List of Articles دادگان

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  1 - A framework for establishing a national data vault for Data Governance institution
  Nader naghshineh fatima fahimnia hamidreza Ahmadian chashmi
  20.1001.1.27170411.1400.13.49.2.7
  the goal of this research is mainly presenting a framework for national data with the concentration on parameters respecting data governance in order to design an effective and comprehensive pattern for all spots interacting with national data. The author has adopted de More

  the goal of this research is mainly presenting a framework for national data with the concentration on parameters respecting data governance in order to design an effective and comprehensive pattern for all spots interacting with national data. The author has adopted descriptive approach and mixed method for this research. In the first step, the articles regarding national data organization are extracted and subsequently accorded with the articles based on technology ecosystem design patterns, 10 key components are formed as main modules. Thereafter, for each module, indexes and sub-indexes are taken into account by considering articles and also taking advantages of interviews and Delphi method. by designing two questionnaires, strategy-management and technical-lawful oriented, total number of 22 indexes and 154 sub-indexes are collected. the research has the capacity of being a scientific reference for the national data vault. it is recommended that development of technical infrastructure and data governance patterns in national level accorded with indexes and sub-indexes counted in this research Manuscript profile
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  2 - Survey on the Applications of the Graph Theory in the Information Retrieval
  Maryam Piroozmand Amir Hosein Keyhanipour Ali Moeini
  Due to its power in modeling complex relations between entities, graph theory has been widely used in dealing with real-world problems. On the other hand, information retrieval has emerged as one of the major problems in the area of algorithms and computation. As graph- More

  Due to its power in modeling complex relations between entities, graph theory has been widely used in dealing with real-world problems. On the other hand, information retrieval has emerged as one of the major problems in the area of algorithms and computation. As graph-based information retrieval algorithms have shown to be efficient and effective, this paper aims to provide an analytical review of these algorithms and propose a categorization of them. Briefly speaking, graph-based information retrieval algorithms might be divided into three major classes: the first category includes those algorithms which use a graph representation of the corresponding dataset within the information retrieval process. The second category contains semantic retrieval algorithms which utilize the graph theory. The third category is associated with the application of the graph theory in the learning to rank problem. The set of reviewed research works is analyzed based on both the frequency as well as the publication time. As an interesting finding of this review is that the third category is a relatively hot research topic in which a limited number of recent research works are conducted. Manuscript profile
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  3 - Noor Analysis: A Benchmark Dataset for Evaluating Morphological Analysis Engines
  Huda Al-Shohayyeb Behrooz Minaei Mohammad Ebrahim Shenassa Sayyed Ali Hossayni
  20.1001.1.27170411.1402.15.57.11.6
  The Arabic language has a very rich and complex morphology, which is very useful for the analysis of the Arabic language, especially in traditional Arabic texts such as historical and religious texts, and helps in understanding the meaning of the texts. In the morpholog More

  The Arabic language has a very rich and complex morphology, which is very useful for the analysis of the Arabic language, especially in traditional Arabic texts such as historical and religious texts, and helps in understanding the meaning of the texts. In the morphological data set, the variety of labels and the number of data samples helps to evaluate the morphological methods, in this research, the morphological dataset that we present includes about 22, 3690 words from the book of Sharia alـIslam, which have been labeled by experts, and this dataset is the largest in terms of volume and The variety of labels is superior to other data provided for Arabic morphological analysis. To evaluate the data, we applied the Farasa system to the texts and we report the annotation quality through four evaluation on the Farasa system. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  4 - Survey on the Applications of the Graph Theory in the Information Retrieval
  Maryam Piroozmand Amir Hosein Keyhanipour Ali Moeini
  Due to its power in modeling complex relations between entities, graph theory has been widely used in dealing with real-world problems. On the other hand, information retrieval has emerged as one of the major problems in the area of algorithms and computation. As graph- More

  Due to its power in modeling complex relations between entities, graph theory has been widely used in dealing with real-world problems. On the other hand, information retrieval has emerged as one of the major problems in the area of algorithms and computation. As graph-based information retrieval algorithms have shown to be efficient and effective, this paper aims to provide an analytical review of these algorithms and propose a categorization of them. Briefly speaking, graph-based information retrieval algorithms might be divided into three major classes: the first category includes those algorithms which use a graph representation of the corresponding dataset within the information retrieval process. The second category contains semantic retrieval algorithms which utilize the graph theory. The third category is associated with the application of the graph theory in the learning to rank problem. The set of reviewed research works is analyzed based on both the frequency as well as the publication time. As an interesting finding of this review is that the third category is a relatively hot research topic in which a limited number of recent research works are conducted. Manuscript profile