scholarly journals Business Reputation of Social Networks of Web Services

2015 ◽  
Vol 56 ◽  
pp. 18-25 ◽  
Author(s):  
Zakaria Maamar ◽  
Gianpiero Costantino ◽  
Marinella Petrocchi ◽  
Fabio Martinelli
Keyword(s):  
Social Networks ◽  
Web Services

A SOA-Based System for Territory Monitoring

2011 ◽  
pp. 426-454 ◽  
Author(s):  
Elena Roglia ◽  
Rosa Meo
Keyword(s):  
Social Networks ◽  
Web Services ◽  
System Architecture ◽  
Information Sources ◽  
Streaming Video ◽  
Tactical Planning ◽  
Spatial Objects ◽  
The Social ◽  
On Line ◽  
The Web

Next is a presentation of the complete system architecture, followed by a discussion of the details of the various services. Amongst these services, management and simulation of tactical planning, management of data and streaming video, the system also presents a service for the annotation of the interested spatial objects. Annotation deploys the web services (Alonso, Casati, Kuno, & Machiraju, 2004) exported by OpenStreetMap (OpenStreetMap) with the purpose to exploit the on-line information sources continuously updated by the social networks communities.

LinkedWS: A novel Web services discovery model based on the Metaphor of “social networks”

2011 ◽  
Vol 19 (1) ◽  
pp. 121-132 ◽  
Author(s):  
Zakaria Maamar ◽  
Leandro Krug Wives ◽  
Youakim Badr ◽  
Said Elnaffar ◽  
Khouloud Boukadi ◽  
...  
Keyword(s):  
Social Networks ◽  
Web Services ◽  
Model Based

Social Web Services Research Roadmap

2013 ◽  
pp. 220-233 ◽  
Author(s):  
Zakaria Maamar ◽  
Jamal Bentahar ◽  
Noura Faci ◽  
Philippe Thiran
Keyword(s):  
Social Networks ◽  
Web Services ◽  
Web 2.0 ◽  
Social Web ◽  
Web 2.0 Technologies ◽  
Services Research ◽  
Security Engineering ◽  
Widespread Adoption ◽  
Recent Developments ◽  
New Research

There is a growing interest in the research and industry communities to examine the possible weaving of social elements into Web services-based applications. This interest is backed by the widespread adoption of Web 2.0 technologies and tools developed using various online means such as social networks and blogs. Social Web services incorporate the result of this weaving and are concerned with establishing relationships with their peers like people do daily. This chapter reviews the recent developments in this new topic and identifies new research opportunities and directions that are still unexplored such as security, engineering, reputation, trust, and argumentation.

Why Web Services Need Social Networks

2011 ◽  
Vol 15 (2) ◽  
pp. 90-94 ◽  
Author(s):  
Zakaria Maamar ◽  
Hakim Hacid ◽  
Michael N Huhns
Keyword(s):  
Social Networks ◽  
Web Services

An Overview of Methodologies and Challenges in Sentiment Analysis on Social Networks

2020 ◽  
pp. 204-213
Author(s):  
Aditya Suresh Salunkhe ◽  
Pallavi Vijay Chavan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Web Services ◽  
Sentiment Analysis ◽  
Real Time ◽  
Quality Analysis ◽  
Election Campaign ◽  
Real Time Analysis ◽  
User Comments ◽  
The Web

The expeditious increase in the adoption of social media over the last decade, determining and analyzing the attitude and opinion of masses related to a particular entity, has gained quite an importance. With the landing of the Web 2.0, many internet products like blogs, community chatrooms, forums, microblog are serving as a platform for people to express themselves. Such opinion is found in the form of messages, user-comments, news articles, personal blogs, tweets, surveys, status updates, etc. With sentiment analysis, it is possible to eliminate the need to manually going through each and every user comment by focusing on the contextual polarity of the text. Analyzing the sentiments could serve a number of applications like advertisements, recommendations, quality analysis, monetization provided on the web services, real-time analysis of data, analyzing notions related to candidates during election campaign, etc.

