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ACM Transactions on Internet Technology (TOIT), Volume 16 Issue 2, April 2016

SoIoT: Toward A User-Centric IoT-Based Service Framework
In-Young Ko, Han-Gyu Ko, Angel Jimenez Molina, Jung-Hyun Kwon
Article No.: 8
DOI: 10.1145/2835492

An emerging issue in urban computing environments is the seamless selection, composition, and delivery of user-centric services that run over what is known as the Internet of Things (IoT). This challenge is about enabling services actuated by IoT...

Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li
Article No.: 9
DOI: 10.1145/2837024

The emerging Internet of Things (IoT) bridges the gap between the physical and the digital worlds, which enables a deeper understanding of user preferences and behaviors. The rich interactions and relations between users and things call for...

Argumentation Mining: State of the Art and Emerging Trends
Marco Lippi, Paolo Torroni
Article No.: 10
DOI: 10.1145/2850417

Argumentation mining aims at automatically extracting structured arguments from unstructured textual documents. It has recently become a hot topic also due to its potential in processing information originating from the Web, and in particular from...

A Scalable Framework for Provisioning Large-Scale IoT Deployments
Michael Vögler, Johannes M. Schleicher, Christian Inzinger, Schahram Dustdar
Article No.: 11
DOI: 10.1145/2850416

Internet of Things (IoT) devices are usually considered external application dependencies that only provide data or process and execute simple instructions. The recent emergence of IoT devices with embedded execution environments allows...

Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews
Lidong Bing, Tak-Lam Wong, Wai Lam
Article No.: 12
DOI: 10.1145/2857054

We develop an unsupervised learning framework for extracting popular product attributes from product description pages originated from different E-commerce Web sites. Unlike existing information extraction methods that do not consider the...

Multiobjective Optimization for Brokering of Multicloud Service Composition
Alba Amato, Salvatore Venticinque
Article No.: 13
DOI: 10.1145/2870634

The choice of cloud providers whose offers best fit the requirements of a particular application is a complex issue due to the heterogeneity of the services in terms of resources, costs, technology, and service levels that providers ensure. This...

Negotiating Premium Peering Prices: A Quantitative Model with Applications
Costas Courcoubetis, Laszlo Gyarmati, Nikolaos Laoutaris, Pablo Rodriguez, Kostas Sdrolias
Article No.: 14
DOI: 10.1145/2883610

We have developed a novel methodology for deriving bandwidth prices for premium direct peering between Access ISPs (A-ISPs) and Content and Service Providers (CSPs) that want to deliver content and services in premium quality. Our methodology...