Dr Fatihah Ramli
Data science niche: Foundations of Data Science
INTRODUCTION
OBJECTIVES
To support this aim, the following objectives have been outlined:
1.To process the historical newspaper terms using a pipeline of natural language processing techniques to generate and cluster.
2.To transform the historical newspaper into a new historical newspaper ontology by integrating existing ontologies.
3.To validate the quality of the ontology of historical newspapers.
METHODOLOGY
This project was applied METHONTOLOGY (Fernández-López, Gómez-Pérez, & Juristo, 1997), a complete ontology development process, as defined by the IEEE1074-1995 standard. It is a suitable methodology for building an ontology from scratch. The ontology building process has seven phases.
Phase 1: Specification
Phase 2: Knowledge acquisition
Phase 3: Conceptualisation
Phase 4: Integration
Phase 5: Implementation
Phase 6: Evaluation
Phase 7: Documentation
RESULTS
Evaluation method
REFERENCES
Adorni, G., Maratea, M., Pandolfo, L., & Pulina, L. (2015). An Ontology for Historical Research Documents Web Reasoning and Rule Systems (pp. 11-18): Springer.
Brusa, G., Caliusco, M. L., & Chiotti, O. (2006). A process for building a domain ontology: an experience in developing a government budgetary ontology. Paper presented at the Proceedings of the second Australasian workshop on Advances in ontologies-Volume 72.
Burton-Jones, A., Storey, V. C., Sugumaran, V., & Ahluwalia, P. (2005). A semiotic metrics suite for assessing the quality of ontologies. Data & Knowledge Engineering, 55(1), 84-102.
Corda, I. (2007). Ontology-based representation and reasoning about the history of science. The University of Leeds.
This work is a research project under funding of F08/SpSTG/1363/16/5