Social Networks and Web Services-Based Systems

2010 ◽  
pp. 902-907
Author(s):  
Zakaria Maamar ◽  
Leandro Krug Wives
Keyword(s):  
Social Networks ◽  
Web Services ◽  
Web Service ◽  
Web Services Composition ◽  
Services Composition ◽  
Business Applications ◽  
Composite Web Service ◽  
Different Types ◽  
New Type ◽  
Over Time

Web services are paving the way for a new type of business applications. This can be noticed from the large number of standards and initiatives related to Web services (Margaria, 2007; Papazoglou et al., 2007; Yu et al., 2008), which tackle a variety of issues such as security, fault tolerance, and substitution. These issues hinder the automatic composition of Web services. Composition handles the situation of a user’s request that cannot be satisfied by any single, available Web service, whereas a composite Web service obtained by combining available Web services may be used. Despite the tremendous capabilities that empower Web services, they still lack some capabilities that would propel them to a higher level of adoption by the IT community and make them compete with other integration middleware like CORBA and .Net. As a result, Web services adoption could be slowed down if some issues such as the complexity of their discovery are not properly addressed (Langdom, 2003). For this particular issue of discovery, we examine in this chapter the use of social networks (Ethier, visited in 2008; Wasserman and Glaskiewics, 1994). Such networks permit to establish between people relationships of different types like friendship, kinship, and conflict. These relationships are dynamic and, hence, adjusted over time depending on different factors like outcomes of previous interaction experiences, and natures of partners dealt with. Replacing people with Web services is doable since Web services constantly engage in different types of interaction sessions with users and peers as well

A Framework for Interfacing Unstructured Data Into Business Process From Enterprise Social Networks

2017 ◽  
Vol 13 (4) ◽  
pp. 15-30 ◽  
Author(s):  
Amjed Al-Thuhli ◽  
Mohammed Al-Badawi ◽  
Youcef Baghdadi ◽  
Abdullah Al-Hamdani
Keyword(s):  
Social Networks ◽  
Web Services ◽  
Business Process ◽  
Business Processes ◽  
Unstructured Data ◽  
Business Applications ◽  
Document Frequency ◽  
Enterprise Social Networks ◽  
Barriers And Challenges ◽  
Restful Web Services

The increased number of Enterprise Social Networks (ESN) business applications has had a major impact on organizations' business processes improvements by allowing the involvement of human interactions to these process. However, these applications generate unstructured data which create barriers and challenges to offering the data in the form of web services in a SOA environment, which again impacts negatively the business process. In this context, the authors propose a framework to interface ESN unstructured data into BP using text mining techniques. The Term frequency-inverse document frequency is used as a weighting schema in this framework. After that, the cosine similarity and k-mean are utilized to find similar values from different documents and cluster documents into groups respectively. The result of the evaluation of the framework shows promising results for retrieving social unstructured data. These results can be published into the SOA enterprise service bus using the RESTful web services.

A Framework for Interfacing Unstructured Data Into Business Process From Enterprise Social Networks

2019 ◽  
pp. 686-702
Author(s):  
Amjed Al-Thuhli ◽  
Mohammed Al-Badawi ◽  
Youcef Baghdadi ◽  
Abdullah Al-Hamdani
Keyword(s):  
Social Networks ◽  
Web Services ◽  
Business Process ◽  
Business Processes ◽  
Unstructured Data ◽  
Business Applications ◽  
Document Frequency ◽  
Enterprise Social Networks ◽  
Barriers And Challenges ◽  
Restful Web Services

The increased number of Enterprise Social Networks (ESN) business applications has had a major impact on organizations' business processes improvements by allowing the involvement of human interactions to these process. However, these applications generate unstructured data which create barriers and challenges to offering the data in the form of web services in a SOA environment, which again impacts negatively the business process. In this context, the authors propose a framework to interface ESN unstructured data into BP using text mining techniques. The Term frequency-inverse document frequency is used as a weighting schema in this framework. After that, the cosine similarity and k-mean are utilized to find similar values from different documents and cluster documents into groups respectively. The result of the evaluation of the framework shows promising results for retrieving social unstructured data. These results can be published into the SOA enterprise service bus using the RESTful web services.

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