): Association of Information & Communication Technology of Iran 5 17 2015 3 1 1 22 FA hobaza@yahoo.com msaleh@ihu.ac.ir f_noorani@pnu.ac.ir http://jor.iranaict.ir/article-1-204-en.html http://jor.iranaict.ir/article-1-204-en.pdf

): Association of Information & Communication Technology of Iran 5 17 2015 3 1 An Information Architecture Framework for Utilizing Social Networks in Iranian Higher Education System 23 42 FA Gholamali montazer Tarbiat Modares University montazer@modares.ac.ir Mehrab ali Golshani Rosta Tarbiat Modares University Management of social networks, has become a strategic challenge for different applications including education due to its growing importance. Enterprise Architecture (EA), uses a holistic specification of information technology functions in organizations to decrease the complexity of using information technology and to increase its efficiency. As regards, using social networks in education in most countries of the world has not yet finished its preliminary stages, so for this reason there is no standard framework and model. The aim of this paper is to design an appropriate architecture framework for utilizing social networks in higher education system in Iran. To do this,first the concept of social networks and its applications at educational environment have been investigated.Then the concept of enterprise architecture and information architecture framework are studied, Zachman framework has been selected as the main tool and then using questionnaire the vital aspects of implementing social networks in higher education have been identified from the views of experts. The findings of study indicate the main reasons for the use of social networks in higher education (strategy), the most important actors in this field (people), the infrastructure needed (infrastructure), the data and information required in this environment (data) and also the processes required to fulfill the social network of learning (process). The main characteristic of the final framework is a presentation of a comprehensive framework for using social network in education system with attention to local considerations. social network, e_learning, information architecture framework, zachman framework, higher education of Iran. http://jor.iranaict.ir/article-1-189-en.html http://jor.iranaict.ir/article-1-189-en.pdf

): Association of Information & Communication Technology of Iran 5 17 2015 3 1 Effect of Menu Location on Visual Attention of Users of Websites 43 56 FA Fatemeh Seif Department of Ergonomics, University of Social Welfare & Rehabilitation Sciences f.seif134@yahoo.com Reza Osqueizadeh Department of Ergonomics, University of Social Welfare & Rehabilitation Sciences Reza.osquei@gmail.com Objective: In order to identify users’ visual attention to left- and right-aligned menus on web pages, fixation count index (FCI) was assessed for both left and right menus using eye tracker to determine which menu is preferred by users in terms of visual attention. Methodology: In total, 116 pages with their menus aligned to left or right, classified into three groups, namely Persian pages, English pages, and Persian-English pages, were shown to 30 subjects who were asked to find a certain word in the menus. Eye tracker was used to collect and record the data pertaining to users’ fixation counts on each menu, as an indicator of their visual attention to the menus. Findings: No difference was found in terms of total fixation count on English pages with respect to menu direction (right or left). However, users’ total fixation counts varied, depending on menu direction (right or left), for Persian pages, Persian-English pages and, in general, for all pages of three sets, indicating a larger fixation count for right-side menus compared to the menus placed at the left side. Conclusion: Given the larger fixation count for right-aligned menus obtained in the present study and the well-established advantages of this type of menus, and since predictability of left-aligned menu has been an advantage in cultures where native languages are read from left to right, and because the previous studies have led to somehow mixed findings on fast performance of tasks and interaction with left-aligned menus, web designers and developers are recommended to use right-aligned menus in designing internal websites. Eye Tracker, Menu, Visual Attention, WebPages http://jor.iranaict.ir/article-1-287-en.html http://jor.iranaict.ir/article-1-287-en.pdf

