Επεξεργασία ροών χωροκειμενικών δεδομένων
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Keywords
Επεξεργασία συνεχόμενων ροών ; Streaming ; Apache Spark Streaming ; Spatio-textual Similarity JOIN ; Χωροκειμενικά δεδομένα ; Big dataAbstract
Smartphones, wearables, health assistants, instagram, facebook, twitter, tic toc· are
only some -well known- of hundreds of devices and applications that nowdays require
the collection and processing of spatiotextual data in order to provide the best possible
user experience. Therefore, the use of smart devices and sensors has caused a rapid
increase of the amount of data that contain location and text info. As a result,
processing and real-time result extraction needs rise accordingly.
Spatiotextual similarity join of streaming data is one of the foremost operations in
spatiotextual data integration and finds usage in various applications. It refers to the
execution of the needed operations in order to achieve join between the streaming data
that contain spatiotextual info and a set of spatiotextual objects.
For example, let’s assume a set of streaming and a set of static spatiotextual data, as
well as a given spatial range radius and a text similarity threshold. We are attempting to
determine all the similar pairs from the two sets that are in a closer distance than the
given radius, while at the same time their textual similarity ranking is greater than the
given threshold.
It is easily understood that nowadays, the big volume of spatial-textual data and the
need for real-time processing go beyond the possibilities that a centralized system can
offer. Therefore, the development of a system with a decentralized topology that makes
use of parallel processing techniques is considered necessary.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
59Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα