Querying and Integrating Spatial–Temporal Information on the Web of Data Via Time Geography

The Web of Data is a rapidly growing collection of datasets from a wide range of domains, many of which have spatial-temporal aspects. Hagerstrand's time geography has proven useful for thinking about and understanding the movements and spatial-temporal constraints of humans. In this paper, we explore time geography as a means of querying and integrating multiple spatial-temporal data sources. We formalize the concept of the space-time prism as an ontology design pattern to use as a framework for understanding and representing constraints and interactions between entities in space and time. We build on a formalization of space-time prisms and apply it in the context of the Web of Data, making it usable across multiple domains and topics. We demonstrate the utility of this approach through two use cases from the domains of environmental monitoring and cultural heritage, showing how space-time prisms enable spatial-temporal and semantic reasoning directly on distributed data sources.

[1]  Harvey J. Miller,et al.  User‐centred time geography for location‐based services , 2004 .

[2]  Werner Kuhn,et al.  Linked Data and Time - Modeling Researcher Life Lines by Events , 2013, COSIT.

[3]  Angela Schwering,et al.  Conceptual Spaces - The Geometry of Thought , 2008, Künstliche Intell..

[4]  Carsten Keßler,et al.  The Humanitarian eXchange Language: Coordinating disaster response with semantic web technologies , 2015, Semantic Web.

[5]  Shih-Lung Shaw Guest editorial introduction: time geography – its past, present and future , 2012 .

[6]  Aldo Gangemi,et al.  Ontology Design Patterns , 2005 .

[7]  M. Wulder,et al.  Local indicators for categorical data: impacts of scaling decisions , 2010 .

[8]  Tumasch Reichenbacher,et al.  Linking Time Geography and Activity Theory to Support the Activities of Mobile Information Seekers , 2013, Trans. GIS.

[9]  Flávia M. C. Bastos Place , 2010, Dreams of Flight.

[10]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[11]  Mathieu d'Aquin Putting Linked Data to Use in a Large Higher-Education Organisation , 2012, ILD@ESWC.

[12]  Barry Boots,et al.  Developing local measures of spatial association for categorical data , 2003, J. Geogr. Syst..

[13]  Martin Raubal,et al.  Location-based decision support for user groups , 2009, J. Locat. Based Serv..

[14]  Krzysztof Janowicz,et al.  The Stimulus-Sensor-Observation Ontology Design Pattern and its Integration into the Semantic Sensor Network Ontology , 2010, SSN.

[15]  Egon L. Willighagen,et al.  Linked open drug data for pharmaceutical research and development , 2011, J. Cheminformatics.

[16]  Amit P. Sheth,et al.  The SSN ontology of the W3C semantic sensor network incubator group , 2012, J. Web Semant..

[17]  Auriol Degbelo Short Paper: An Ontology Design Pattern for Spatial Data Quality Characterization in the Semantic Sensor Web , 2012, SSN.

[18]  Martin Raubal,et al.  Representing Concepts in Time , 2008, Spatial Cognition.

[19]  M. Kwan Gis methods in time‐geographic research: geocomputation and geovisualization of human activity patterns , 2004 .

[20]  Antoine Isaac,et al.  Europeana Linked Open Data - data.europeana.eu , 2013, Semantic Web.

[21]  I. McDowell,et al.  Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research. , 2010, Social science & medicine.

[22]  Chris T. A. Evelo,et al.  Applying linked data approaches to pharmacology: Architectural decisions and implementation , 2014, Semantic Web.

[23]  Sebastian Rudolph,et al.  Foundations of Semantic Web Technologies , 2009 .

[24]  Trisalyn A. Nelson,et al.  Toward a kinetic-based probabilistic time geography , 2014, Int. J. Geogr. Inf. Sci..

[25]  T. Nelson,et al.  Time geography and wildlife home range delineation , 2012 .

[26]  Christian Bizer,et al.  Media Meets Semantic Web - How the BBC Uses DBpedia and Linked Data to Make Connections , 2009, ESWC.

[27]  Simon Scheider,et al.  Encoding and Querying Historic Map Content , 2014, AGILE Conf..

[28]  M. Kwan Gender and Individual Access to Urban Opportunities: A Study Using Space–Time Measures , 1999 .

[29]  A. Getis,et al.  Using AMOEBA to Create a Spatial Weights Matrix and Identify Spatial Clusters , 2006 .

[30]  Aldo Gangemi,et al.  Ontology Design Patterns for Semantic Web Content , 2005, SEMWEB.

[31]  Stephan Winter,et al.  The elements of probabilistic time geography , 2011, GeoInformatica.

[32]  Ralph Johnson,et al.  design patterns elements of reusable object oriented software , 2019 .

[33]  W. Tobler A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .

[34]  Aldo Gangemi,et al.  Towards a pattern science for the Semantic Web , 2010, Semantic Web.

[35]  P. Whigham,et al.  A Time Geography Approach to the Visualisation of Sport , 1995 .

[36]  H. Miller A MEASUREMENT THEORY FOR TIME GEOGRAPHY , 2005 .

[37]  Stephan Winter,et al.  Time Geography for Ad-Hoc Shared-Ride Trip Planning , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[38]  Krzysztof Janowicz,et al.  Place, Period, and Setting for Linked Data Gazetteers , 2016 .

[39]  Torsten Hägerstraand WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[40]  Tomi Kauppinen,et al.  Linked Open Data University of Münster - Infrastructure and Applications , 2012, ESWC.

[41]  Henda Hajjami Ben Ghézala,et al.  A Semantic Approach for the Modeling of Trajectories in Space and Time , 2009, ER Workshops.

[42]  Stephan Winter,et al.  Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks , 2007 .

[43]  Miriam Baglioni,et al.  An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories , 2008, ER Workshops.

[44]  Krzysztof Janowicz,et al.  spatial@linkedscience - Exploring the Research Field of GIScience with Linked Data , 2012, GIScience.

[45]  Harvey J. Miller,et al.  What about people in geographic information science? , 2003, Comput. Environ. Urban Syst..

[46]  Harvey J. Miller,et al.  Modelling accessibility using space-time prism concepts within geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[47]  Krzysztof Janowicz,et al.  A logical geo-ontology design pattern for quantifying over types , 2012, SIGSPATIAL/GIS.

[48]  Tomi Kauppinen,et al.  Linked Brazilian Amazon Rainforest Data , 2014, Semantic Web.

[49]  Amit P. Sheth,et al.  Linked sensor data , 2010, 2010 International Symposium on Collaborative Technologies and Systems.

[50]  Krzysztof Janowicz,et al.  An Ontology Design Pattern for Cartographic Map Scaling , 2013, ESWC.

[51]  Krzysztof Janowicz,et al.  A Geo-ontology Design Pattern for Semantic Trajectories , 2013, COSIT.

[52]  Nicola Guarino,et al.  WonderWeb Deliverable D18 Ontology Library , 2003 .

[53]  Stephan Winter,et al.  Towards a probabilistic time geography , 2009, GIS.

[54]  Scott A. Bridwell,et al.  A Field-Based Theory for Time Geography , 2009 .

[55]  Peter Gärdenfors,et al.  Conceptual spaces - the geometry of thought , 2000 .

[56]  Christoph Stasch,et al.  enviroCar: A Citizen Science Platform for Analyzing and Mapping Crowd‐Sourced Car Sensor Data , 2015, Trans. GIS.

[57]  Barry Boots,et al.  Local measures of spatial association , 2002 .