Abstract
The past two decades have seen a remarkable shift in the knowledge- and information-sharing paradigm. In the crops domain, for example, the amount of information currently known about underutilized crops, for example, Bambara groundnut their genetics and agronomy are much richer than years before. That paradigm shift offers enormous potential for advancing knowledge representation systems to facilitate access to such data. However, inconsistencies in terminology, improper syntax, and semantics are main obstacles to sharing data and knowledge among disparate researchers. We present a formal framework for representing knowledge using OWL 2 RL ontologies and SWRL rules and to integrate and reason over data from multiple, heterogeneous underutilized crops data sources.
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References
Bohring, H., Auer, S.: Mapping XML to OWL Ontologies. In: Leipziger Informatik-Tage, vol. 72, pp. 147–156 (2005)
Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering. In: Proceedings of the AAAI’97 Spring Symposium Series on Ontological Engineering, pp. 33–40 (1997)
Gruber, T.: A translation approach to portable ontology specifications. Knowl. Acquisition 5, 199–220 (1993)
Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: a semantic web rule language combining OWL and RuleML. Acknowledged W3C Submission, Standards Proposal Research Report: Version 0.6 (April 2004)
Jacob, E.K.: Ontologies and the semantic web. Bull. Am. Soc. Inf. Sci. Technol. 29, 19–22 (2003)
Lauser, B., Sini, M.: From AGROVOC to the agricultural ontology service/concept server: an owl model for creating ontologies in the agricultural domain. In: Proceedings of the International Conference on Dublin Core and Metadata Applications: Metadata for Knowledge and Learning, pp. 76–88. Dublin Core Metadata Initiative (2006)
Matteis, L., Chibon, P.Y., Espinosa, H., Skofic, M., Finkers, R., Bruskiewich, R., Hyman, J.M., Arnoud, E.: Crop ontology: vocabulary for crop-related concepts. In: Proceedings of the First International Workshop on Semantics for Biodiversity (2013)
Motik, B., Grau, B., Horrocks, I., Wu, Z., Fokoue, A., Lutz, C.: OWL 2 Web Ontology Language: Profiles, W3C Recommendation. http://www.w3.org/TR/owl2-profiles/ (December 2012)
Noy, N.F.: Ontology management with the PROMPT plugin. In: Proceedings of the 7th International Protégé Conference (July 2004)
Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology. Technical report, Stanford (2001)
Pinto, H.S., Tempich, C., Staab, S.: Diligent: towards a fine-grained methodology for distributed, loosely-controlled and evolving engineering of ontologies. In: Proceedings of the 16th European Conference on Artificial Intelligence, pp. 393–397. IOS Press (2004)
Shrestha, R., Matteis, L., Skofic, M., Portugal, A., McLaren, G., Hyman, G., Arnaud, E.: Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the crop ontology developed by the crop communities of practice. Front. Physiol. 3(326), 1–10 (2012)
Soergel, D., Lauser, B., Liang, A.C., Fisseha, F., Keizer, J., Katz, S.: Reengineering thesauri for new applications: the AGROVOC example. J. Digital Inf. 4(4) 1–19 (2004)
Thunkijjanukij, A.: Ontology development for agricultural research knowledge management: a case study for Thai rice. Ph.D. thesis, Kasetsart University, Thailand (2009)
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Rakib, A., Lawan, A., Walker, S. (2015). An Ontological Approach for Knowledge Modeling and Reasoning Over Heterogeneous Crop Data Sources . In: Abraham, A., Muda, A., Choo, YH. (eds) Pattern Analysis, Intelligent Security and the Internet of Things. Advances in Intelligent Systems and Computing, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-17398-6_4
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DOI: https://doi.org/10.1007/978-3-319-17398-6_4
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