Knowledge graph metadata network based on notable moments
First Claim
1. A computer-implemented method for generating a metadata network for digital asset management, comprising:
- obtaining, by a processor, a collection of metadata assets describing characteristics associated with digital assets (DAs) in a DA collection;
identifying one or more first metadata assets in the collection of metadata assets, wherein each first metadata asset comprises a moment;
generating nodes in the metadata network to represent at least some of the metadata assets associated with the DA collection;
determining, for at least two of the metadata assets, a correlation between the at least two metadata assets, wherein determining the correlation between the at least two metadata assets includes determining, for at least one of the at least two metadata assets, at least one confidence weight, wherein the at least one confidence weight is indicative of an estimated level of certainty that an element of one or more DAs has been properly identified by a corresponding metadata asset;
determining, for at least one of the at least two metadata assets, a relevance weight, wherein the relevance weight is indicative of an importance of the at least one of the at least two metadata assets, and wherein the relevance weight is configured to change over time based, at least in part, on a number of detections of the at least one of the at least two metadata assets in the metadata network; and
generating an edge in the metadata network between the nodes that represent the at least two metadata assets, the edge representing the determined correlation.
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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.
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Citations
18 Claims
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1. A computer-implemented method for generating a metadata network for digital asset management, comprising:
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obtaining, by a processor, a collection of metadata assets describing characteristics associated with digital assets (DAs) in a DA collection; identifying one or more first metadata assets in the collection of metadata assets, wherein each first metadata asset comprises a moment; generating nodes in the metadata network to represent at least some of the metadata assets associated with the DA collection; determining, for at least two of the metadata assets, a correlation between the at least two metadata assets, wherein determining the correlation between the at least two metadata assets includes determining, for at least one of the at least two metadata assets, at least one confidence weight, wherein the at least one confidence weight is indicative of an estimated level of certainty that an element of one or more DAs has been properly identified by a corresponding metadata asset; determining, for at least one of the at least two metadata assets, a relevance weight, wherein the relevance weight is indicative of an importance of the at least one of the at least two metadata assets, and wherein the relevance weight is configured to change over time based, at least in part, on a number of detections of the at least one of the at least two metadata assets in the metadata network; and generating an edge in the metadata network between the nodes that represent the at least two metadata assets, the edge representing the determined correlation. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A non-transitory computer readable medium comprising instructions for generating a metadata network for digital asset management, which when executed by one or more processors, cause the one or more processors to:
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obtain a collection of metadata assets describing characteristics associated with digital assets (DAs) in a DA collection; identify one or more first metadata assets in the collection of metadata assets, wherein each first metadata asset comprises a moment; generate nodes in the metadata network to represent at least some of the metadata assets associated with the DA collection; determine, for at least two of the metadata assets, a correlation between the at least two metadata assets, wherein determining the correlation between the at least two metadata assets includes determining, for at least one of the at least two metadata assets, at least one confidence weight, wherein the at least one confidence weight is indicative of an estimated level of certainty that an element of one or more DAs has been properly identified by a corresponding metadata asset; determine, for at least one of the at least two metadata assets, a relevance weight, wherein the relevance weight is indicative of an importance of the at least one of the at least two metadata assets, and wherein the relevance weight is configured to change over time based, at least in part, on a number of detections of the at least one of the at least two metadata assets in the metadata network; and generate an edge in the metadata network between the nodes that represent the at least two metadata assets, the edge representing the determined correlation. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A processing system for generating a knowledge graph metadata network for digital asset management, comprising:
one or more processors configured to; obtain a collection of metadata assets describing characteristics associated with digital assets (DAs) in a DA collection; identify one or more first metadata assets in the collection of metadata assets, wherein each first metadata asset comprises a moment; generate nodes in the metadata network to represent at least some of the metadata assets associated with the DA collection; determine, for at least two of the metadata assets, a correlation between the at least two metadata assets, wherein determining the correlation between the at least two metadata assets includes determining, for at least one of the at least two metadata assets, at least one confidence weight, wherein the at least one confidence weight is indicative of an estimated level of certainty that an element of one or more DAs has been properly identified by a corresponding metadata asset; determine, for at least one of the at least two metadata assets, a relevance weight, wherein the relevance weight is indicative of an importance of the at least one of the at least two metadata assets, and wherein the relevance weight is configured to change over time based, at least in part, on a number of detections of the at least one of the at least two metadata assets in the metadata network; and generate an edge in the metadata network between the nodes that represent the at least two metadata assets, the edge representing the determined correlation. - View Dependent Claims (14, 15, 16, 17, 18)
Specification