Article

Analyzing theme, space, and time: an ontology-based approach

Authors:

Farshad Hakimpour,

Amit ShethAuthors Info & Claims

GIS '06: Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems

Pages 147 - 154

https://doi.org/10.1145/1183471.1183496

Published: 10 November 2006 Publication History

Abstract

The W3C's Semantic Web Activity is illustrating the use of semantics for information integration, search, and analysis. However, the majority of the work in this community has focused more on the thematic aspects of information and has paid less attention to its spatial and temporal dimensions. In this paper, we present an integrative ontology-based framework incorporating the thematic, spatial, and temporal dimensions of information. This framework is built around the RDF metadata model. Our ultimate goal is to provide an information system which allows searching and analysis of relationships in any or all of the three dimensions of space, time, and theme. Toward this end, we present an upper-level ontology combining concepts and relationships from both the thematic and spatial dimensions and show how to incorporate temporal semantics into this ontology. We also introduce the notion of a thematic context linking entities of differing dimensions and define a set of query operators built upon these contexts.

References

[1]

Agarwal, P. Ontological considerations in GIScience. Int'l Journal of Geographical Information Science, 19, 5 (May 2005), 501--536.

[2]

Aleman-Meza, B., Nagarajan, M., Ramakrishnan, C., Ding, L., Kolari, P., Sheth, A., Arpinar, I.B., Joshi, A. and Finin, T. Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection. In Proceedings of the Fifteenth Int'l World Wide Web Conference (WWW '06), Edinburgh, Scotland, 2006.

Digital Library

[3]

Allen, J.F. Maintaining knowledge about temporal intervals. Communications of the ACM, 26, 11 (Nov. 1983), 832--834.

Digital Library

[4]

Anyanwu, K. and Sheth, A.P. ?-Queries: Enabling Querying for Semantic Associations on the Semantic Web. In Proceedings of the Twelfth Int'l World Wide Web Conference (WWW '03), Budapest, Hungary, 2003.

Digital Library

[5]

Bateman, J. and Farrar, S. Spatial ontology baseline. SFB/TR8 internal report I1-{OntoSpace}:D2, Collaborative Research Center for Spatial Cognition, University of Bremen, Germany, 2004.

[6]

Booch, G. Object oriented design with applications. Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, USA, 1990.

Digital Library

[7]

Egenhofer, M.J. Toward the Semantic Geospatial Web. In Proceedings of the Tenth ACM Int'l Symposium on Advances in Geographic Information Systems (ACM-GIS '02), McLean, VA, 2002.

Digital Library

[8]

Fonseca, F.T., Egenhofer, M.J., Agouris, P. and Camara, G. Using Ontologies for Integrated Geographic Information Systems. Transactions in GIS, 6, 3 (June 2002), 231--257.

[9]

Grenon, P. and Smith, B. SNAP and SPAN: Towards Dynamic Spatial Ontology. Spatial Cognition and Computation, 4, 1 (2004). 69--104.

[10]

Gutierrez, C., Hurtado, C. and Vaisman, A. Temporal RDF. In Proceedings of the European Conference on the Semantic Web (ESWC '05), Heraklion, Crete, Greece, 2005.

Digital Library

[11]

Jones, C.B., Abdelmonty, A.I., Finch, D., Fu, G. and Vaid, S. The SPIRIT Spatial Search Engine: Architecture, Ontologies, and Spatial Indexing. In Proceedings of the Third Int'l Conference on Geographic Information Science (GIS '04), Adelphi, MD, USA, 2004.

[12]

Kolas, D., Hebeler, J. and Dean, M. Geospatial Semantic Web: Architecture of Ontologies. In Proceedings of the First Int'l Conference on GeoSpatial Semantics (GEOS '05), Mexico City, Mexico, 2005.

Digital Library

[13]

Ladkin, P.B. The logic of time representation, University of California at Berkley, Berkley, CA, 1987.

[14]

Mukherjea, S. and Bamba, B. BioPatentMiner: An Information Retrieval System for BioMedical Patents. In Proceedings of the Thirtieth Int'l Conference on Very Large Data Bases (VLDB '04), Toronto, Canada, 2004.

Digital Library

[15]

Pelekis, N., Theodoulidis, B., Kopanakis, I. and Theodoridis, Y. Literature Review of Spatio-Temporal Database Models. The Knowledge Engineering Review, 19, 3 (2004), 235--274.

Digital Library

[16]

RDF. http://www.w3.org/RDF/.

[17]

SemanticWeb. http://www.w3.org/2001/sw/

[18]

Sheth, A.P., Arpinar, I.B. and Kashyap, V. Relationships at the Heart of Semantic Web: Modeling, Discovering and Exploiting Complex Semantic Relationships. in Nikravesh, M., Azvin, B., Yager, R. and Zadeh, L.A. eds. Enhancing the Power of the Internet Studies in Fuzziness and Soft Computing, Springer-Verlag, 2003.

