Representing Environmental Knowledge in EcoLexicon
- 1.6k Downloads
EcoLexicon is a multilingual terminological knowledge base (TKB) on the environment, which provides an internally coherent information system covering a wide range of specialized linguistic and conceptual needs. Our research has mainly focused on conceptual modeling with a view to offering a user-friendly multimodal interface. The dynamic interface of EcoLexicon combines conceptual, linguistic, and graphical information and is primarily hosted in a relational database that has been recently linked to an ontology. One of the main challenges that we have faced in the development of our TKB is the information overload generated by the specialized domain. This is not only due to the wide scope and applicability of environmental concepts, but especially to the fact that multiple dimensions of their meaning definition or conceptual description are not always compatible but rather context-dependent. As a result, concepts with an information overload have been reconceptualized according to two contextual factors: domain membership and semantic role. This reduces the amount of conceptual information accessed by the user, and makes the knowledge representation easier to process.
KeywordsConceptual Relation Environmental Domain Conceptual Network Formal Role Concept Type
- Anglin, G., H. Vaez, and K.L. Cunningham. 2004. Visual representations and learning: The role of static and animated graphic. Visualization and Learning 33: 865–917.Google Scholar
- Bizer, C., and A. Seaborne. 2004. D2RQ-treating non-RDF databases as virtual RDF graphs. In Proceedings of the 3rd international semantic web conference (ISWC2004).Google Scholar
- Damasio, A., and H. Damasio. 1994. Cortical systems for retrieval of concrete knowledge: The convergence zone framework. In Large-scale neuronal theories of the brain, ed. C. Koch and J. Davis. Cambridge, MA: MIT Press.Google Scholar
- Evans, V. 2009. Cognitive linguistics. In Encyclopedia of pragmatics, ed. L. Cummings. Available at: http://www.vyvevans.net/cognitiveLinguisticsPRAG-ENCYC.pdf. Accessed 15 May 2013.
- Faber, P., C. Márquez Linares, and M. Vega Expósito. 2005. Framing terminology: A process-oriented approach. META 50(4): CD-ROM.Google Scholar
- GEMET. 2004. About GEMET. General multilingual environmental thesaurus. Available at: http://www.eionet.europa.eu/gemet/about. Accessed 15 May 2013.
- Kageura, K. 1997. Multifaceted/multidimensional concept systems. In Handbook of terminology management: Basic aspects of terminology management, ed. S.E. Wright and G. Budin, 119–132. Amsterdam/Philadelphia: John Benjamins.Google Scholar
- Langacker, R.W. 1987. Foundations of cognitive grammar: Theoretical prerequisites, vol. 1. Stanford: Stanford University Press.Google Scholar
- León Araúz, P. 2009. Representación multidimensional del conocimiento especializado: el uso de marcos desde la macroestructura hasta la microestructura. Ph.D. thesis, University of Granada, Granada, Spain.Google Scholar
- León Araúz, P., and P. Faber. 2010. Natural and contextual constraints for domain-specific relations. In Proceedings of semantic relations. Theory and applications, Malta.Google Scholar
- León Araúz, P., and P.J. Magaña Redondo. 2010. EcoLexicon: Contextualizing an environmental ontology. In Proceedings of the terminology and knowledge engineering (TKE) conference 2010, Dublin City University, Dublin.Google Scholar
- León Araúz, P., P.J. Magaña Redondo, and P. Faber. 2009. Managing inner and outer overinformation in Ecolexicon: An environmental ontology. In Proceedings of the 8th international conference on terminology and artificial intelligence, Toulouse.Google Scholar
- Meyer, I., L. Bowker, and K. Eck. 1992. COGNITERM: An experiment in building a knowledge-based term bank. In Proceedings of Euralex ’92, 159–172Google Scholar
- Prieto Velasco, J.A. 2008. Información gráfica y grados de especialidad en el discurso científico-técnico: un estudio de corpus. Ph.D. thesis, University of Granada, Granada.Google Scholar
- Pustejovsky J, C. Havasi, J. Littman, et al. 2006. Towards a generative lexical resource: The brandeis semantic ontology. In Proceedings of LREC 2006, Genoa.Google Scholar
- Rosch, E. 1978. Principles of categorization. In Cognition and categorization, ed. E. Rosch and B.B. Lloyd, 27–28. Hillsdale: Erlbaum.Google Scholar
- Smith, M., C. Welty, and D. McGuinness (eds.). 2004. OWL Web ontology language guide. W3C Recommendations.Google Scholar
- Tucker, M., and R. Ellis. 1998. On the relations between seen objects and components of potential actions. Journal of Experimental Psychology: Human Perception and Performance 24: 830–846.Google Scholar