PCT No. PCT / US95 / 15429 Sec. 371 Date Dec. 24, 1997 Sec. 102(e) Date Dec. 24, 1997 PCT Filed Nov. 29, 1995 PCT Pub. No. WO96 / 17467 PCT Pub. Date Jun. 6, 1996A system and method for scheduling the receipt of desired movies and other forms of data from a network, which simultaneously distributes many sources of such data to many customers, as in a cable television system. Customer profiles are developed for the recipient describing how important certain characteristics of the broadcast video program, movie, or other data are to each customer. From these profiles, an "agreement matrix" is calculated by comparing the recipient's profiles to the actual profiles of the characteristics of the available video programs, movies, or other data. The agreement matrix thus characterizes the attractiveness of each video program, movie, or other data to each prospective customer. "Virtual" channels are generated from the agreement matrix to produce a series of video or data programming which will provide the greatest satisfaction to each customer. Feedback paths are also provided so that the customer's profiles and / or the profiles of the video programs or other data may be modified to reflect actual usage, and so that the data downloaded to the customer's set top terminal may be minimized. Kiosks are also developed which assist customers in the selection of videos, music, books, and the like in accordance with the customer's objective profiles.
Owner:FRED HERZ PATENTS

Method and apparatus for storing information in a data processing system

A method for storing data from a data source in a storage device of a data repository by reading all source allocation units, restructuring the data into data units having a size corresponding to the repository allocation units, and generating a hash value for the data of each data unit read from the data source. For each data unit, a data table is searched for a table entry having a matching hash value wherein each table entry contains the hash value of a data unit stored in a repository allocation unit and a repository allocation unit pointer to the corresponding repository allocation unit. When the hash value of a data unit does not match any hash value of any table entry in the data table, the data of the data unit is written into a newly allocated repository allocation unit a new table entry is written to the data table. When the hash value of a data unit matches the hash value of a data entry in the data table, the data of the corresponding repository allocation unit and is compared with the data of the data unit. If the data of the data unit matches the repository allocation unit, the data unit is discarded. If the data of the data unit does not match the corresponding repository allocation unit, the data unit is written into a newly allocated repository allocation unit and a new table entry is inserted into the data table.
Owner:CHRYSALIS STORAGE

Method for presenting hierarchical data

Methods, programs (120) and apparatus (100) are disclosed for accessing and heterogenous data sources (150-153) and presenting information obtained therefrom. Specifically, the data sources may have hierarchical data, which may be presented by identifying a context data node from the data, the context data node having one or more descendent data nodes. At least one data pattern is determined in the descendent data nodes. At least one display type is assigned to the current context data node on the basis of the at least one data pattern. Thereafter, the method presents at least a subset of the descendent data nodes according to one of the assigned display types. Also disclosed is a method of browsing an hierarchically-represented data source. A user operation is interpreted to identify a context data node from the data source, the context data node having one or more descendent data nodes. At least one data pattern in the descendent data nodes is then determined and at least one display type is assigned to the current context data node on the basis of the at least one data pattern. A subset of the descendent data nodes is then presented according to one of the assigned display types, the subset including at least one hyperlink (3401,3402) having as its target a descendant data node of the current context data node. A further user operation is then interpreted to select the at least one hyperlink, the selection resulting in the current context data node being replaced with the data node corresponding to the target of the selected hyperlink. These steps may be repeated until no further hyperlinks to descendent data nodes are included in the subset. Other methods associated with access and presentation are also disclosed.
Owner:CANON KK

Method and apparatus for data communication

A data acquisition and delivery system for performing data delivery tasks is disclosed. This system uses a computer running software to acquire source data from a selected data source, to process (e.g. filter, format convert) the data, if desired, and to deliver the resulting delivered data to a data target. The system is designed to access remote and/or local data sources and to deliver data to remote and/or local data targets. The data target might be an application program that delivers the data to a file or the data target may simply be a file, for example. To obtain the delivered data, the software performs processing of the source data as appropriate for the particular type of data being retrieved, for the particular data target and as specified by a user, for example. The system can communicate directly with a target application program, telling the target application to place the delivered data in a particular location in a particular file. The system provides an external interface to an external context. If the external context is a human, the external interface may be a graphical user interface, for example. If the external context is another software application, the external interface may be an OLE interface, for example. Using the external interface, the external context is able to vary a variety of parameters to define data delivery tasks as desired. The system uses a unique notation that includes a plurality of predefined parameters to define the data delivery tasks and to communicate them to the software.
Owner:E BOTZ COM INC A DELAWARE +2

Method and system for conducting sentiment analysis for securities research

A computer system performs financial analysis on one or more financial entities, which may be corporations, securities, etc., based on the sentiment expressed about the one or more financial entities within raw textual data stored in one or more electronic data sources containing information or text related to one or more financial entities. The computer system includes a content mining search agent that identifies one or more words or phrases within raw textual data in the data sources using natural language processing to identify relevant raw textual data related to the one or more financial entities, a sentiment analyzer that analyzes the relevant raw textual data to determine the nature or the strength of the sentiment expressed about the one or more financial entities within the relevant raw textual data and that assigns a value to the nature or strength of the sentiment expressed about the one or more financial entities within the relevant raw textual data, and a user interface program that controls the content mining search agent and the sentiment analyzer and that displays, to a user, the values of the nature or strength of the sentiment expressed about the one or more financial entities within the data sources. This computer system enables a user to make better decisions regarding whether or not to purchase or invest in the one or more financial entities.
Owner:AIM HLDG LLC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products