research-article

Criteria of query-independent page significance in geospatial web search

Authors:

Susanne BollAuthors Info & Claims

GIR '13: Proceedings of the 7th Workshop on Geographic Information Retrieval

Pages 35 - 42

https://doi.org/10.1145/2533888.2533932

Published: 05 November 2013 Publication History

Abstract

The ranking problem in geospatial Web search has traditionally been focused towards query dependent relevance, i.e., the combination of textual and geographic similarity of pages with respect to query text and footprint. The query independent relevance which is also known as the popularity or significance of a page is a valuable aspect of generic Web search ranking. But the research progression or the formalization of query independent significance for geospatial Web search has been limited to the basic adaption of general popularity of pages. In this paper, we discuss how several location sensitive properties could alter the significance of geospatial Web pages. We particularly argue the significance of pages with respect to categorical, regional, and granular criterions. We analyze these criterions over a huge geospatial Web graph of different German cities, and perform some small-scale evaluations of our approach. We derive some valuable heuristics on the link structure of geospatial Web that can be used in the ranking formulation, or to cater certain contextual information needs from end-user of a geospatial Web search system.

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Cited By

Rocha JCampelo Cde Souza Baptista CRafael G(2016)The geo-social relevance ranking: A method based on geographic information and social media data2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)10.1109/AICCSA.2016.7945628(1-8)Online publication date: Nov-2016
https://doi.org/10.1109/AICCSA.2016.7945628

Index Terms

Criteria of query-independent page significance in geospatial web search
1. Information systems
  1. Information retrieval

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cover image ACM Conferences

GIR '13: Proceedings of the 7th Workshop on Geographic Information Retrieval

November 2013

92 pages

ISBN:9781450322416

DOI:10.1145/2533888

Editors:
Chris Jones
Cardiff University
,
Ross Purves
University of Zurich

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2013

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Deutsche Forschungsgemeinschaft

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SIGSPATIAL'13

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SIGSPATIAL

SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 5, 2013

Florida, Orlando

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Overall Acceptance Rate 46 of 61 submissions, 75%

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Cited By

Rocha JCampelo Cde Souza Baptista CRafael G(2016)The geo-social relevance ranking: A method based on geographic information and social media data2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)10.1109/AICCSA.2016.7945628(1-8)Online publication date: Nov-2016
https://doi.org/10.1109/AICCSA.2016.7945628

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