A Context Aware Notification Architecture Based on Distributed Focused Crawling in the Big Data Era

Date

2017-09-08

Author

AKYOL, MEHMET ALİ
Gökalp, Mert Onuralp
Kayabay, Kerem
Eren, Pekin Erhan
Koçyiğit, Altan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The amount of data created in various sources over the Web is tremendously increasing. Trying to keep track of relevant sources is an increasingly time-consuming task. The traditional way of accessing information over the Web is pull-based. Users need to query data sources in certain time intervals where an important piece of information can be lately recognized or even missed completely. Technologies including RSS help users to get push-based notifications from websites. Discovering the relevant information without a notification overload is still not possible with existing technologies. Despite some promising efforts in push-based architectures to solve this problem, they fall short to meet the requirements in the big data era. In this study, by leveraging the latest advancements in distributed computing and big data analytics technologies, we use a focused crawling approach to propose a context aware notification architecture for people to find desired information at its most valuable state.

Subject Keywords

Big data, Stream processing, Distributed focused crawling, Context aware notifications, Distributed complex event processing

URI

https://hdl.handle.net/11511/32408

DOI

https://doi.org/10.1007/978-3-319-65930-5_3

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

M. A. AKYOL, M. O. Gökalp, K. Kayabay, P. E. Eren, and A. Koçyiğit, “A Context Aware Notification Architecture Based on Distributed Focused Crawling in the Big Data Era,” 2017, vol. 299, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32408.