A Spatial Similarity Ranking Framework for Spatial Metadata Retrieval

Walker, Arron R., Moody, Miles P., & Pham, Binh L. (2006) A Spatial Similarity Ranking Framework for Spatial Metadata Retrieval. In Combined 5th Trans Tasman Survey Conference & 2nd Queensland Spatial Industry Conference 2006, 18-23 September, Cairns.


Recently there has been a trend to facilitate access to large government repositories of spatial data1. In addition, there is an increasing number of non-government spatial providers who provide access to large quantities of spatial data for little or no cost. These factors have promoted research into improving metadata standards and metadata retrieval.

Unfortunately, current efforts have mainly focused on improving the textual description and subsequent textual query matching retrieval frameworks for spatial metadata. Consequently, current metadata standards only include spatial extent and spatial reference information. This has resulted in the current standards having limited spatial querying functionality.

Spatial data by definition is spatial aware, therefore, the spatial component should be exploited as much as possible to allow more complex spatial querying of spatial metadata. This paper presents an extension to the existing ISO 19115 metadata schema for Geographic Information and details a framework that ranks the spatial similarity between a query and spatial metadata. The framework utilises an object frequency (of) and inverse spatial frequency (isf) which are incorporated into the spatial metadata schema. This novel methodology is based on the tf-idf method used for textbased information retrieval. A Bayesian inference retrieval engine is utilised to rank the similarity between spatial query and metadata.

This contribution will allow complex spatial queries of spatial metadata. The spatial metadata will be ranked by spatial similarity which will improve the performance and efficiency of the spatial retrieval process.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

257 since deposited on 28 Sep 2006
0 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 5086
Item Type: Conference Paper
Refereed: Yes
Additional Information: For more information on this paper contact the author at ar.walker@qut.edu.au
Additional URLs:
Keywords: spatial data, metadata, spatial information retieval, geographic information system
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Geospatial Information Systems (090903)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 (please consult author)
Deposited On: 28 Sep 2006 00:00
Last Modified: 29 Feb 2012 13:23

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page