SEMANTICS GRAPHS FOR ENTERPRISE COMMUNICATION NETWORKS
First Claim
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1. A method for building a semantics graph for an enterprise communication network, comprising:
- calculating a distance metric between a first signifier and a second signifier associated with the enterprise communication network, wherein the distance metric includes a plurality of relationships defined based on a frequency of co-occurrences of the first signifier and the second signifier using a computing device; and
building a semantics graph for the enterprise communication network using the calculated distance metric.
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Abstract
Building a semantics graph for an enterprise communication network can include calculating a distance metric between a first signifier and a second signifier associated with an enterprise communication network, wherein the distance metric includes a plurality of relationships defined based on a frequency of co-occurrences of the first signifier and the second signifier, and building a semantics graph for the enterprise communication network using the calculated distance metric.
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Citations
15 Claims
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1. A method for building a semantics graph for an enterprise communication network, comprising:
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calculating a distance metric between a first signifier and a second signifier associated with the enterprise communication network, wherein the distance metric includes a plurality of relationships defined based on a frequency of co-occurrences of the first signifier and the second signifier using a computing device; and building a semantics graph for the enterprise communication network using the calculated distance metric. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A non-transitory computer-readable medium storing a set of instructions executable by a processing resource, wherein the set of instructions can be executed by the processing resource to:
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calculate a ratio of co-related services associated with a first signifier and a second signifier associated with an enterprise communication network; calculate a ratio of co-related phrases associated with the first signifier and the second signifier; average a location of the first signifier and the second signifier on a enterprise network; and build a semantics graph for the enterprise communication network using a distance metric between the first signifier and the second signifier, wherein the distance metric is defined using the ratio of co-related services, the ratio of co-related phrases, and the average location. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A system for building a semantics graph for an enterprise communication network comprising:
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a processing resource; and a memory resource communicatively coupled to the processing resource containing instructions executable by the processing resource to; extract a plurality of signifiers from an enterprise network using an extraction tool; define a distance metric between pairs of related signifiers among the plurality of signifiers, wherein defining a distance metric between each pair of related signifiers includes; calculate a ratio of co-related services associated with both a first signifier and a second signifier and services related independently to the first signifier and services related independently to the second signifier; calculate a ratio of co-related phrases associated with both the first signifier and the second signifier and phrases related independently to the first signifier and phrases related independently to the second signifier; average a location of the first signifier and the second signifier on the enterprise network; and define the distance metric as a sum of the ratio of co-related services, the ratio of co-related phrases, and the average location; and build a semantics graph for the enterprise communication network using the defined distance metrics between pairs of related signifiers, including the defined distance metric of the first signifier and the second signifier. - View Dependent Claims (14, 15)
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Specification