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2018 | OriginalPaper | Buchkapitel

Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis

verfasst von : Kashif Ali, Margaret Hamilton, Charles Thevathayan, Xiuzhen Zhang

Erschienen in: Web Services – ICWS 2018

Verlag: Springer International Publishing

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Abstract

We propose a ‘Big Social Data as a Service’ (BSDaaS) composition framework that extracts the data from social information services, and transforms it into useful information. We propose a novel service quality model to capture the dynamic features of social information services. We devise a quality model driven composition mechanism by using graph-planning. We use social information services based sentiment analysis as our motivating scenario. Experiments are conducted on real-world datasets and results show the efficiency of our approach.

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Vorheriges Kapitel Design of a Secure Shield for Internet and Web-Based Services Using Software Reflection

Nächstes Kapitel Efficient Multi-user Service Selection Based on the Transportation Problem

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Titel: Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis
verfasst von: Kashif Ali
Margaret Hamilton
Charles Thevathayan
Xiuzhen Zhang
Verlag: Springer International Publishing
Buch: Web Services – ICWS 2018
Print ISBN: 978-3-319-94288-9

Electronic ISBN: 978-3-319-94289-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-94289-6_31

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