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The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language Cover

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

Foundations of Computing and Decision Sciences
Volume 40 (2015): Issue 3 (September 2015)
By: Maciej Rossa and  Mariusz Rogulski  
Open Access
|Sep 2015

References

  1. [1] Act of 27 April 2001 Environmental Protection Law.
    Search in Google Scholar
  2. [2] Chen N., Hu C., Chen Y., Wang C., Gong J., Using SensorML to construct a geoprocessing e-Science workflow model under a sensor web environment, Computers & Geosciences, 47, 2012, 119–129.10.1016/j.cageo.2011.11.027
    Search in Google Scholar
  3. [3] Chen N., Wang X., Yang X., A direct registry service method for sensors and algorithms based on the process model, Computers & Geosciences, 56, 2013, 45–55.10.1016/j.cageo.2013.03.008
    Search in Google Scholar
  4. [4] Compton M., Barnaghi P., Bermudez L., García-Castro R., Corcho O., Coxe S., Graybeal J., Hauswirth M., Hensonh C., Herzog A., Huang V., Janowicz K., David Kelsey W., Le Phuoc D., Lefort L., Leggieri M., Neuhaus H., Nikolov A., Page K., Passant A., Sheth A., Taylor K., Web Semantics: Science, Services and Agents on the World Wide Web, Web Semantics: Science, Services and Agents on the World Wide Web, 17, 2012, 25–32.10.1016/j.websem.2012.05.003
    Search in Google Scholar
  5. [5] Conover H., Berthiau G., Botts M., Goodman H.M., Li X., Lu Z., Maskey M., Regner K., Zavodsky B., Using sensor web protocols for environmental data acquisition and management, Ecological Informatics, 5, 2010, 32–41.10.1016/j.ecoinf.2009.08.009
    Search in Google Scholar
  6. [6] European Commission, Data Specification on Environmental Monitoring Facilities – Draft Technical Guidelines (D2.8.III.7_v3.0rc3), http://inspire.ec.europa.eu/documents/Data_Specifications/INSPIRE_DataSpecification_EF_v3.0rc3.pdf (access 28.01.2015).
    Search in Google Scholar
  7. [7] European Commission, Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE Annex II and III data specification development (D2.9_v2.0), http://inspire.ec.europa.eu/documents/Data_Specifications/D2.9_O&M_Guidelines_v2.0.pdf (access 28.01.2015).
    Search in Google Scholar
  8. [8] Fan M., Fan H., Chen N., Chen Z., Du W., Active on-demand service method based on event-driven architecture for geospatial data retrieval, Computers & Geosciences, 56, 2013, 1–11.10.1016/j.cageo.2013.01.013
    Search in Google Scholar
  9. [9] Farazi F., Maltese V., Giunchiglia F., Ivanyukovich A., A faceted ontology for a semantic geo-catalogue, The SemanicWeb: Research and Applications, 8th Extended SemanticWeb Conference, ESWC 2011 Heraklion, Crete, Greece, May 29 – June 2, 2011, Proceedings, Part II.10.1007/978-3-642-21064-8_12
    Search in Google Scholar
  10. [10] Gaździcki J., Internetowy Leksykon Geomatyczny – Lexicon of Geomatics. (www.ptip.org.pl), 2010.
    Search in Google Scholar
  11. [11] Gomes de Andrade F., de Souza Baptista C., Augusto Davis Jr. C., Improving geographic information retrieval in spatial data infrastructures, Geoinformatica, 2014, DOI 10.1007/s10707-014-0202-x.10.1007/s10707-014-0202-x
    Search in Google Scholar
  12. [12] Giuliani G., Ray N., Lehmann A., Grid-enabled Spatial Data Infrastructure for environmental sciences: Challenges and opportunities, Future Generation Computer Systems, 27, 2011, 292–303.10.1016/j.future.2010.09.011
    Search in Google Scholar
  13. [13] IDABC, EIF – European Interoperability Framework for pan-European eGovernment services, 2004.
    Search in Google Scholar
  14. [14] IEEE Standard, Institute of Electrical and Electronics Engineers. IEEE Standard Computer Dictionary: A Compilation of IEEE Standard Computer Glossaries. p. 42, New York, 1990.
    Search in Google Scholar
  15. [15] ISA 2011 EIF – European Interoperability Framework. Towards Interoperability for European Public Services. NO-30-11-312-EN-C. European Commission, Directorate-General for Informatics.
    Search in Google Scholar
