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Resource Discovery in a European Spatial Data Infrastructure
January 2007 (vol. 19 no. 1)
pp. 85-95
Paul C. Smits, IEEE Computer Society
The geospatial community is moving toward distributed databases and Web services by following the general developments in information and communication technology. The sharing of resources across multiple information communities raises the need of new technologies that support resource discovery and information retrieval. This paper investigates if a common ontology is desirable and feasible for information retrieval in a European Spatial Data Infrastructure. It does so by reviewing relevant literature and proposes an approach for the automatic updating of existing ontologies, designed to facilitate access to multilingual descriptors of geospatial resources. We demonstrate by means of a prototype of an experimental system that the proposed approach is feasible. The experimental system is unique because it integrates a gazetteer, the EuroVoc multilingual vocabulary, the GEMET multilingual thesaurus, an automatic concept space generator, and graph matching into one system. Based on our study, we conclude that it will be impractical to rely only on one common ontology for resource discovery. We also conclude that the approach of using human-created ontologies in combination with automatic concept space generation and associative retrieval is a powerful means to the discovery of geospatial resources. In the absence of a consistent use of semantic Web technologies, a centralized approach to indexing of metadata is required, which has consequences for architectural choices.

[1] “Proposal for a Directive of the European Parliament and of the Council Establishing an Infrastructure for Spatial Information in the Community (INSPIRE),” European Commission, 2004.
[2] “Geographic Information—Standards, Specifications, Technical Reports, and Guidelines, Required to Implement Spatial Data Infrastructure,” European Committee for Standardization (CEN) CEN/TR 15449, 2006.
[3] M. Craglia, A. Annoni, M. Klopfer, C. Corbin, L. Hecht, G. Pichler, and P. Smits, “Geographic Information in the Wider Europe,” GINIE Deliverable 6.5.1, 2003.
[4] L. Bernard, I. Kanellopoulos, A. Annoni, and P. Smits, “The European Geoportal—One Step towards the Establishment of a European Spatial Data Infrastructure,” Computers, Environment, and Urban Systems, vol. 29, pp. 15-31, 2005.
[5] H.L. Larsen and R.R. Yager, “The Use of Fuzzy Relational Thesauri for Classificatory Problem Solving in Information Retrieval and Expert Systems,” IEEE Trans. Systems, Man, and Cybernetics, vol. 23, pp. 31-41, 1993.
[6] A.L. Rector, P.E. Zanstra, W.D. Solomon, J.E. Rogers, R. Baud, W. Ceusters, W. Claassen, J. Kirby, J.M. Rodrigues, A.R. Mori, E.J.v.d. Haring, and J. Wagner, “Reconciling Users' Needs and Formal Requirements: Issues in Developing a Reusable Ontology for Medicine,” IEEE Trans. Information Technology in Biomedicine, vol. 2, pp. 229-242, 1998.
[7] T.R. Gruber, “Toward Principles for the Design of Ontologies Used for Knowledge Sharing,” Formal Ontology in Conceptual Analysis and Knowledge Representation, N. Guarino and R. Poli, eds., Kluwer Academic Publishers, 1993.
[8] D.F. Sittig, “Grand Challenges in Medical Informatics,” J. Am. Medical Informatics Assoc., vol. 1, pp. 412-413, 1994.
[9] H. Chen, B. Schatz, T. Ng, J. Martinez, A. Kirchhoff, and C. Lin, “A Parallel Computing Approach to Creating Engineering Concept Spaces for Semantic Retrieval: The Illinois Digital Library Initiative Project,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, pp. 771-782, 1996.
[10] G. Leroy and H. Chen, “Meeting Medical Terminology Needs—The Ontology-Enhanced Medical Concept Mapper,” IEEE Trans. Information Technology in Biomedicine, vol. 5, pp. 261-270, 2001.
[11] M. Lutz and E. Klien, “Ontology-Based Retrieval of Geographic Information,” Int'l J. Geographical Information Science, vol. 20, pp.233-260, 2006.
[12] “TC 211 Geographic Information,” http:/www.isotc211.org, Int'l Organization for Standardization, 17May 2006.
[13] “European Committee for Standardization (CEN), Technical Committee 287 Geographic Information,” http:/www.cen tc287.org, European Committee for Standardization, 17 May 2006,
[14] “Open Geospatial Consortium Inc,” http:/www.opengeospatial. org, Open Geospatial Consortium Inc., 17 May 2006,
[15] G. Wiederhold and M. Genesereth, “The Conceptual Basis for Mediation Services,” IEEE Expert: Intelligent Systems and Their Applications, vol. 12, pp. 38-47, 1997.
