تکفیری جماعت داعش: افکارو اثرات: تجزیاتی مطالعہ

Since the past few years, muslims all over the world are being brutally accused of severe extremism. Many muslims now a days condemn terrorism and extremism and are not willing to connect these terms with the religion Islam. However there are a few who are in favour of these things. Terrorism is basically caused by a number of different acts of brutality. Its actually a chain reaction caused by the conspiracies against Islam, double standards of different super powers and injustice to the convicted and oppressed. Killings of the innocent and unarmed in the name of aggression is some thing which is totally against the Islamic teachings. Things become more complicated and dangerous when such acts of vandalism are done in the name of religion. Although many goals of ISIS are Islam based, however these very goals are achieved through non-Islamic ways. They feel no shame and go against all the ethics and moral values to reach their goals. Hence causing much more damage to their own muslim fellows. Even the cemetries are no more safe. They kill their opponents in the worst possible way and disrespect the dead bodies by kicking and hanging them to the trees. If this situation persists, it is inevitable that ISIS might replace the Halaku Khan and Genghiz Khan is brutality.

Ontology for Inter-Research Paper Similarity Measures Cores and its Applications

A large number of research papers are being published and indexed regularly by systems such as search engines, citation indexers, and digital libraries, enabling re searchers to explore through these papers. Most of the users feel frustrated due to the large number of results for similar research papers with many of these results are not similar at all. A careful analysis of these systems to find similar research papers reveals a major problem that research paper based similarity measuring techniques have not been conceptually modelled to find the similarity measures with a reasonable accuracy. In order to solve this problem an ontology to model the domain of research papers similarity measures is required. While surveying content based similarity measuring techniques, it was found that these techniques were not integrated with each other, to formulate a hybrid technique without overlappings and redundancies in methods and features. We have surveyed differ ent ontologies relevant to research paper similarity measures domain, finding that none of these were modeling this domain. In this thesis, content based similarity measuring techniques were modelled in the form of ontology named as COReS (Content based Ontology for Research paper Similarity) which has been evaluated using automated evaluation tools and user study based evaluation techniques. An important application of COReS is finding research paper similarity measures in a comprehensively by using knowledge about relationships between different sim ilarity measuring techniques demonstrated using four use cases. An experiment was also performed on a gold standard data set of research papers to compute comprehensive similarity measures using COReS. The results of Fractional Re gression Coefficient (Percentage Difference) between user study based similarity measure (as a benchmark) and comprehensive similarity measure were computed. It was found that comprehensive similarity measure was more correlated to user study based similarity measure with a value of 47% for Fractional Regression Co efficient as compared to vector space based and InText citation based similarity measuring techniques and their combinations. COReS models only the content based similarity measuring techniques, the model can be extended for other simi larity measuring techniques for example Collaborative Filtering, Item Centric etc. COReS can also be aligned with other relevant ontologies (SPAR) to enhance its adaptation by community.