Arizona State University Patents Semantic Crime Data Framework
Summary
The USPTO published patent application US20260099891A1 by Arizona State University inventors Subham Kumar, Amarjeet Singh, and Srividya Bansal for a semantic crime data analysis and visualization framework. The invention describes a computer-implemented method for processing crime-related data using ontologies, RDF datastores, and a dashboard interface for visualization. The application was filed on October 2, 2025, under application number 19348599.
What changed
The USPTO published patent application US20260099891A1 disclosing a computer-implemented method and system for analyzing crime-related data using a structured semantic framework. The framework interfaces with data sources, defines ontologies representing crime data classes and relationships, and performs preprocessing operations including column removal, null elimination, and temporal value conversion. The refined dataset is transformed and imported into a Resource Description Framework datastore where RDF triples represent relationships among dataset elements. A dashboard user interface module exposes the datastore to receive queries and return responses, outputting crime data visualizations.
Affected parties including technology companies, data analytics providers, and law enforcement agencies should monitor this patent application as it may indicate future intellectual property considerations for semantic data analysis systems. The application does not create immediate compliance obligations but establishes prior art for similar approaches. This publication represents routine patent examination procedure without regulatory enforcement implications.
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Apr 12, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
SEMANTIC CRIME DATA ANALYSIS AND VISUALIZATION FRAMEWORK
Application US20260099891A1 Kind: A1 Apr 09, 2026
Assignee
Arizona Board of Regents on Behalf of Arizona State University
Inventors
Subham Kumar, Amarjeet Singh, Srividya Bansal
Abstract
A computer-implemented method is disclosed for analyzing crime-related data using a structured semantic framework. The method includes interfacing one or more data sources with a crime data analysis framework, defining an ontology that includes classes, properties, and relationships to represent the crime-related data, and pre-processing the data to generate a refined dataset. Pre-processing operations may include removing irrelevant columns, eliminating rows with null fields, and converting temporal values to numerical format. The dataset is transformed and imported into a Resource Description Framework (RDF) datastore accessible to the framework. RDF triples are generated within the datastore to represent relationships among dataset elements. The datastore is exposed to a dashboard user interface module configured to receive queries and return responses. Based on the query responses, the system outputs visualizations of the crime data for display via the dashboard interface.
CPC Classifications
G06Q 50/265 G06F 16/2365 G06F 16/245
Filing Date
2025-10-02
Application No.
19348599
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