A standards-based framework to foster geospatial data and process interoperability
Journal of the Brazilian Computer Society volume 15, pages 13–25 (2009)
The quest for interoperability is one of the main driving forces behind international organizations such as OGC and W3C. In parallel, a trend in systems design and development is to break down GIS functionalities into modules that can be composed in an ad hoc manner. This component-driven approach increases flexibility and extensibility. For scientists whose research involves geospatial analysis, however, such initiatives mean more than interoperability and flexibility. These efforts are progressively shielding these users from having to deal with problems such as data representation formats, communication protocols or pre-processing algorithms. Once scientists are allowed to abstract from lower level concerns, they can shift their focus to the design and implementation of the computational models they are interested in. This paper analyzes how interoperability and componentization efforts have this underestimated impact on the design and development perspective. This discussion is illustrated by the description of the design and implementation of WebMAPS, a geospatial information system to support agricultural planning and monitoring. By taking advantage of new results in the above areas, the experience with WebMAPS presents a road map to leverage system design and development by the seamless composition of distributed data sources and processing solutions.
Aditya T, Kraak MJ. Aim4GDI: facilitating the synthesis of GDI resources through mapping and superimpositions of metadata summaries.Geoinformatica 2007; 11(4):459–478.
Agrawal H, Chafle G, Goyal S, Mittal S, Mukherjea S. An enhanced extract-transform-load system for migrating data in Telecom billing. In:IEEE 24th International Conference on Data Engineering; 2008; Cancun. p. 1277–1286.
Balakrishnan H, Balazinska M, Carney D, Çetintemel U, Cherniack M, Convey C. et al. Retrospective on Aurora.The VLDB Journal 2004; 13(4):370–383.
Brabec F, Samet H. Client-based spatial browsing on the World Wide Web.IEEE Internet Computing 2007; 11(1):52–59.
Brown ME, Pinzon JE, Didan K, Morisette JT, Tucker CJ. Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM + sensors.IEEE Transactions on Geoscience and Remote Sensing 2006; 44(7):1787–1793.
Bryant R, Forester R, Hawkes J. Filesystem performace and scalability in Linux 2.4.17. In:Proceedings of the USENIX Annual Technical Conference (FREENIX Track); 2002; Monterey. p. 259–274.
Cai G. Contextualization of geospatial database semantics for Human-GIS Interaction.Geoinformatica 2007; 11(2):217–237.
Campbell AT, Eisenman SB, Lane ND, Miluzzo E, Peterson RA, Lu H. et al. The rise of people-centric sensing.Internet Computing, IEEE 2008; 12(4):12–21.
Chambers LH, Alston EJ, Diones DD, Moore SW, Oots PC, Phelps CS. The MY NASA DATA Project: tools for knowledge sharing and discovery. In:Proceedings of the 6 th Annual NASA Earth Science Technology Conference; 2006; College Park.
Open Geospatial Consortium. OpenGIS Implementation Specification for Geographic Information. Simple Feature Access. Available from: 〈http://www. opengeospatial.org/standards/sfa〉. Access in: 09/2008.
Cornillon P, Caron J, Burk T, Holloway D. Data access interoperability within IOOS. In:Proceedings of MTS/IEEE OCEANS; 2005; Washington. p. 1790–1792.
Crescenzi V, Mecca G. Automatic information extraction from large websites.Journal of the ACM 2004; 51(5):731–779.
Critchlow T, Fidelis K, Ganesh M, Musick R, Slezak T. DataFoundry: information management for scientific data.IEEE Transactions on Information Technology in Biomedicine 2000; 4(1):52–57.
Cuff D, Hansen M, Kang J. Urban sensing: out of the woods.Communications of the ACM 2008; 51(3):24–33.
Daltio J, Medeiros CB. Aondê: an ontology web service for interoperability across biodiversity applications.Information Systems 2008; 33(7–8):724–753.
Daltio J, Medeiros CB, Gomes L Jr., Lewinsohn TM. A framework to process complex biodiversity queries. In:Proceedings of the ACM Symposium on Applied Computing; 2008; Fortaleza. p. 2293–2297.
Fielding RT.Architectural styles and the design of network-based software architectures [Thesis]. Irvine: University of California; 2000.
Ganesan D, Estrin D, Heidemann J. Dimensions: why do we need a new data handling architecture for sensor networks?ACM SIGCOMM Computer Communication Review 2003; 33(1):143–148.
Goodchild MF, Egenhofer MJ, Fegeas R, Kottman CA. (Ed.).Interoperating Geographic Information Systems. Kluwer; 1999.
Haas L. Beauty and the beast: the theory and practice of information integration. In:Proceedings of the 11th International Conference on Database Theory 2007; Barcelona. p. 28–43.
Habegger B, Quafafou M. Building web information extraction tasks. In:Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence; 2004; Beijing. p. 349–355.
Halevy AY, Ashish N, Bitton D, Carey M, Draper D, Pollock J, Rosenthal A, Sikka V. Enterprise information integration: successes, challenges and controversies. In:Proceedings of the 24th ACM SIGMOD International Conference on Management of Data; 2005; Baltimore. p. 778–787.
Hellerstein JM, Hong W, Madden S. The sensor spectrum: technology, trends and requirements.SIGMOD Record 2003; 32(4):22–27.
Huynh D, Mazzocchi S, Karger D. Piggy bank: experience the semantic web inside your web browser.Web Semantics: Science, Services and Agents on the World Wide Web 2007; 5(1):16–27.
INSPIRE. Infrastructure for spatial information in the europe. Available from: 〈http://www.ec-gis.org/ inspire/〉. Access in: 09/2008.
