Determining Related Data Points from Multi-Modal Inputs
First Claim
1. A method comprising:
- collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension;
determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension; and
identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension;
wherein at least one of the steps is carried out by a computer device.
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Abstract
Techniques, systems, and articles of manufacture for determining related data points from multi-modal inputs. A method includes collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension, determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension, and identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension.
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Citations
20 Claims
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1. A method comprising:
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collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension; determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension; and identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension; wherein at least one of the steps is carried out by a computer device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. An article of manufacture comprising a computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising:
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collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension; determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension; and identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension.
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18. A system comprising:
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a memory; and at least one processor coupled to the memory and configured for; collecting multiple items of multi-modal data comprising at least one dimension from multiple data sources, wherein said at least one dimension comprises a geographic dimension, a temporal dimension and/or an event-related dimension; determining a window of relevance for each of the multiple items of multi-modal data with respect to the at least one dimension; and identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to the at least one dimension. - View Dependent Claims (19)
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20. A method comprising:
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collecting multiple items of multi-modal data comprising multiple dimensions from multiple data sources, wherein said multiple dimensions comprise a geographic dimension, a temporal dimension and an event-related dimension; determining a window of relevance for each of the multiple items of multi-modal data with respect to each of the multiple dimensions; identifying two or more of the multiple items of multi-modal data as related, by determining an overlap of the window of relevance corresponding to each of the two or more items of multi-modal data with respect to at least two of the multiple dimensions; and generating an alert based on the content of the two or more related items of multi-modal data; wherein at least one of the steps is carried out by a computer device.
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Specification