): Association of Information & Communication Technology of Iran 5 17 2015 3 1 A Managerial Examination of the Successful Parameters in the B2C Business 57 72 FA shila mosammami University of Guilan sheila.mossammamy@gmail.com mahmoud moradi University of Guilan m.moradi@guilan.ac.ir asadollah shahbahrami University of Guilan shahbahrami@guilan.ac.ir Currently, Electronic Commerce (EC) is a dynamic channel for trading. Because proposed simplicity and speed are competitive advantages which traditional organizations are unable to compete with them and thus not only individuals but also governments need its presence. According to our study, the success of an EC system is arranged by 3 different categories named: Technical Characteristic View, Psychosocial Characteristic View and Managerial Characteristic View. But the managerial characteristic view is going to be argued in this research. Statistical population in this research has been 344 students of university of Guilan and their shopping behavior has been collected with offline and online questionnaires in a limited period of time. Consequently, extracted knowledge for further researches is argued in the following sections. B2C E-Commerce, Trust, ECRM, Consumer Satisfaction, Consumer Loyalty http://jor.iranaict.ir/article-1-279-en.html http://jor.iranaict.ir/article-1-279-en.pdf

): Association of Information & Communication Technology of Iran 5 17 2015 3 1 Document Clustering Based On Ontology and Fuzzy Approach 73 96 FA maryam_amiri2005_1365@yahoo.com Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important steps in document clustering are how documents are represented and the measurement of similarities between them. By giving a new ontological representation and a similarity measure, this research focuses on improving the performance of text clustering. The text clustering algorithm has been investigated in three aspects: ontological representation of documents, documents similarity measure, fuzzy inference system to measuring the final similarities. Ultimately, the clustering is carried out by bottom-up hierarchical clustering. In the first step, documents are represented as ontological graph according to domain knowledge. In contrast to keywords method, this method is based on domain concepts and represents a document as subgraph of domain ontology. The extracted concepts of document are the graph nodes. Weight is measured for each node in terms of concept frequency. The relation between documents’ concepts specifies the graph edges and the scope of the concepts’ relation determines the edge’s weight. In the second step, a new similarity measure has been presented proportional to the ontological representation. For each document, main and detailed concepts and main edges are determined. The similarity of each couple of documents is computed in three amounts and according to these three factors. In the third step, the fuzzy inference system with three inputs and one output has been designed. Inputs are the similarities of main concepts, detailed concepts and the main edges of two documents and the output is final similarities of the two documents. In final step, a bottom-up hierarchical clustering algorithm is used to clustering the documents according to final similarity matrix. In order to evaluate, the offered method has been compared with the results of Naïve Bayes method and ontology based algorithms. The results indicate that the proposed method improves the precision, recall, F-measure and accuracy and produces more meaningful results. Document Clustering, Ontological Graph, Similarity Measure, Fuzzy Inference System http://jor.iranaict.ir/article-1-157-en.html http://jor.iranaict.ir/article-1-157-en.pdf

): Association of Information & Communication Technology of Iran 5 17 2015 3 1 طراحی اولین پایگاه داده کلمات دستنویس کردی برای سیستم های تشخیص تصویری کلمات 96 108 FA چکیده: یکی از اجزای زیربنایی سیستم های تشخیص تصویری کلمات پایگاه داده هاست. هر سیستمی که در این زمینه طراحی گردد لاجرم می بایست از یک نوع پایگاه داده ها استفاده کند. بدیهی است چون موضوع مورد مطالعه در این سیستم ها شکل نوشتاری زبان های مختلف میباشد پس برای هر زبان مشخص پایگاه داده بخصوصی لازم است. زبانی که این مقاله بر آن متمرکز شده کردی است و در این مقاله مراحل مختلف چگونگی طراحی اولین پایگاه داده دستنویس برای زبان کردی شرح داده شده است. از آنجا که تاکنون هیچ پایگاه داده ای مخصوص تشخیص تصویری کلمات، مربوط به زبان کردی طراحی نشده است بنابراین زمینه ای بکر و مستعد برای انجام تحقیق محسوب می گردد. همچنین با توجه به اینکه زبان کردی دارای دو رسم الخط مختلف لاتین و آرامی می باشد در این مقاله منحصرا به رسم الخط آرامی البته از نوع دستنویس آن پرداخته شده است. سیستم های تشخیص تصویری کلمات, پایگاه داده ها, زبان کردی, دستنویس http://jor.iranaict.ir/article-1-315-en.html http://jor.iranaict.ir/article-1-315-en.pdf