Abstract
Heterogeneous data from various sources related to the National Science and Technology (NST) domain can be represented using ontological modelling. Data about researchers, research organizations, research projects, publications and research facilities are represented in Resource Description Framework (RDF), enabling all the data to relate to each other and can be easily made accessible to the user. Reusing standard existing vocabularies such as Friend-of-A-Friend (FOAF), Dublin Core Metadata Initiative (DCMI) and Semantically-Interlinked Online Communities (SIOC) also enable knowledge reusability and interoperability. This paper will talk about the techniques used to model the ontology for Malaysia Science, Technology and Innovation Knowledge Base system.
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Lim Sien Niu, M., Selan, N.E., Lukose, D., Bahari, A. (2012). Ontology Model for National Science and Technology. In: Lukose, D., Ahmad, A.R., Suliman, A. (eds) Knowledge Technology. KTW 2011. Communications in Computer and Information Science, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32826-8_22
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DOI: https://doi.org/10.1007/978-3-642-32826-8_22
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