Smart Updates From Historical Database Changes

    公开(公告)号:US20190340303A1

    公开(公告)日:2019-11-07

    申请号:US16135924

    申请日:2018-09-19

    Applicant: Apple Inc.

    Abstract: A memory management system which can effectively determine whether, when, and to what extent, to modify a graph database based on changes in a paired relational database storing various data like media assets, such as photos and videos. The media assets are associated with data objects, such as moments, events, and people. The memory management system also includes one or more knowledge graph metadata networks (or more simply “knowledge graphs”). The knowledge graph(s) store information which is related to the data stored by the relational databases. The memory management system detects changes in the data and data objects stored by the relational database(s). The memory management system can translate detected changes into modification instructions for the knowledge graph. The memory management system can also determine that it is unnecessary to modify the knowledge graph due to a detected change.

    Knowledge graph metadata network based on notable moments

    公开(公告)号:US10324973B2

    公开(公告)日:2019-06-18

    申请号:US15391276

    申请日:2016-12-27

    Applicant: Apple Inc.

    Abstract: Techniques of generating a knowledge graph metadata network (metadata network) for digital asset management (DAM) are described. A DAM logic/module can obtain one or more first metadata assets describing characteristics associated with digital assets (DAs) in the DA collection. The DAM logic/module can also determine second metadata asset(s) and third metadata asset(s) describing characteristics associated with DAs in the DA collection based on the first metadata asset(s). The DAM logic/module can generate at least some of the metadata assets as nodes in a metadata network associated with the DA collection. The DAM logic/module can also determine, for at least two of the metadata assets, a correlation between the at least two metadata assets. The DAM logic/module can generate an edge in the metadata network between the nodes that represent the at least two metadata assets to represent the determined correlation.

    RELATING DIGITAL ASSETS USING NOTABLE MOMENTS

    公开(公告)号:US20170357672A1

    公开(公告)日:2017-12-14

    申请号:US15391280

    申请日:2016-12-27

    Applicant: Apple Inc.

    Abstract: Techniques of relating at least two digital assets based on digital asset management (DAM) are described. A DAM logic/module can obtain a knowledge graph metadata network (metadata network) of metadata associated with a collection of digital assets (DA collection). The metadata network comprises correlated metadata assets. Each metadata asset is represented a node in the metadata network. A correlation between metadata assets is represented as an edge in the metadata network. The DAM logic/module can select a first metadata asset using the metadata network. The DAM logic/module can also determine that the first metadata asset is associated with a second metadata asset. The DAM logic/module can identify a third metadata asset based on at least one of the first metadata asset or the second metadata asset. The DAM logic/module can cause one or more DAs associated with the third metadata asset to be presented via an output device.

    NOTABLE MOMENTS IN A COLLECTION OF DIGITAL ASSETS

    公开(公告)号:US20170357644A1

    公开(公告)日:2017-12-14

    申请号:US15391269

    申请日:2016-12-27

    Applicant: Apple Inc.

    Abstract: Techniques of digital asset management (DAM) are described. A DAM logic/module can obtain a knowledge graph metadata network (metadata network) of metadata associated with a collection of digital assets (DA collection). The metadata network can comprise correlated metadata assets describing characteristics associated with digital assets (DAs) in the DA collection. Each metadata asset can be represented as a node in the metadata network. Each correlation between two metadata assets can be represented in the metadata network as an edge between the nodes representing the two metadata assets. The DAM logic/module can identify a first metadata asset using the metadata network. The DAM logic/module can also identify a second metadata asset based at least on the first metadata asset. Furthermore, the DAM logic/module can cause one or more DAs associated with at least one of the first or second metadata assets to be presented via an output device.

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