Invention Grant
- Patent Title: Measuring semantic and syntactic similarity between grammars according to distance metrics for clustered data
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Application No.: US14610345Application Date: 2015-01-30
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Publication No.: US10037374B2Publication Date: 2018-07-31
- Inventor: Adam Schwartz , Isaac David Guedalia
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Muncy, Geissler, Olds & Lowe, P.C.
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
The disclosure relates to various distance metrics that may quantify semantic and syntactic relationships between devices. More particularly, a first grammar associated with a first device and a second grammar associated with a second device may each comprise a symbol sequence that re-expresses one or more sequenced data items and one or more rules that represent a repeated pattern in the symbol sequence. Accordingly, one or more distance metrics that quantify a similarity between the first grammar and the second grammar may be calculated according to a comparison between the rules in the first grammar and the rules in the second grammar such that a relationship between the first device and the second device can be determined according to the one or more distance metrics.
Public/Granted literature
Information query