خصائص الاسلام فی تامین الامن والسلام

This article focuses onthose special attributes of Islām, which distinguishes it from other religions with respect to peacekeeping, i. E., the rules and ethics, which inculcate peace and tranquility in the soul and mind of an individual and society. Islām is the pioneer of all the religions that emphasize upkeeping of peaceful relations between their followers and others without any discrimination. The connotations of the word Islām and the implications of its various synonyms, its ethical teachings, rules and laws_ all convey the message of peace. Therefore, a true believer is supposed to be the one, who is endowed with peace. To sustain harmony in the society, Islām prohibits mischief, tribulations, aggression and violation of human rights, such as freedom of religion and life. Likewise, Islām prohibits undue offences against any religion, defiling religious beliefs and the holy books, derogatory remarks against any sacred and reverend personage, and extortion, theft, robbery, usury, etc. The second discourse of this article deals with the Islamic salutations. The objectives of Sharī‘ah, in this regard, are to promote good will, alleviate alienation of addressees, invite non-believers to Islām and augment peaceful relations and coexistence with others. The last section of this discourse deals with the injunctions, related to the rules and ethics of warfare as instructed by Islām.

A Clustering Based Indexing Technique of Modularized Ontologies for Information Retrieval

Indexing plays a vital role in Information Retrieval. With the availability of huge volume of information, it has become necessary to index the information in such a way to make easier for the end users tond the information they want e - ciently and accurately. Keyword-based indexing uses words as indexing terms. It is not capable of capturing the implicit relation among terms or the semantics of the words in the document. To eliminate this limitation, ontology-based indexing came into existence, which allows semantic based indexing to solve complex and indirect user queries. Ontologies are used for document indexing which allows semantic based information retrieval. Existing ontologies or the ones constructed from scratch are used presently for indexing. Constructing ontologies from scratch is a labor-intensive task and requires extensive domain knowledge whereas use of an existing ontology may leave some important concepts in documents un-annotated. Using multiple ontologies can overcome the problem of missing out concepts to a great extent, but it is di cult to manage (changes in ontologies over time by their developers) multiple ontologies and ontology heterogeneity also arises due to ontologies constructed by di erent ontology developers. One possible solution to managing multiple ontologies and build from scratch is to use modular ontologies for indexing. Modular ontologies are built in modular manner by combining modules from multiple relevant ontologies. Ontology heterogeneity also arises during modular ontology construction because multiple ontologies are being dealt with, during this process. Ontologies need to be aligned before using them for modular ontology construction. The existing approaches for ontology alignment compare all the concepts of each ontology to be aligned, hence not optimized in terms of time and search space utilization. A new indexing technique is proposed based on modular ontology. An e cient ontology alignment technique is proposed to solve the heterogeneity problem during the construction of modular ontology. Results are satisfactory as Precision and Recall are improved by (8%) and (10%) respectively. The value of Pearsons Correlation Coe cient for degree of similarity, time, search space requirement, precision and recall are close to 1 which shows that the results are signi cant. Further research can be carried out for using modular ontology based indexing technique for Multimedia Information Retrieval and Bio-Medical information retrieval.