Developing Domain Ontology for Nigerian History

Background: Nigeria, which is the most populous country in Africa, located in the West of Africa has a rich political and cultural history. Although, Nigeria has a valid history, the documentation of a significant portion of the historical information is vague and anecdotal because a lot of it is oral, which makes it susceptible to distortion. There is also poor electronic documentation, with a large chunk of history captured in print - history books, media report and museum artifacts. Objective: To develop a domain ontology for Nigerian history which is intended to provide viable support for sundry automation needs that require historical knowledge. Results: The NHO (Nigerian History Ontology) has been developed using a semi- automated approach that involved extraction of terms from textual sources and eventual conceptualization, modeling, and development using the Protégé Ontology Editor. The NHO (Nigerian History Ontology) developed ontology reveals a potential to competently support knowledge-based software endeavor. Also compared with Gold Standard ontology, it was found to be rich in content. Conclusion: We have presented the details of the process of developing a domain ontology for Nigeria history, which is the first of its kind in terms of focus (Nigeria), and perspectives (political, cultural). The NHO is a documentation of Nigerian historical knowledge for meaningful use, which makes the knowledge useful by both humans and software agents. It also provides an electronic archive of Nigerian history in a compact and easily accessible way

Developing Domain Ontology for Nigerian History

Background: Nigeria, which is the most populous country in Africa, located in the West of Africa has a rich political and cultural history. Although, Nigeria has a valid history, the documentation of a significant portion of the historical information is vague and anecdotal because a lot of it is oral, which makes it susceptible to distortion. There is also poor electronic documentation, with a large chunk of history captured in printhistory books, media report and museum artifacts. Objective: To develop a domain ontology for Nigerian history which is intended to provide viable support for sundry automation needs that require historical knowledge. Results: The NHO (Nigerian History Ontology) has been developed using a semi-automated approach that involved extraction of terms from textual sources and eventual conceptualization, modeling, and development using the Protégé Ontology Editor. The NHO (Nigerian History Ontology) developed ontology reveals a potential to competently support knowledgebased software endeavor. Also compared with Gold Standard ontology, it was found to be rich in content. Conclusion: We have presented the details of the process of developing a domain ontology for Nigeria history, which is the first of its kind in terms of focus (Nigeria), and perspectives (political, cultural). The NHO is a documentation of Nigerian historical knowledge for meaningful use, which makes the knowledge useful by both humans and software agents. It also provides an electronic archive of Nigerian history in a compact and easily accessible way

Determination of a spark ignition engine's performance parameters using response surface methodology

combustion engines are concerned, emission is the important parameters for which the other design and operating parameters have to be optimized. This paper studies the use of RSM (Response Surface Methodology) to optimize the performance parameters of a 4-stroke spark ignition engine. In this work, a description of the facilities developed for conducting experimental work on the test engine experiment was conducted. Theoretical evaluation, experimental evaluation, prediction of performance parameters using RSM and statistical evaluation of SI engine were performed. The study also explained how to build an analytical model for the complicated problem. The development of the incombustible gases concentration (part per million-ppm) as a function of engine speed (rpm), loading condition (%) and operating time (seconds) was done via 23 factorial designs of the experiment (DoE )and RSM. The results obtained from HC, CO and NOx emission models showed that the engine speed, loading condition and time were found to have significant influence on the emission. The HC, CO and NOx emission models have also proved positive response from the regression analysis of actual and predicted responses. In the error estimation with 95% confidence interval the equations are within the ranges. Thus, the response surface methodology provides useful informatio