  16. [16] ISO/IEC, Technical Draft Report, Ref. No. JTC1 SC36 WG4 N0070. Information Technology – Learning, education, and training – Management and delivery – Specification and use extensions and profiles, 2003. US SC36 Secretariat.
    Search in Google Scholar
  17. [17] Iwaniak A., Kubik T., Ontologies in GIS and their use for construction of intelligent geoportals, Annals of Geomatics, VI, 7, 2008, 23-34.
    Search in Google Scholar
  18. [18] Iwaniak A., Kubik T., Paluszyński W., Tykierko M., Kaczmarek I., Semantic based extension of search capability of SDI, Global Geospatial Conference 2012 “Spatially Enabling Government, Industry and Citizens”, Québec City, Canada, May 14-17.
    Search in Google Scholar
  19. [19] Iwaniak A., Łukowicz J., Strzelecki M., Kaczmarek I., Implementation aspects of an intelligent spatial information infrastructure, Annals of Geomatics, X, 4, 2012, 103-117.
    Search in Google Scholar
  20. [20] KRI, 2012 Rozporządzenie Rady Ministrów z dnia 16 maja 2012 r. w sprawie Krajowych Ram Interoperacyjności, minimalnych wymagań dla rejestrów publicznych i wymiany informacji w postaci elektronicznej oraz minimalnych wymagań dla systemów teleinformatycznych (Dz. U. z 2012 r. poz. 526).
    Search in Google Scholar
  21. [21] Kaczmarek I., Iwaniak A., The role of thesaurus in creating semantic interoperability, Annals of Geomatics, IX, 4, 2011, 61-69.
    Search in Google Scholar
  22. [22] Liang S.H.L., Croitoru A., Vincent Tao C., A distributed geospatial infrastructure for Sensor Web, Computers & Geosciences, 31, 2005, 221–231.10.1016/j.cageo.2004.06.014
    Search in Google Scholar
  23. [23] Lutz M., Sprado J., Klien E., Schubert C., Christ I., Overcoming semantic heterogeneity in spatial data infrastructures, Computers & Geosciences, 35, 2009, 739–752.10.1016/j.cageo.2007.09.017
    Search in Google Scholar
  24. [24] Michalak J., Languages derived from and connected with GML, Annals of Geomatics, VI, 6, 2008, 75-84.
    Search in Google Scholar
  25. [25] Michalak J., UML geospatial data models and their transformation into GML schemas and database structures, Annals of Geomatics, X, 1, 2012, 15-34.
    Search in Google Scholar
  26. [26] Nałęcz T., The use of spatial data models and their transformation (UML, XML, GML) in geology and hydrogeology, Annals of Geomatics, IX, 4, 2011, 105-115.
    Search in Google Scholar
  27. [27] Prandi F., De Amicis R., Conti G., Debiasi A., Use of OGC Web Standard for a Spatio-Temporal Enabled SDI for Civil Protection, Proceedings of the 17th International Conference on 3D Web Technology, New York, 2012.10.1145/2338714.2338732
    Search in Google Scholar
  28. [28] Rossa M., Gogołek W., Łukasiewicz A., Geostandardy, metadane i dyrektywa INSPIRE. Poradnik metodyczny Zintegrowanego Systemu Kartografii Geologicznej IKAR. Państwowy Instytut Geologiczny, Warszawa, 2009.
    Search in Google Scholar
  29. [29] Rossa M., Aplikacje GML dla środowiska na przykładzie GeoSciML i GWML2 – stan aktualny, kierunki rozwoju, zastosowania praktyczne, Konferencja „GML w praktyce”, 12.04.2012, Kon-Dor, Warszawa, 2013.
    Search in Google Scholar
  30. [30] Rossa M., 2014a Zastosowanie języka GML do przetwarzania danych geologicznych, XXIII Szkoła eksploatacji górniczej, 24-28.02.2014, Kraków.
    Search in Google Scholar
  31. [31] Rossa M., 2014b Wykorzystanie języka GML do opisu danych hydrogeologicznych i hydrograficznych, XXIII Szkoła eksploatacji górniczej, 24-28.02.2014, Kraków.
    Search in Google Scholar
  32. [32] Sánchez López T., RFID and sensor integration standards: State and future prospects, Computer Standards & Interfaces, 33, 2011, 207–213.10.1016/j.csi.2010.09.002
    Search in Google Scholar
DOI: https://doi.org/10.1515/fcds-2015-0012 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 187 - 201
Submitted on: Sep 11, 2014
Accepted on: May 28, 2015
Published on: Sep 30, 2015
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Spatial Data Infrastructures,
SensorML,
INSPIRE
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2015 Maciej Rossa, Mariusz Rogulski, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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