Kamaluddeen Usman Danyaro

Tractability method for ontology development of Semantic Web

Ontology is an explicit representation of a particular domain of interest. This paper focuses on the inherent problem of intractability (data complexity) due to data capturing for heterogeneous sources. We proposed to follow the tradition of knowledge representation and reasoning processes to develop a Semantic Web. Building query systems is the ultimate goal for this study. Conjunctive queries were adopted over ontology methods to address the data complexity. The Conjunctive queries are the form of queries in first-order logic that deal with conjunction (Λ) and existential quantification (∃) in database atomic formulae. State of the art meteorological and oceanographic domain provides the motivation for this work. We found that the querying method facilitates the tractability in reasoning and logical systems.

MetOcean data to linked data

This paper describes the Linked Data initiative in meteorological environment. MetOcean data are meteorological and oceanographic datasets that provide information to meteorological industries, petroleum industries as well as research institutes. The MetOcean has a myriad of data and scattered along the globe which lack Linked Data or Semantic Web capabilities. Linked Data is a concept of publishing interoperable data globally. As a way of integrating MetOcean data, this work used D2R server, a server that manages data sources and translates it to Web data. Therefore, the paper elucidates the process of developing Linked Data in Meteorological sector. Also, the results were queried using SPARQL endpoint as a graph. This approach was analyzed using F-measure which reveals the system is sufficient for querying and accessing the data as a graph.

Modeling RDF Data for MetOcean Information Systems

This paper suggests a Resource Description Framework (RDF) model for effective handling of distributed data relating to the Semantic Web. RDF is a data model that integrates aptly structured data. The World Wide Web is facing great challenges in data retrieval as a result of increase and request of knowledge from different sources. This brings the issue of information overload. Therefore, in minimizing this challenge, the paper presents the process of modeling RDF knowledge base which is the essential step of Semantic Web development. As a state-of-the-art research, a meteorological and oceanographic dataset has been used to provide the basic concepts of RDF serialization. The result accessed through the developed SPARQL endpoint. Thus, it implies that the approach is sufficient for querying as well as data representation of distributed data.

Completeness Knowledge Representation in Fuzzy Description Logics

Semantic Web is increasingly becoming the best extension of World Wide Web which enables machines to be more interpretable and present information in less ambiguous process. Web Ontology Language (OWL) is based on all the knowledge representation formalisms of Description Logics (DLs) that has the W3C standard. DLs are the families of formal knowledge representation languages that have high expressive power in reasoning concepts. However, DLs are unable to express a number of vague or imprecise knowledge and thereby cannot handle more uncertainties. To reduce this problem, this paper focuses on the reasoning processes with knowledge-base representation in fuzzy description logics. We consider Godel method in solving the completeness of our deductive system. We also discuss the desirable concepts based on entailment to fuzzy DL knowledge-base satisfiability. Indeed, fuzzy description logic is the suitable formalism to represent this category of knowledge.

A Proposed Methodology for Integrating Oil and Gas Data Using Semantic Big Data Technology

The paradigm change in web structure has turned the world of information systems and data sharing to be a huge and diverse storage. As many oil and gas companies vie for attention due to the downturn, more data management is needed. Therefore, oil and gas industries are hungry to share their information for competitive advantage. The challenge is the redundancy or/and unorganized information present in large amounts of data. This paper proposed a methodology for the development of semantic big data for oil and gas data exchange that facilitates data integration. It provides a framework that will be used for accessing the oil and gas data; and integrate the oil and gas unstructured, semi-structured and structured data for better accessibility to users.

Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region

There has been numerous seismic hazard studies so far that includes Malaysian territories. However, there is a need to assess how reliable those studies are. Two main potential contributors to error have been identified: 1) seismic hazard analysis method and 2) ground motion prediction equation (GMPE). The amount of variation in predicting erroneous GMPE is huge. Thus, this paper concentrates on generating new GMPEs due to subduction specified for Malaysia and validated against developed GMPE. Empirical method for GMPE generation was utilized using recorded ground motion data acquired from the Malaysian Meteorological Department. The earthquakes were grouped according to the source, and only source types in the Sumatran subduction area were used due to the availability of enough data to identify a pattern. Three GMPEs were generated for three different source types, namely, shallow subduction earthquake, deep subduction earthquake, and backarc earthquake sources. Sumatran strike slip fault is considered within backarc seismicity. They were compared with the models proposed by Petersen (modified from Young), Atkinson and Boore, and Megawati. The comparison results showed that the proposed models are far superior at predicting the earthquakes in the Sumatran region, with percentage difference between estimates and the recorded values being the lowest. Therefore, the equations should be used in further seismic hazard analyses. Thus, this paper becomes a part of the recent initiatives in Malaysia to assess the hazards posed by earthquakes.