The Quran covers all aspects of our life and usually referred, as a book of knowledge. The extraction of Quranic knowledge is a difficult task, as the Quran is rich in its linguistics and multi-layered meanings, difficult if done without the use of other resources such as the Hadith and Tafsir by Muslim Scholars. Several Quranic ontologies have been developed in recent years, however most of these ontologies only focus on certain domains and language rather than contents of the Quran. Hence this paper will describe the extraction of the knowledge from the Tafsir performed by Muslim Scholars that enables users to search and retrieve relevance information based on the Quran ontology that includes several fields like economy, health and others. This process is carried out to extract the components of ontology such as the concept, relation and rules. The extraction is performed based on search of the desired keyword (as a single word or multiple phrases with logical operator), search weightage (rank) or keyword expansion from the domain knowledge based that enables for further navigate related information from the search result. � 2017 American Scientific Publishers All rights reserved.

Interference from high priority tasks and messages in a hard real-time Networks-on-Chip (NoC) create computation and communication delays. As the delays increase in number, maintaining the system's schedulability become difficult. In order to overcome the problem, one way is to reduce interference in the NoC by changing task mapping and network routing. Some population-based heuristics evaluate the worst-case response times of tasks and messages based on the schedulability analysis, but requires a significant amount of optimization time to complete due to the complexity of the evaluation function. In this paper, we propose an optimization technique that explore both parameters simultaneously with the aim to meet the schedulability of the system, hence reducing the optimization time. One of the advantages from our approach is the unrepeated call to the evaluation function, which is unaddressed in the heuristics that configure design parameters in stages. The results show that a schedulable configuration can be found from the large design space.