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

Author(s):  
Kashif Ali ◽  
Margaret Hamilton ◽  
Charles Thevathayan ◽  
Xiuzhen Zhang
2021 ◽  
Author(s):  
Kashif Ali ◽  
Margaret Hamilton ◽  
Charles Thevathayan ◽  
Xiuzhen Zhang

Abstract Social media provides an infrastructure where users can share their data at an unprecedented speed without worrying about storage and processing. Social media data has grown exponentially and now there is major interest in extracting any useful information from the social media data to apply in various domains. Currently, there are various tools available to analyze the large amounts of social media data. However, these tools do not consider the diversity of the social media data, and treat social media as a uniform data source with similar features. Thus, these tools lack the flexibility to dynamically process and analyze the social media data according to its diverse features. In this paper, we develop a `Big Social Data as a Service' (BSDaaS) composition framework that extracts the data from various social media platforms, and transforms it into useful information. The framework provides a quality model to capture the dynamic features of social media data. In addition, our framework dynamically assesses the quality features of the social media data and composes appropriate services required for various information analyses. We present a social media based sentiment analysis system as a motivating scenario and conduct experiments using real-world datasets to show the efficiency of our approach.


2019 ◽  
Vol 11 (5) ◽  
pp. 1458 ◽  
Author(s):  
Matías Guerrero-Gatica ◽  
Enrique Aliste ◽  
Javier Simonetti

There are two barriers to accomplishing restoration of ecosystems: insufficient information about historical baselines to guide restoration, and shifts between the actual baselines and perceptions about historical conditions. These two conditions generate a phenomenon called shifting baseline syndrome (SBS). Our study systematically reviewed and quantitatively analyzed the SBS studies. There is an increase and subsequent stabilization in the number of publications, 32% of scientific articles added new information and 5% of them delivered biological and social information required to demonstrate the SBS presence. Meta-analysis conducted showed an inconsistency between biological and social data. The inclusion of a greater amount of species in the biological data compared to social data produced the inconsistency. There must be an improvement in reporting both biological and social information to assess SBS. The integration of both sources of information would also enhance the success of restoration projects. The consideration of perceptions about resource users are also in accordance with global agreements about sustainable use of natural resources and ecological restoration.


Author(s):  
Hao Wu ◽  
Jun Chen ◽  
Huaqiao Xing ◽  
Songnian Li ◽  
Juju Hu

Web service composition is one of the key issues to develop a global land cover (GLC) information service portal. Aiming at the defect that traditional syntax and semantic service compositionare difficult to take pragmatic information into account, the paper firstly analyses three tiers of web service language and their succession relations, discusses the conceptual model of pragmatic web service, and proposes the idea of pragmatics-oriented adaptive composition method based on the analysis of some examples. On this basis it puts forward the pragmatic web service model based on Behavior-Intention through presetting and expression of service usability, users' intention, and other pragmatic information, develops the on-demand assembly method based on the agent theory and matching and reconstruction method on heterogeneous message, solves the key technological issue of algorithm applicability and heterogeneous message transformation in the process of covering web service composition on the ground, applies these methods into service combination, puts forward the pragmatic driven service composition method based on behavior-intention model, and effectively settles the issue of coordination and interaction of composite service invocation.


Author(s):  
Hao Wu ◽  
Jun Chen ◽  
Huaqiao Xing ◽  
Songnian Li ◽  
Juju Hu

Web service composition is one of the key issues to develop a global land cover (GLC) information service portal. Aiming at the defect that traditional syntax and semantic service compositionare difficult to take pragmatic information into account, the paper firstly analyses three tiers of web service language and their succession relations, discusses the conceptual model of pragmatic web service, and proposes the idea of pragmatics-oriented adaptive composition method based on the analysis of some examples. On this basis it puts forward the pragmatic web service model based on Behavior-Intention through presetting and expression of service usability, users' intention, and other pragmatic information, develops the on-demand assembly method based on the agent theory and matching and reconstruction method on heterogeneous message, solves the key technological issue of algorithm applicability and heterogeneous message transformation in the process of covering web service composition on the ground, applies these methods into service combination, puts forward the pragmatic driven service composition method based on behavior-intention model, and effectively settles the issue of coordination and interaction of composite service invocation.


2019 ◽  
Vol 12 (4) ◽  
pp. 205
Author(s):  
Yang Sun ◽  
Zuoqin Shi ◽  
Ling Zhao ◽  
Sumin Li ◽  
Zhenshi Zhang ◽  
...  

2012 ◽  
Vol 9 (4) ◽  
pp. 24-44
Author(s):  
Salah-Eddine Tbahriti ◽  
Brahim Medjahed ◽  
Chirine Ghedira

The concept of Web service composition has undergone many evolutions and improvements including especially the apparition of new category of services, on which the composition process is made, called “Data-As-A-Service (DaaS). However, privacy is still among the key challenges that keep hampering DaaS service composition solution. Indeed services may follow different, conflicting privacy specifications with respect to the data they use and provide within a composition. In this paper, the authors propose an approach for privacy- aware composition of DaaS services. The authors’ approach allows verifying the compatibility of privacy specifications of services involved in a composition. In the case when any composition will be incompatible in terms of privacy, the authors introduce a novel approach based on negotiation to reach compatibility of concerned services. The negotiation approach is cautiously operated with without any privacy damaging of services. The authors validate the applicability of their proposal through a set of experiments.


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