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. An implementation plan to demonstrate the interaction (data services registration and discovery) within MIRIP is illustrated in disaster management domain. In MIRIP, data providers are from different mapping agencies and institutions involved in disaster management. They present a collection of data services while mediator is employed with a set of data registry services, and client (data requestor) is equipped with a set of client applications. Data services registration involves data listing process in catalogue services. Data providers can use the MIRIP dRI not only for submitting their new data (metadata), but they can take out data from the catalogue and update some specific data. The following case shows how the data service registration works. Let’s assume that the Public Work Department of Malaysia (PWD) is cooperatively giving out a landslide investigation report (in MIRIP geo-portal). Thus, PWD must use the concepts enumerated in ontologies to generate the data service descriptions. With the help of the dRI to access the relevant concepts from ontologies, PWD will perform multiple steps to select an appropriate disaster event (in this case, landslide). In the proposed event ontology shown in Fig.6, ‘landslide’ is enumerated as a sub-concept of geological natural hazard. After the landslide concept has been chosen, PWD is navigated to stipulate an important attributes (i.e. format, reference date, abstract etc.) for the published data. In the case of publishing spatial dataset, more detail spatial representation properties are required. Once the new metadata registration is submitted, it is stored in the metadata-base (enriched with ontology descriptions). Data services discovery always concerns with the identification of service descriptions that match a data service requested by the client. From the previous case, if PWD registers multiple datasets, PWD has provided a service description that defines an important metadata which entirely describes the characteristics of services that are deployed on MIRIP geo-portal. This metadata provides an abstract definition of the information that is essential to deploy and interact with a service. Suppose that Malaysian Public Works Institute (Ikram) is about to request datasets about specific landslide resources. Analogous to registration step, Ikram will perform the request (via query interface with catalogue service) by specifying the properties such as the event type, location, date, etc. Since the information about landslide has been Fig. 5: Snippet of class event and its membership 224 Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013)
Information Fusion via Integrated Metadata Using Hybrid Ontology registered and classified under a specific category and aligned with the ontologies, the query is foreseen to return the relevant result list and ready to be browsed for further discovery (i.e. reiterate search, display and download). OUTLOOK This specific system was designed to increase the efficiency in document query and integration, particularly for disaster management domain. The presented ontology-based architecture for a semantic integration of documents via metadata approach was currently developed. Validation upon the designated ontology would be attained with the professional members involved in Malaysian disaster management, particularly with personnel involved with data acquisition and risk analysis. The recent research is still in focus to scrutinize the ontology formation as well as the complex ontology matchmaking process highlighted in this paper to produce ideal mapping between upper and low level ontology. The approach using ontology is foreseeable to help achieve the goal of automatic data search and integration to response a specific query. REFERENCES Antoniou, G., & Harmelen, F. V. (2008). A semantic web primer (2 nd Edition). Cambridge, MA: The MIT Press. Gagliardi, H., Haemmerlé, O., Pernelle, N., & Saïs, F. (2005). An automatic ontology-based approach to enrich tables semantically. 1 st International Workshop on Context and Ontologies: Theory, Practice and Applications. Pittsburgh, Pennsylvania, pp. 64–71. Gruber, T. (2007). Ontology of folksonomy: a mash-up of apples and oranges. International Journal on Semantic Web and Information Systems (IJSWIS), 3(1), pp. 1-11. Haas, L. M. (2007). Beauty and the beast: the theory and practice of information integration. International Conference on Database Theory, pp. 28-43. Halevy, A., Rajaraman, A., & Ordille, J. (2006). Data integration: the teenage years. 32 nd International Conference on Very Large Databases, September 12-15, Seoul, Korea. Haslhofer, B., & Klas, W. (2010) A survey of techniques for achieving metadata interoperability. ACM Computing Surveys (CSUR), 42(2), 1-37. Holsapple, C. W., & Joshi, K. D. (2002). A collaborative approach to ontology design. Communications of the ACM, 45(2), 42-47. Hurtienne, J., Weber, K., & Blessing, L. (2008). Prior experience and intuitive use: image schemas in user centred design. Designing Inclusive Futures, 107–116. Larson, J., Olmos Siliceo, M. A., Pereira dos Santos Silva, M., Klien, E., & Schade, S. (2006). Are geospatial catalogues reaching their goals? Paper presented at the 9 th Agile Conference on Geographical Information Science, Visegrád, Hungary. Mena, E., Illarramendi, A., Kashyap, V., & Sheth, A. P. (2000). OBSERVER: An approach for query processing in global information systems based on interoperation across pre-existing ontologies. Distributed and Parallel Databases, 8(2), 223-271. Pierra, G. (2004). The PLIB ontology-based approach to data integration. Paper presented at the18 th IFIP World Computer Congress (WCC’2004), Toulouse, France. Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013) 225
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Selected Articles from UPM-Malaysia
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Surface Roughness Y. Yusuf, J. M. J
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Statistical Analysis Norhashila Has
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Toward Automatic Semantic Annotatin
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Guidelines for Authors Publication
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Usability of Educational Computer G
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