A context aware notification framework based on distributed focused crawling

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Enformatik Enstitüsü, Bilişim Sistemleri Anabilim Dalı, Türkiye

Tezin Onay Tarihi: 2017

Öğrenci: MEHMET ALİ AKYOL

Danışman: PEKİN ERHAN EREN

Özet:

The amount of data generated from sources on the Web has been increasing on a daily basis. Hence, it is time-consuming to follow all these sources to reach the latest information. The way people access information on the Web is usually pull-based, meaning that they query the Web over time to find the most recent blog posts, websites, news, and even weather reports. Accessing the right information at the right time is crucial for both people and businesses to be more productive and efficient. Moreover, the information that cannot be accessed at the right time may lose its value over time. Traditional pull-based methods for obtaining information may cause important knowledge to be overlooked or too late to be noticed. Technologies like RSS enable people to access information from websites through push-based notifications, but they cannot provide a proper solution for people who are being exposed to too much information at inappropriate times. Accordingly, a push-based context aware solution is needed for people who are in need of accessing the right information at the right time. Although some promising studies in the literature have tried to solve this problem, they appear to be insufficient to meet today's big data requirements. In this study, we propose a context aware notification framework based on distributed focused crawling, in order for people to get notifications on relevant information at the right time and location by leveraging the latest advancements in distributed computing and big data analytics technologies.