Geomatic Concepts in Agriculture Thesauri

No 1/2015, March
pp. 33-40

Čerba O., Jedlička K. (2015) "Geomatic Concepts in Agriculture Thesauri“, AGRIS on-line Papers in Economics and Informatics, Vol. 7, No. 1, pp. 33 – 40. ISSN 1804-1930


The agriculture thesauri (e.g. AGROVOC or NAL Agriculture Thesaurus) represent very large and robust systems of formalized knowledge. They are primarily focused on information related to agriculture. But they also use fragments of geomatic information and knowledge in a form of concepts and their terms. These concepts include general terms of all parts of geomatics as well as data instances (such as particular methods). Even though these concepts are not the main component of above-mentioned thesauri, the concepts from geomatic domain play very important role in a process of detail description of agricultural and other concepts (including processes of their measurement, observation or mapping) contained in thesauri.This paper assess geomatic concepts in AGROVOC and NAL Agriculture Thesaurus from the view of geomatics (but with a respect to methodologies of thesauri development and maintenance). It means evaluation of the subset of concepts related to geomatics and close scientific disciplines such as cartography, photogrammetry, GIS science or remote sensing. Authors look into definitions of concepts, their hierarchy, relations and links to other information resources. As the result there is a short list of recommendations how to improve and enrich the above-mentioned thesauri from the view of concepts from geomatic domain. It can enhance the quality of thesauri and their information value.The paper introduces the fundamental terminology (terms thesaurus, geomatics and concept) and related researches. Then a description of mapping of concepts in particular tools follows. The results of mapping are summarized in the part focused on the most frequent imperfections. The last section (with the exception of the final conclusion) presents the set of recommendations concerning usage of concepts from geomatic domain in agricultural thesauri.


Geomatics, thesaurus, semantics, agriculture, concept.