[19]

Srinivasan, J., Murthy, R., Sundara, S., Agarwal, N. and DeFazio, S. Extensible Indexing: A Framework for Integrating Domain-Specific Indexing Schemes into Oracle8i. In Proceedings of the Sixteenth Int'l Conference on Data Engineering (ICDE '00), San Diego, CA, USA, 2000.

Digital Library

[20]

Theodoulidis, C.I. and Loucopoulos, P. The Time Dimension in Conceptual Modelling. Information Systems, 16, 3 (1991), 273--300.

Digital Library

[21]

Worboys, M. and Hornsby, K. From Objects to Events: GEM, the Geospatial Event Model. In Proceedings of the Third Int'l Conference on Geographic Information Science (GIS '04), Adelphi, MD, USA, 2004.

[22]

Yuan, M. Modeling Semantical, Temporal and Spatial Information in Geographic Information Systems. in Craglia, M. and Couclelis, H. eds. Geographic Information Research: Bridging the Atlantic, Taylor & Francis, 1996, 334--347.

[23]

Yuan, M. Wildfire Conceptual Modeling for Building GIS Space-Time Models. In Proceedings of GIS/LIS, Pheonix, AZ, 1994.

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Koubarakis MBereta KNikolaou CStamoulis G(2022)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_71-3(1-8)Online publication date: 26-Nov-2022
https://doi.org/10.1007/978-3-319-63962-8_71-3
Cao TMu WGou JPeng L(2020)A Study of Risk Relevance Reasoning Based on a Context Ontology of Railway AccidentsRisk Analysis10.1111/risa.1350640:8(1589-1611)Online publication date: 25-May-2020
https://doi.org/10.1111/risa.13506
Koubarakis MBereta KNikolaou CStamoulis G(2019)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_71(1124-1131)Online publication date: 20-Feb-2019
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Index Terms

Analyzing theme, space, and time: an ontology-based approach
1. Information systems
  1. Data management systems
    1. Database design and models

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cover image ACM Conferences

GIS '06: Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems

November 2006

264 pages

ISBN:1595935290

DOI:10.1145/1183471

General Chairs:
Rolf A. de By
ITC, The Netherlands
,
Silvia Nittel
University of Maine, USA

Copyright © 2006 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 ACM 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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Publication History

Published: 10 November 2006

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CIKM06

Sponsor:

CIKM06: Conference on Information and Knowledge Management

November 10 - 11, 2006

Virginia, Arlington, USA

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

Koubarakis MBereta KNikolaou CStamoulis G(2022)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_71-3(1-8)Online publication date: 26-Nov-2022
https://doi.org/10.1007/978-3-319-63962-8_71-3
Cao TMu WGou JPeng L(2020)A Study of Risk Relevance Reasoning Based on a Context Ontology of Railway AccidentsRisk Analysis10.1111/risa.1350640:8(1589-1611)Online publication date: 25-May-2020
https://doi.org/10.1111/risa.13506
Koubarakis MBereta KNikolaou CStamoulis G(2019)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_71(1124-1131)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_71
Koubarakis MBereta KNikolaou CStamoulis G(2018)Linked Geospatial DataEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_71-1(1-8)Online publication date: 15-Feb-2018
https://doi.org/10.1007/978-3-319-63962-8_71-1
Ren JWang XLu XSong W(2016)An approach to representing spatio-temporal ontology in the geospatial semantic web2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)10.1109/FSKD.2016.7603504(2093-2097)Online publication date: Aug-2016
https://doi.org/10.1109/FSKD.2016.7603504
Ben Abid WMhiri MBouazizi ERhayem A(2016)An Ontological Approach to Design Real-time ApplicationsJournal on Data Semantics10.1007/s13740-016-0068-15:3(195-209)Online publication date: 10-Jun-2016
https://doi.org/10.1007/s13740-016-0068-1
Sitaram DSubramaniam K(2016)Complex Event Processing in Big Data SystemsBig Data Analytics10.1007/978-81-322-3628-3_8(137-161)Online publication date: 13-Oct-2016
https://doi.org/10.1007/978-81-322-3628-3_8
Nguyen PKaneiwa K(2014)EVENT INFERENCE WITH RELATION AND META-RELATION TYPE HIERARCHIES IN CONCEPTUAL STRUCTURE THEORYApplied Artificial Intelligence10.1080/08839514.2014.87568228:2(139-177)Online publication date: 3-Mar-2014
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ElGindy EAbdelmoty A(2014)Capturing Place Semantics on the GeoSocial WebJournal on Data Semantics10.1007/s13740-014-0034-83:4(207-223)Online publication date: 6-Feb-2014
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Pileggi SAmor R(2013)Addressing Semantic Geographic Information SystemsFuture Internet10.3390/fi50405855:4(585-590)Online publication date: 26-Nov-2013
https://doi.org/10.3390/fi5040585
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