Integration of Text and Geospatial Search for Hydrographic Datasets Using the Lucene Search Library

Section 1: Publication

Publication Type

Authorship

Yang Matthew, Yang Siwen, Lin Jimmy

Title

Integration of Text and Geospatial Search for Hydrographic Datasets Using the Lucene Search Library

Year

2022

Publication Outlet

AOSM2022

DOI

ISBN

ISSN

Citation

Matthew Yang, Siwen Yang, Jimmy Lin (2022). Integration of Text and Geospatial Search for Hydrographic Datasets Using the Lucene Search Library. Proceedings of the GWF Annual Open Science Meeting, May 16-18, 2022.

Abstract

We present a hybrid text and geospatial search application for hydrographic datasets built on the open-source Lucene search library. Our goal is to demonstrate that it is possible to build custom GIS applications by integrating existing open-source components and data sources, which contrasts with existing approaches based on monolithic platforms such as ArcGIS and QGIS.
Lucene provides rich index structures and search capabilities for both free text and geometries; the former has already been integrated and exposed via our group's Anserini and Pyserini IR toolkits. In this work, we extend these toolkits to include geospatial capabilities as well. Combining knowledge extracted from Wikidata with the HydroSHEDS dataset, our application enables text and geospatial search of rivers around the world.

Plain Language Summary

Section 2: Additional Information

Program Affiliations

GWF: Global Water Futures

Project Affiliations

GWF-CS: Computer Science

Submitters

Name	Role	Email	Institution
Matthew Yang	Submitter/Presenter	m259yang@uwaterloo.ca	University of Waterloo

Publication Stage

Theme

Hydrology and Terrestrial Ecosystems

Presentation Format

10-minute oral presentation

Additional Information

AOSM2022 core Computer Science First Author: Matthew Yang, University of Waterloo Additional Authors: Siwen Yang, University of Waterloo; Jimmy Lin, University of Waterloo