  1. Alonso, Y. The National Agricultural Library – Providing Tools For Education And Development In Agriculture. Best Practices in Government Information: A Global Perspective. 2007, 205. ISBN 978-3-598-11769-5.
  2. An, Y., Zhao, B. Geo ontology design and comparison in geographic information integration. In Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on (Vol. 4, pp. 608-612). IEEE. ISBN 978-0-7695-2874-8. DOI
  3. Bae, M., Kang, S., Oh, S. Semantic similarity method for keyword query system on RDF. Neurocomputing. 2014, 146, p. 264-275. ISSN 0925-2312. DOI
  4. Batet, M., Harispe, S., Ranwez, S., Sánchez, D., Ranwez, V. An information theoretic approach to improve semantic similarity assessments across multiple ontologies. Information Sciences. 2014, 283, p. 197-210. ISSN 0020-0255. DOI
  5. Bechhofer, S., Miles, A. SKOS simple knowledge organization system reference. W3C recommendation, W3C, 2009.
  6. Caracciolo, C., Morshed, A., Stellato, A., Johannsen, G., Jaques, Y., Keizer, J. Thesaurus Maintenance, Alignment and Publication as Linked Data: The AGROOVOC Use Case. In Metadata and Semantic Research. 2011 (p. 489-499). Springer Berlin Heidelberg. ISBN 978-3-642-24731-6. DOI
  7. Gimenez, P. J., Tanaka, A. K., Baião, F. A. A geo-ontology to support the semantic integration of geoinformation from the National Spatial Data Infrastructure. In GeoInfo. 2013, p. 103-114. ISSN: 2179-4820.
  8. Hazman, M., El-Beltagy, S. R., Rafea, A. Ontology learning from domain specific web documents. International Journal of Metadata, Semantics and Ontologies. 2009, Vol. 4, No. 1, p. 24-33. ISSN 1744-263X. DOI
  9. Huang, Y., Deng, G., Wu, X., Zhao, Z. Research on Representation of Geographic Feature Based on Geo-Ontology. In Intelligent Systems and Applications (ISA), 2010, 2nd International Workshop on (p. 1-5). IEEE. ISBN 978-1-4244-5874-5. DOI
  10. Janečka, K., Berzins, R., Charvát, K., Dzerve, A. On How to Build SDI Using Social Networking Principles in the Scope of Spatial Planning and Vocational Education. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6783 LNCS (PART 2). 2011. p. 78-92. ISBN 978-3-642-21887-3. DOI
  11. Jiang, Y., Wang, X., Zheng, H. T. A semantic similarity measure based on information distance for ontology alignment. Information Sciences. 2014, Vol. 278, p. 76-87. ISSN: 0020-0255. DOI
  12. Kavouras, M., Kokla, M. Theories of geographic concepts: ontological approaches to semantic integration. CRC Press. 2007. ISBN 9780849330896. DOI
  13. Lauser, B., Johannsen, G., Caracciolo, C., Keizer, J., van Hage, W. R., Mayr, P. Comparing human and automatic thesaurus mapping approaches in the agricultural domain. 2008.
  14. Li, J., Liang, Y., Wan, J. Geo-Ontology-Based object-oriented spatiotemporal data modeling. In Pervasive Computing and the Networked World. Springer Berlin Heidelberg. 2013, p. 302-317. ISBN 978-3-642-37015-1. DOI
  15. Lopez-Pellicer, F. J., Silva, M. J., Chaves, M. Linkable geographic ontologies. In Proceedings of the 6th Workshop on Geographic Information Retrieval, ACM. 2010, p. 1, ISBN: 978-1-60558-826-1. DOI
  16. McDonnell, R., Kemp, K. K. International GIS dictionary. John Wiley & Sons, 1995. ISBN 9780470236079. DOI
  17. Michiels, A., Noel, J. Approaches to thesaurus production. In Proceedings of the 9th conference on Computational linguistics. 1982, Vol.1, p. 227-232. DOI
  18. Pazienza, M. T., Stellato, A., Tudorache, A. G., Turbati, A., Vagnoni, F. An Architecture for Data and Knowledge Acquisition for the Semantic Web: The AGROVOC Use Case. In On the Move to Meaningful Internet Systems: OTM 2012 Workshops, Springer Berlin Heidelberg. 2012, p. 426-433. ISBN 978-3-642-33618-8. DOI
  19. Ping, D., Yong, L. Building place name ontology to assist in geographic information retrieval. In Computer Science-Technology and Applications, 2009. IFCSTA‘09. International Forum on IEEE. 2009, Vol. 1, p. 306-309. ISBN 978-1-4244-5423-5. DOI
  20. Řezník, T. Geographic information in the age of the INSPIRE directive: Discovery, download and use for geographical research. Geografická informace v dobì smìrnice INSPIRE: Nalezení, získání a vyučití dat pro geografický výzkum, Geografie-Sbornik CGS. 2013, Vol. 118, 1, p. 77-93.
  21. Severino, F. The term development in the thesauri of international organisations. The European Journal of Development Research. 2007, 19, No. 2, p. 327-351. I SSN 1743-9728. DOI
  22. Sini, M., Lauser, B., Salokhe, G., Keizer, J., Katz, S. The AGROVOC Concept Server: rationale, goals and usage. Library Review. 2008, 57, No. 3, p. 200-212. ISSN 0024-2535. DOI
  23. Soergel, D., Lauser, B., Liang, A., Fisseha, F., Keizer, J., Katz, S. Reengineering thesauri for new applications: the AGROVOC example. Journal of digital information. 2006, 4, No. 4. 26 p. ISSN 1368-7506.
  24. Tversky, A. Features of similarity. Psychological Review. 1977, 84, No. 4, p. 327-352. ISSN 0033-295X. DOI
  25. Wang, Z., Li, M., Li, F. Geo-ontology model based on description logic. In Geoinformatics, 2011 19th International Conference on (p. 1-5). IEEE. ISBN 978-1-61284-849-5. DOI
  26. Wille, R. Concept lattices and conceptual knowledge systems. Computers & mathematics with applications. 1992, Vol. 23, No. 6, p. 493-515. ISSN 0898-1221. DOI
  27. Zhang, C., Cheng, J., Liu, J., Pang, J., Liang, C., Huang, Q., Tian, Q. Object categorization in sub-semantic space. Neurocomputing, 2014. ISSN 0925-2312. DOI
  28. Zhang, X., Xu, J. Construction of geo-ontology knowledge base about spatial relations. In Spatial Data Mining and Geographical Knowledge Services (ICSDM). 2011 IEEE International Conference on IEEE. p. 234-237. ISBN 978-1-4244-8352-5. DOI

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