Jang SG, Kim TJ. Modeling an interoperable multimodal travel guide system using the iso 19100 series of international standards. In:Proceedings of the 14th Annual ACM International Symposium on Advances in Geographic Information Systems; 2006; Arlington. p. 115-122.
Jarke M, Jeusfeld MA, Quix C, Vassiliadis P. Architecture and quality in data warehouses: an extended repository approach.Information Sytems 1999; 24(3):229–253.
Kantere V, Sellis T. Handling spatial data in distributed environments. In:Proceedings of the 15th Annual ACM International Symp. on Advances in Geographic Information Systems; 2007; Seattle.
Kosala R, Blockeel H. Web mining research: a survey.ACM SIGKDD Explorations Newsletter 2000; 2(1):1–15.
Fu L, Soh LK, Samal A. Techniques for computing fitness of use (FoU) for time series datasets with applications in the geospatial domain.Geoinformatica 2008; 12(1):91–115.
Laender AHF, Ribeiro-Neto BA, Silva AS, Teixeira JS. A brief survey of web data extraction tools.SIGMOD Record 2002; 31(2):84–93.
Lew MS, Sebe N, Djeraba C, Jain R. Content-based multimedia information retrieval: state of the art and challenges.ACM Transactions on Multimedia Computing, Communications, and Applications 2006; 2(1):1–19.
Lima JGS, Medeiros CB, Assad ED. Integration of heterogeneous pluviometric data for crop forecasts. In:Proceedings of the 5th Brazilian Symposium on GeoInformatics; 2003; Campos do Jordão. Article 14.
Lu CT, Santos RF Jr., Sripada LN, Kou Y. Advances in GML for Geospatial Applications.Geoinformatica 2007; 11(1):131–157.
Mariote LE, Medeiros CB, Lee I. Diagnosing similarity of oscillation trends in time series. In:Proceedings of the 7th IEEE International Conference on Data Mining Workshops; 2007; Omaha. p. 643–648.
Medeiros CB, Alencar AC. Data quality and interoperability in GIS (In Potuguese). In:Proceedings of the 1st Brazilian Symposium on GeoInformatics; 1999; Campinas.
NASA. MODIS Rapid Response System. Available from: 〈http://rapidfire.sci.gsfc.nasa.gov/〉. Access in: 09/2008.
NSF/NCGIA/OpenGIS.Proceedings of the International Conference and Workshop on Interoperating Geographic Information Systems; 1997. Available from: 〈http://www.ncgia.ucsb.edu/conf/interop97〉. Access in: 06/2008.
OGC. OpenGIS Reference Model (ORM). Available from: 〈http://portal.opengeospatial.org/files/?artifact_id=3836〉. Access in: 09/2008.
OGC. OpenGIS Web Processing Service. Available from: 〈http://www.opengeospatial.org/ standards/wps〉. Access in: 09/2008.
Open Geospatial Consortium, Inc. KML Implementation Standard. Available from: 〈http://www.opengeospatial.org/standards/kml/〉. Access in: 09/2008.
Pastorello Jr GZ, Daltio J, Medeiros CB. Multimedia semantic annotation propagation. In:Proceedings of the 1st IEEE International Workshop on Data Semantics for Multimedia Systems and Applications (DSMSA) — 10th IEEE Int. Symposium on Multimedia (ISM); 2008; Berkeley. p. 509–514.
Pastorello Jr GZ, Medeiros CB, Santanchè A. Accessing and processing sensing data. In:Proceedings of the 11th IEEE International Conference on Computational Science and Engineering; 2008; São Paulo. p. 353–360.
Pastorello Jr GZ, Senra RDA, Medeiros CB. Bridging the gap between geospatial resource providers and model developers. In:Proceedings of the 16th ACM International Conference on Advances in Geographic Information Systems; 2008; Irvine. p. 379–382.
Pinter Jr PJ, Hatfield JL, Schepers JS, Barnes EM, Moran MS, Daughtry CST, Upchurch DR. Remote sensing for crop management.Photogrammetric Engineering and Remote Sensing 2003; 69(6):647–664.
Rigaux P, Scholl M, Voisard A.Spatial databases: with application to GIS.: Morgan Kaufmann, Elsevier; 2001.
Ritter N, Ruth M. The GeoTiff data interchange standard for raster geographic images.International Journal of Remote Sensing 1997; 18(7):1637–1647.
Simitsis A, Vassiliadis P, Sellis T. Optimizing ETL processes in data warehouses. In:Proceedings of the 21st International Conference on Data Engineering; 2005; Tokyo. p. 564–575.
Thakkar S, Knoblock CA, Ambite JL. Quality-driven geospatial data integration. In:Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems; 2007; Seattle. Article 16.
Ungerer MJ, Goodchild MF. Integrating spatial data analysis and GIS: a new implementation using the Component Object Model (COM).International Journal of Geographical Information Science 2002; 16(1):41–53.
Van Leeuwen WJD, Huete AR, Laing TW. MODIS vegetation index compositing approach: a prototype with AVHRR data.Remote Sensing of Environment 1999; 69(3):264–280.
Vance TC, Merati N, Mesick SM, Moore CW, Wright DJ. GeoModeler: tightly linking spatially-explicit models and data with a GIS for analysis and geovisualization. In:Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems; 2007; Seattle. Article 32.
Xue Y, Wan W, Li Y, Guang J, Bai L, Wang Y, Ai J. Quantitative retrieval of geophysical parameters using satellite data.Computer 2008; 41(4):33–40.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Pastorello, G.Z., Senra, R.D.A. & Medeiros, C.B. A standards-based framework to foster geospatial data and process interoperability. J Braz Comp Soc 15, 13–25 (2009). https://doi.org/10.1007/BF03192574
- geospatial data
- geospatial processing
- geospatial interoperability
- data publication
- process publication