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Auflistung nach Autor:in "Rashid, Shaimaa"

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  • Konferenzbeitrag
    Cloud-Based Data Classification Framework for Cultural Heritage Conservation
    (INFORMATIK 2024, 2024) Rashid, Shaimaa; Qasha, Rawaa
    Nineveh is one of ancient cities of Iraq, ruled by various civilizations throughout the ages. As a result, Nineveh retains different types of tangible and intangible cultural heritage with different values that show its importance. This research contributes to the digital archiving process of the culture heritage of Nineveh by suggesting a cloud-based framework that classifies the text data obtained from various heterogonous data sources according to the type, values, civilization, and time to which they belong. We used four classical machine learning algorithms to train the classifier, such as Multinomial Naive Bayes, Support Vector Machines, Random Forest, and K Nearest Neighbors. We then chose the classifier with the highest accuracy to classify the obtained texts automatically. The finding showed that the K-Nearest Neighbors classifier is the best classifier to be adopted in the classification process.
  • Konferenzbeitrag
    Real-time collection and archiving of related posts to cultural heritage on the cloud
    (INFORMATIK 2024, 2024) Rashid, Shaimaa; Qasha, Rawaa
    X platform (previously Twitter) produces massive amounts of data related to all aspects of our daily life. Such data can be utilized for archiving interesting information that can be extracted from this data. Since the field of cultural heritage is one of the crucial aspects that a huge number of posts focus on, the daily updates obtained from X have made it possible to record all related posts to the cultural heritage in a comprehensive and real-time way. This data can contribute to the important process of archiving and digitizing the cultural heritage of the ancient community, which is a significant part of its conservation and preservation. This paper is designed to implement a container-based cloud framework for real-time collection and archiving of posts related to the cultural heritage of Nineveh. The framework is designed to manage various types of X data, including images, text data, and video. All collected data is taken from the social media server to the cloud storage.