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The Uncertain Web: Concepts, Challenges, and Current Solutions
Djamal Benslimane, Quan Z. Sheng, Mahmoud Barhamgi, Henri Prade
Article No.: 1
Witnessing the wide spread of malicious information in large networks, we develop an efficient method to detect anomalous diffusion sources and thus protect networks from security and privacy attacks. To date, most existing work on diffusion...
One of the main challenges in data matching and data cleaning, in highly integrated systems, is duplicates detection. While the literature abounds of approaches detecting duplicates corresponding to the same real-world entity, most of these...
Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. In this article, we present a novel framework that supports anomaly...
Using an Epidemiological Approach to Maximize Data Survival in the Internet of Things
Abdallah Makhoul, Christophe Guyeux, Mourad Hakem, Jacques M. Bahi
Article No.: 5
The Internet of Things (IoT) has gained worldwide attention in recent years. It transforms the everyday objects that surround us into proactive actors of the Internet, generating and consuming information. An important issue related to the...
Constructing Maintainable Semantic Relation Network from Ambiguous Concepts in Web Content
Kenneth Wai-Ting Leung, Di Jiang, Dik Lun Lee, Wilfred Ng
Article No.: 6
The semantic network is a form of knowledge that represents various relationships between concepts with ambiguity. The knowledge can be employed to identify semantically related objects. It helps, for example, a recommender system to generate...
sCARE: Reputation Estimation for Uncertain Web Services
Zaki Malik, Brahim Medjahed, Abdelmounaam Rezgui
Article No.: 7
In this article, we propose a Statistical Cloud-Assisted Reputation Estimation (sCARE) approach for service-oriented environments in uncertain situations. sCARE uses the ratings from cooperating service consumers to uniformly describe the...