Hadith's source of reference finder browser extension / Mohamad Hafiz Khairuddin … [et al.]

Hadith is referred by Muslims after Al-Quran which contains words and acts of Prophet Muhammad (pbuh). Fast growth of internet and social media technology makes the Hadith not only can be found and read through from the internet but it is also can be shared and went viral as well. This creates an issue where people shared it on the internet does not make sufficient research on the authenticity of the hadith as well as its source of reference. This could lead to a possibility that people might mistakenly share a fabricated hadith over the internet. The dangers of sharing false hadith has been warned by the Prophet Muhammad (pbuh) in Sahih Al-Bukhari, Book No. 3, hadith no 109. Hadith's Source of Reference Finder Browser Extension is designed to help the internet user to check if the hadith that they found on the web has a valid source of reference. With this browser extension, even though it cannot replace any hadith experts to validate the authenticity of a particular hadith, it can promote a more cautious approach to the society when dealing with any hadith found on the internet. It is intended to encourage the internet users to at least, search whether a particular hadith found on the internet has a valid source of reference before they want to share or viral it over the internet. The designed browser extension uses Google Chrome browser as its platform. System Development Life Cycle is used as its development methodology to properly construct the browser extension. The browser extension prototype enables the internet user to check the reference source of the hadith by inserting a copied hadith text from the internet into the extension‘s text input box and the output will be displayed along with its similarity percentage of the original text. This paper discusses on how ICT technology can be used to encourage the public to take the initiative to check the source of reference pertaining to any Islamic material found in the internet

Comparison between relational database and XML in querying motif sequence

An enterprise information approach is the process of building models which include with process models, data models and resource models. An enterprise in general is a unit of economic organization or activity which these activities are required to develop and deliver products or services to a customer. An enterprise also includes a number of functions and operations. The aim of this research is to study an enterprise approach and their appropriate model to integrate multiple biological data use by the scientist in protein secondary structure prediction process. This project needs to investigates the data format and database will be use by the scientist at the Bioinformatics Research Lab, FBB, UTM in order to predict protein secondary structure process. The size, complexity and number of database used for predict protein secondary structure process and integrating all the data from the different database into one database is a challenging problem. This project approach have integrated different database such as Prosite, Blast, Prints and PDB and transformed these databases in flat file format and other format into relational form using XML and asp.net. As a result, this project showed some tool can search different data and different sizes of protein secondary structure data stored in the relational database and the result can be retrieved faster and reliable compared to XQuery direct from the XML file. A prototype web based user interface is provided to allow user access and search for protein secondary structure prediction in repository and local relational database

Integrated the different data from the variety database for querying motif sequence / Mohd Taufik Mishan, Zanariah Idrus and Jasmin Ilyani Ahmad

In performing protein secondary structure prediction procedures, biologists need to use variety types of sequence data from multiple biological repositories which are available publicly in the Internet. A lot of researches have been done in minimizing the numbers of repositories needed for the prediction procedures. However, due to the size complexity and numbers of repositories used has created a major challenge in integrating all different data into one repository or database. This challenge is known as syntactic heterogeneity problem. The aim of this research is to overcome the problem by transforming all the different data form variety of databases such as Prosite, Blast, Print and PDB into flat file format and other format into relational form using XML and asp dot net. From studies that have been conducted, XML approach is considered as a better choice for biological data integration. And this research has reveals that query made from relational database incorporating XML schema gives better query performance after integrating the variety data into one repository or relational database using metadata framework. As a result, this research showed some tool can search different data and different sizes of protein secondary structure data stored in the relational database and the result can be retrieved faster and reliable