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

4883 results about "SQL" patented technology

SQL (/ˌɛsˌkjuːˈɛl/ S-Q-L, /ˈsiːkwəl/ "sequel"; Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful in handling structured data, i.e. data incorporating relations among entities and variables.

Distributed real time speech recognition system

InactiveUS20050080625A1Facilitates query recognitionAccurate best responseNatural language translationData processing applicationsFull text searchTime system
A real-time system incorporating speech recognition and linguistic processing for recognizing a spoken query by a user and distributed between client and server, is disclosed. The system accepts user's queries in the form of speech at the client where minimal processing extracts a sufficient number of acoustic speech vectors representing the utterance. These vectors are sent via a communications channel to the server where additional acoustic vectors are derived. Using Hidden Markov Models (HMMs), and appropriate grammars and dictionaries conditioned by the selections made by the user, the speech representing the user's query is fully decoded into text (or some other suitable form) at the server. This text corresponding to the user's query is then simultaneously sent to a natural language engine and a database processor where optimized SQL statements are constructed for a full-text search from a database for a recordset of several stored questions that best matches the user's query. Further processing in the natural language engine narrows the search to a single stored question. The answer corresponding to this single stored question is next retrieved from the file path and sent to the client in compressed form. At the client, the answer to the user's query is articulated to the user using a text-to-speech engine in his or her native natural language. The system requires no training and can operate in several natural languages.
Owner:NUANCE COMM INC

System and methodology for dynamic application environment employing runtime execution templates

A dynamic application environment or system is described that includes a client, a run-time system, and a back-end database. The client comprises a workstation or desktop PC running browser software, such as Microsoft Internet Explorer or Netscape Navigator. The back-end database comprises a back-end (e.g., server-based) database system, such as an SQL-based database system. The run-time system includes a collection or repository module for storing “presentation templates,” a Template Services Module or engine, a Template Parameters Module, and a Database Accessor Module. The presentation templates are employed for presentation of the application to the user interface (at the client). At application run-time, the templates are provided to the Template Services Module, which includes a Template Manager and a Template Parser. These provide generic processing of the templates, which may be assembled to complete a finished product (i.e., run-time application). For instance, the Template Services Module knows how to load and parse a template and then look up its parameters, regardless of the application-specific details (e.g., user interface implementation) embodied by the template. In use, the system is deployed with presentation templates that represent the various client views of the target application, for the various platforms that the application is deployed to. In this manner, when new functionality needs to be added to the system, it may simply be added by expanding the run-time library portion of the system.
Owner:INTELLISYNC CORP

Database querying system and method

A database querying system to facilitate the retrieval of desired data from a database including information categories, the system including a plurality of object data items categorized in one information category and a plurality of object data items categorized in another information category. A processor assembly responsive to a user query is also provided and is structured to identify the desired data from the user query. A relationship category defined by relationships between the object data items of the information categories is further provided, the user query including a relationship identifier corresponding the relationship category so as to simplify syntax of the user query. Interpretation of relational-database query and data manipulation languages against non-relational schemas, including conceptual, semantic, object-relational, or object-oriented database schemas, by regarding the schemas as representing virtual relational databases with every class replaced by a virtual table comprised of all the attributes reachable from the class by a chain of relations. The interpretation allows concise and simple querying of non-relational and relational databases in a languages originally intended only for relational databases. The system further provides for wrapping of a relational database into a semantic conceptual schema so as to allow formulation of queries in SQL against the wrapping schema, reducing the size of SQL queries.
Owner:GULA CONSULTING 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