spatial@linkedscience - Exploring the research field of GIScience with linked data

Carsten Keßler*, Krzysztof Janowicz, Tomi Kauppinen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

10 Citations (Scopus)

Abstract

Metadata for scientific publications contain various explicit and implicit spatio-temporal references. Data on conference locations as well as author and editor affiliations - both changing over time - enable insights into the geographic distribution of scientific fields and particular specializations. At the same time, these byproducts of scientific bibliographies offer a great opportunity to integrate data across different bibliographies to get a more complete picture of a domain. In this paper, we demonstrate how the Linked Data paradigm can assist in enriching and integrating such collections. Starting from the bibliographies of the GIScience, COSIT, ACM GIS, and AGILE conference series, we show how to convert the data to Linked Data and integrate the previously separate datasets. We focus on the spatio-temporal aspects and discuss how they help in matching and disambiguating entities such as authors or universities. We introduce a novel user interface to explore the integrated dataset, demonstrating the potential of Linked Data for innovative applications using spatio-temporal information, and discuss how more complex queries can be addressed. While we focus on bibliographies, the presented work is part of the broader vision of a Linked Science infrastructure for e-Science.

Original languageEnglish
Title of host publicationGeographic Information Science - 7th International Conference, GIScience 2012, Proceedings
Pages102-115
Number of pages14
DOIs
Publication statusPublished - 23 Oct 2012
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Geographic Information Science - Columbus, United States
Duration: 18 Sep 201221 Sep 2012
Conference number: 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7478 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Geographic Information Science
Abbreviated titleGIScience
CountryUnited States
CityColumbus
Period18/09/201221/09/2012

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    Keßler, C., Janowicz, K., & Kauppinen, T. (2012). spatial@linkedscience - Exploring the research field of GIScience with linked data. In Geographic Information Science - 7th International Conference, GIScience 2012, Proceedings (pp. 102-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7478 LNCS). https://doi.org/10.1007/978-3-642-33024-7_8