JST Vol. 21 (1) Jan. 2013 - Pertanika Journal - Universiti Putra ...

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Che Mustapha Yusuf, J., Mohd Su’ud, M., Boursier, P. and Muhammad, A. document ontology along with administration ontology that is presented by Xu and Zlatanova (2007) are generated to represent the concepts associated with the documents dataset and the providers. The top-level ontology contains common concepts that are associated with space, time and theme. The domain-specific ontology is created to capture spatial and non-spatial concepts related to disaster management. A specific case study of landslide disaster in Malaysia is drawn to demonstrate the applicability of the proposed ontology. So, the ontology also captures details of the landslide concepts which are described as the sub-concepts of natural disaster in the event ontology. Ontology building methodology, proposed by Uschold and King (1995) and Uschold and Gruniger (1996), is used as basis steps to build the ontology components. The following steps are adhered to properly design the ontologies under provision; 1) Identification of ontology purposes & scopes, 2) Ontology conceptualization, semi-formal specification and formalization, 3) Ontology evaluation and 4) Ontology documentation. The sets of ontology that are still at the development stage play a key role to semantically associate user’s query and the document metadata. Consequently, the ontology components here support the classification of resources and retrieval to the resources. Semantic Web ontology languages such as Resource Description Framework Schema-RDFS (Antoniou & Harmelen, 2008) and Web Ontology Language- OWL (W3C, 2009) are utilized along with the Protégé and the Jena API (Protégé, 2011) as an automatic development tool in this work. Ontology Mapping Methodology Fig. 3: Ontology model for disaster management domain In the modelling ontology, each class and property is assigned with primary identifier as in Parts LIBrary (PLIB) ontology (Pierra, 2004) to map between concepts. The primary identifier is used to indicate the similarity or different concepts between participating data sources and it upper-vocabularies. Fig.5 depicts the top-down to bottom-up mapping implementation with the use of primary identifier. An example of the text document concepts is presented. In the , local 222 Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013)
Information Fusion via Integrated Metadata Using Hybrid Ontology ontology is defined based on the schema of the local data. Data owners will decide their own definition of the local ontology concepts. The concepts that are rational to be disclosed will be pulled out to domain-shared list. Meanwhile, concealed concepts (shaded in Fig.5) will not be shared but can be accessed locally or may be shared (right away or later) in a different domain. Generic and domain shared-vocabulary are the list of shared concepts for all participating data sources. In this approach, the design of shared-vocabulary begins with inspirational approach (Holsapple & Joshi, 2002). At the initial stage, the specification of generic and domain shared-vocabulary, that are substantially potential to be shared with the group of the data owners, are initiated. Concerned with the importance of information sharing, the data owners may collaboratively (Holsapple & Joshi, 2002) use the existing shared-vocabulary as the anchor and supportively extend it if necessary. However, the data source owners will not be attentive to each other’s data. This is important for most of the intelligence systems that are confidentiality-related. MIRIP PROTOTYPICAL IMPLEMENTATION Fig. 4: Top -down to bottom-up ontology mapping Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013) 223
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Journal of Science & Technology Jou
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International Advisory Board Adarsh
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Selected Articles from UPM-Malaysia
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ISSN: 0128-7680 © 2013 Universiti
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Aspect of Fatigue Analysis of Compo
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Application of Anthropometric Dimen
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Different Media Formulation on Bioc
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Heng, S. C., Ibrahim, Z. B., Suleim
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CONCLUSION Heng, S. C., Ibrahim, Z.
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Y. Yusuf, J. M. Juoi, Z. M. Rosli,
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Surface Roughness Y. Yusuf, J. M. J
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DISCUSSION Y. Yusuf, J. M. Juoi, Z.
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Modelling of Motion Resistance Rati
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Assessment of Heavy Metal Pollution
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Norhashila Hashim et al. effectiven
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Statistical Analysis Norhashila Has
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Norhashila Hashim et al. Post-hoc a
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Norhashila Hashim et al. Cubero, S.
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S. Ismail and K. A. Mohd Atan 4 4 p
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S. Ismail and K. A. Mohd Atan The f
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Lemma 1.1 The equation S. Ismail an
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CONCLUSION S. Ismail and K. A. Mohd
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INTRODUCTION Tajau, R. et al. A hig
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Aji, I. S., Zinudin, E. S., Khairul
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CONCLUSION Aji, I. S., Zinudin, E.
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D. Bachtiar, S. M. Sapuan, E. S. Za
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TABLE 1: (continue) 4 D. Bachtiar,
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N. Maizatul, I. Norazowa, W. M. Z.
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REFERENCES N. Maizatul, I. Norazowa
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CBIR Using Colour and Shape Fused F
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REFEREES FOR THE PERTANIKA JOURNAL
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Guidelines for Authors Publication
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table should be prepared on a separ
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The Journal’s review process What
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Usability of Educational Computer G
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