[16] B. Beran, A.S. Islam, L. Bermudez, S. Fellah, and M. Piasecki, “Ontology for Conceptual Schema Language (ISO/CD TS 19103),” http://loki.cae.drexel.edu/~wbs/ontology iso-19103.htm, 18May 2006.
[17] “ISO 19103:2005 Geographic Information—Conceptual Schema Language,” ISO TC 211, Int'l Standard, 2005.
[18] A. Rodríguez and M. Egenhofer, “Determining Semantic Similarity among Entity Classes from Different Ontologies,” IEEE Trans. Knowledge and Data Eng., vol. 15, pp. 442-456, 2003.
[19] S. Stumpf and J. McDonnell, “Sharing Metadata—Problems and Potential Solutions,” Proc. 15th Int'l Workshop Database and Expert Systems Applications, 2004.
[20] E. Francesconi and G. Peruginelli, “Retrieval of Italian Legal Literature: A Case of Semantic Search Using Legal Vocabulary,” Proc. Int'l Conf. Dublin Core and Metadata Applications, 2005.
[21] M. Gratius, M. Bertran, and H. Rodriguez, “Multilingual and Multimedia Information Retrieval from Web Documents,” Proc. 15th Int'l Workshop Database and Expert Systems Applications, 2004.
[22] I.H. Witten, A. Moffat, and T.C. Bell, Managing Gigabytes: Compressing and Indexing Documents and Images, second ed. Morgan Kaufmann, 1999.
[23] W.B. Croft and R. Das, “Experiments With Query Acquisition and Use in Document Retrieval Systems,” Proc. 13th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, 1989.
[24] “The GALEN Project—Generalised Architecture for Languages, Encyclopaedias and Nomenclatures in Medicine,” http://www.cs.man.ac.uk/mig/projects/old galen/, 19 May 2006.
[25] F.W. Lancaster, Vocabulary Control for Information Retrieval. Information Resources Press, 1986.
[26] H. Chen and K.J. Lynch, “Automatic Construction of Networks of Concepts Characterizing Document Databases,” IEEE Trans. Systems, Man, and Cybernetics, vol. 22, pp. 885-902, 1992.
[27] R.V. Hauck, H. Atabakhsh, P. Ongvasith, H. Gupta, and H. Chen, “Using Coplink to Analyze Criminal-Justice Data,” Computer, pp.30-37, 2002.
[28] V.V. Cross and C.R. Voss, “Fuzzy Queries and Cross-Language Ontologies in Multilingual Document Exploitation,” Proc. Ninth IEEE Int'l Conf. Fuzzy Systems, 2000.
[29] EuroWordNet consortium, “EuroWordNet,” 1999.
[30] C.-A.M. Irniger, “Graph Matching—Filtering Databases of Graphs Using Machine Learning Techniques,” PhD thesis, Institut für Informatik und angewandte Mathematik, Univ. of Bern, p.226, 2005.
[31] “W3C: OWL Web Ontology Language Guide,” http://www.w3.org/TR/2004REC-owl-guide-20040210 /, WC3, 18May 2006,
[32] “European Environment Agency. General Multilingual Environmental Thesaurus (GEMET),” http://eionet.eu.intGEMET, European Environment Agency, 31 May 2006.
[33] “GLCN Land Cover Topic Centre,” http:/www.glcn-lccs.org, FAO, 7 June 2006.
[34] H. Wagner and S. Weibel, “The Dublin Core Metadata Registry: Requirements, Implementation, and Experience,” Proc. Int'l Conf. Dublin Core and Metadata Applications, 2005.
[35] A.K. Jain, J. Mao, and K.M. Mohiuddin, “Artificial Neural Networks: A Tutorial,” Computer, vol. 29, pp. 31-44, 1996.
[36] “PostgreSQL Database 8.1,” 8.1 ed., PostgreSQL, 2006.
[37] “PostGIS,” Refractions Research, 2006.
[38] European Communities, “Eurovoc,” http:/eurovoc.europa.eu/, European Commission, July 2006,
[39] T. Bittner, “An Introduction to Formal Ontology and How it Can Facilitate Semantic Interoperability,” http://www.acsu.buffalo. edu/~bittner3/courses CositTutorialPart1.pdf, 2005.

Index Terms:
Multilingual ontologies, information retrieval, concept spaces, query expansion, semantic parsing, graph matching, metadata, spatial data infrastructures.
Citation:
Paul C. Smits, Anders Friis-Christensen, "Resource Discovery in a European Spatial Data Infrastructure," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 1, pp. 85-95, Jan. 2007, doi:10.1109/TKDE.2007.15
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