An End-to-end Point of Interest (POI) Conflation Framework

by   Raymond Low, et al.

Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urban planning. With the availability of different data sources, POI conflation serves as a valuable technique for enriching data quality and coverage by merging the POI data from multiple sources. This study proposes a novel end-to-end POI conflation framework consisting of six steps, starting with data procurement, schema standardisation, taxonomy mapping, POI matching, POI unification, and data verification. The feasibility of the proposed framework was demonstrated in a case study conducted in the eastern region of Singapore, where the POI data from five data sources was conflated to form a unified POI dataset. Based on the evaluation conducted, the resulting unified dataset was found to be more comprehensive and complete than any of the five POI data sources alone. Furthermore, the proposed approach for identifying POI matches between different data sources outperformed all baseline approaches with a matching accuracy of 97.6 matching over 12,000 POIs to result in 8,699 unique POIs, thereby demonstrating the framework's scalability for large scale implementation in dense urban contexts.


page 8

page 14


Integrating Information About Entities Progressively

Users often have to integrate information about entities from multiple d...

Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic

We present a large-scale comparison of five multidisciplinary bibliograp...

TensorAnalyzer: Identification of Urban Patterns in Big Cities using Non-Negative Tensor Factorization

Extracting relevant urban patterns from multiple data sources can be dif...

General Context-Aware Data Matching and Merging Framework

Due to numerous public information sources and services, many methods to...

Linking Contexts from Distinct Data Sources in Zero Trust Federation

An access control model called Zero Trust Architecture (ZTA) has attract...

Eris: Measuring discord among multidimensional data sources

Data integration is a classical problem in databases, typically decompos...

An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation

Accurate estimation of the traffic state over a network is essential sin...

Please sign up or login with your details

Forgot password? Click here to reset