یک طرفہ محبت کا قصہ جو لکھا ہوتا
دیوانہ ہے، چھوڑو نا! بس تم نے کہا ہوتا
تم یاد کرو بیٹھے اب قیس میاں ہی کو
میں ایک صدا کرتی دشت آن کھڑا ہوتا
پتھرائی ہوئی آنکھیں رستہ ہوئی جاتی ہیں
اک بار پلٹ آتے، وعدہ تو وفا ہوتا
بے مول ہوا ہے اب، انمول کبھی تھا یہ
دل ہم کو دیا ہوتا، احسان کیا ہوتا
قاصر تھی زباں تیری جاتے ہوئے کہنے سے
آنکھوں سے کہا ہوتا، اس دل نے سنا ہوتا
اک اور غزل کہہ دوں حسرتؔ کی زمیں ہے خوب
احوال سنانے کو جو تم نے کہا ہوتا
پھر درد دوا ہوتا اور چاند نگر مسکن
پہلو میں فضاؔ کے گر وہ شخص کھڑا ہوتا
Islām is a religion of peace and it gives great importance to peace. Islamic teachings and laws are meant to create and maintain peace in the human society. But, unfortunately, Islām has been targeted as a source of terrorism, today. In this article, the author tries to defend Islām and differentiate between Jihād and terrorism. The word terrorism needs to be seen in its historical perspective. Different definitions of terrorism have been presented, but still it is an ambiguous term. In this paper, the author tries to define terrorism in the Islamic perspective. This paper discusses the points given below: m The concept of terrorism, its manifestations and types. M Encountering and prevention of terrorism from Islamic perspective. M Islām and the global brotherhood. M The punishment of terrorism. M The religious viewpoint against a cruel government. M The peaceful struggle against cruelty and injustice. Also, the difference between terrorism and jihad has been clarified. The rules and regulations of Jihād make it clear that it has nothing to do with terrorism, which is an unruly activity. A Muslim is supposed to be a peaceful citizen, who can never indulge in any act of terrorism. The rebellion against the rulers has also been discussed to draw the conclusion that it is not allowed except against the blatant kufr. The objectives of the Islamic punishments indicate the Islamic approach to minimize terrorism in the human society.
Natural Language Interfaces to Databases (NLIDB) is an area of research that deals with the representation of users request to database in their native language. Currently, data warehouses are widely used by enterprises for decision making. It is important to mention that characteristics of decision-making systems are inherently different from transactional systems. The users of decision-making systems are top management (executives) who are normally non-technical having less knowledge of the data warehouse schema and about writing database technical queries. In fact, ad-hoc query is the information need of user that may not be fulfilled with front-end tools having predefined capabilities e.g. Reporting, OLAP or Data mining tools etc. Such information needs are not easy to express in technical query language. This motivated us to propose a Natural Language Based Retrieval System for Data Warehouse (NLRSDW) to support users especially in the ad-hoc query development.A Logical Schema-based Mapping (LSM) technique has been developed. Using this technique, targeted search is performed efficiently in the data instances. For targeted search, a LSM oriented mechanism has been presented. In addition, 3 searching strategies are elaborated which include 1) Identified elements searching 2) Proximal elements searching and 3) Level-wise searching to retrieve the matching instances for each data value. The retrieved instances are ranked with 5 criterions based on which an algorithm has been developed. Furthermore, solution to identify the aggregation constructs (i.e. aggregation function, measure, level and grouping attributes) accurately has been presented. Data Warehouses maintain aggregated computations to efficiently answer queries on large volume of data. It is very challenging task to interpret accurate aggregation constructs from the keyword-based query written on the Natural Language Interface to Data Warehouse. Later, a semi-automatic approach to build the Data Warehouse logical Schema-based Domain Thesaurus is proposed.This approach takes the Data Warehouse logical Schema as input and generates Domain Thesaurus using multiple sources containing Schema, Data Instances, WordNet, WWW and Domain Repository. The Thesaurus evolution approach is also presented which shows how Thesaurus can be technically expanded at user query time.An in-depth experimental evaluation has been carried out in comparison to existing systems. The results are encouraging. Using NLRSDW, non-technical users can easily write any ad-hoc information need in natural language. As a result, executives do not have to take support of IT staff and time to develop query is negligible.