Abstract
Digital mapping applications may lack integrated data on pet policies for points of interest (POIs), which can lead users to consult fragmented and potentially inaccurate external sources when planning travel with pets. A system and method are described for integrating pet-compatibility data into a navigation application. The system can utilize a multi-source data engine to aggregate and harmonize information from sources such as crowdsourced user reports, third-party data providers, and artificial intelligence analysis of public web data. A harmonization framework may use confidence scoring and a rules engine to resolve data conflicts and verify the pet policies of POIs, such as restaurants, hotels, or parks. This aggregated data can be used to provide users with features such as advanced search filters, custom map visualizations that identify pet-friendly locations, and a routing service that can generate travel paths to, for example, avoid pet-restricted areas.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gaikar, Kshitij Suresh and Mittal, Pushkar, "Pet-Aware Navigation Using Aggregated and Verified Point-of-Interest Data", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8926