Evaluating XML Full Text Search
    7.
    发明申请

    公开(公告)号:US20210109967A1

    公开(公告)日:2021-04-15

    申请号:US17129085

    申请日:2020-12-21

    Abstract: Techniques are described to improve query evaluation in computer systems. In an embodiment, a system receives a full text query for evaluation against a collection of hierarchically marked data object sets. The query specifies token(s) and context(s) which indicate hierarchical location(s) to match within a queried hierarchical data structure. To evaluate the query, the system determines a) data object set(s) that contain the query specified token(s) using token list(s), and/or b) data object set(s) that contain the query specified context(s) using label list(s).

    Knowledge-intensive data processing system

    公开(公告)号:US10740358B2

    公开(公告)日:2020-08-11

    申请号:US14665171

    申请日:2015-03-23

    Abstract: 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.

    TECHNIQUE OF COMPREHENSIVELY SUPPORT AUTONOMOUS JSON DOCUMENT OBJECT (AJD) CLOUD SERVICE

    公开(公告)号:US20200210398A1

    公开(公告)日:2020-07-02

    申请号:US16690817

    申请日:2019-11-21

    Abstract: The present invention relates to autonomous tuning of a data grid of documents in a database. Herein are techniques for storage cells to autonomously maintain local indices and other optimization metadata and algorithms to accelerate selective access into a distributed collection of documents. In an embodiment, each storage cell persists a respective subset of documents. Each storage cell stores, in memory, respective index(s) that map each item to location(s), in one or more documents of the respective subset of documents, where the item occurs. One or more computers execute, based on at least a subset of the indices of the storage cells, a data access request from a database management system. In an embodiment, a cloud of JSON document services provides an easy-to-use, fully autonomous JSON document database that horizontally and elastically scales to deliver fast execution of document transactions and queries without needing tuning by a database administrator.

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