Which social networks should web services sign-up in?

This paper deals with the sign up issue in social networks populated with Web services. These social networks can be used for example, to ease the discovery of Web services. Based on Web services\u27 functionalities three social networks are built: competition, substitution, and collaboration. In competition and substitution social networks, Web services offer homogeneous functionalities. In the collaboration social network, Web services that offer heterogeneous functionalities. In this latter type, Web services can be put together to develop composite services. Prior to joining a social network, a Web service through a third-party, named social Web service, should evaluate the pros and cons of being member in this network. A set of quality criteria for assessing these pros and cons are proposed. These criteria are, but not limited to, privacy, trust, fairness, and traceability. Policies for managing the sign up are, also, provided in this paper. The adoption and efficiency of these policies are monitored and assessed with respect to me values that these criteria take. In response to this sign up\u27s outcomes, these policies are fine-tuned. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved

AAAI Spring Symposium: Intelligent Web Services Meet Social Computing - Which Social Networks Should Web Services Sign-Up In?

This paper deals with the sign up issue in social networks populated with Web services. These social networks can be used for example, to ease the discovery of Web services. Based on Web services\u27 functionalities three social networks are built: competition, substitution, and collaboration. In competition and substitution social networks, Web services offer homogeneous functionalities. In the collaboration social network, Web services that offer heterogeneous functionalities. In this latter type, Web services can be put together to develop composite services. Prior to joining a social network, a Web service through a third-party, named social Web service, should evaluate the pros and cons of being member in this network. A set of quality criteria for assessing these pros and cons are proposed. These criteria are, but not limited to, privacy, trust, fairness, and traceability. Policies for managing the sign up are, also, provided in this paper. The adoption and effi ciency of these policies are monitored and assessed with respect to the values that these criteria take. In response to this sign up\u27s outcomes, these policies are fine-tuned

Interactive context-aware user-driven metadata correction in digital libraries

Personal name variants are a common problem in digital libraries, reducing the precision of searches and complicating browsing-based interaction. The book-centric approach of name authority control has not scaled to match the growth and diversity of digital repositories. In this paper, we present a novel system for user-driven integration of name variants when interacting with web-based information-in particular digital library-systems. We approach these issues via a client-side JavaScript browser extension that can reorganize web content and also integrate remote data sources. Designed to be agnostic towards the web sites it is applied to, we illustrate the developed proof-of-concept system through worked examples using three different digital libraries. We discuss the extensibility of the approach in the context of other user-driven information systems and the growth of the Semantic Web

Academics' online presence guidelines: A four step guide to taking control of your visibility

OpenUCT published Academics' online presence guidelines: A four step guide to taking control of your visibility in 2012

Smart hospital emergency system via mobile-based requesting services

In recent years, the UK’s emergency call and response has shown elements of great strain as of today. The strain on emergency call systems estimated by a 9 million calls (including both landline and mobile) made in 2014 alone. Coupled with an increasing population and cuts in government funding, this has resulted in lower percentages of emergency response vehicles at hand and longer response times. In this paper, we highlight the main challenges of emergency services and overview of previous solutions. In addition, we propose a new system call Smart Hospital Emergency System (SHES). The main aim of SHES is to save lives through improving communications between patient and emergency services. Utilising the latest of technologies and algorithms within SHES is aiming to increase emergency communication throughput, while reducing emergency call systems issues and making the process of emergency response more efficient. Utilising health data held within a personal smartphone, and internal tracked data (GPU, Accelerometer, Gyroscope etc.), SHES aims to process the mentioned data efficiently, and securely, through automatic communications with emergency services, ultimately reducing communication bottlenecks. Live video-streaming through real-time video communication protocols is also a focus of SHES to improve initial communications between emergency services and patients. A prototype of this system has been developed. The system has been evaluated by a preliminary usability, reliability, and communication performance study

Literature Overview - Privacy in Online Social Networks

In recent years, Online Social Networks (OSNs) have become an important\ud part of daily life for many. Users build explicit networks to represent their\ud social relationships, either existing or new. Users also often upload and share a plethora of information related to their personal lives. The potential privacy risks of such behavior are often underestimated or ignored. For example, users often disclose personal information to a larger audience than intended. Users may even post information about others without their consent. A lack of experience and awareness in users, as well as proper tools and design of the OSNs, perpetuate the situation. This paper aims to provide insight into such privacy issues and looks at OSNs, their associated privacy risks, and existing research into solutions. The final goal is to help identify the research directions for the Kindred Spirits project

Competitive dynamics of lexical innovations in multi-layer networks

We study the introduction of lexical innovations into a community of language users. Lexical innovations, i.e., new terms added to people's vocabulary, play an important role in the process of language evolution. Nowadays, information is spread through a variety of networks, including, among others, online and offline social networks and the World Wide Web. The entire system, comprising networks of different nature, can be represented as a multi-layer network. In this context, lexical innovations diffusion occurs in a peculiar fashion. In particular, a lexical innovation can undergo three different processes: its original meaning is accepted; its meaning can be changed or misunderstood (e.g., when not properly explained), hence more than one meaning can emerge in the population; lastly, in the case of a loan word, it can be translated into the population language (i.e., defining a new lexical innovation or using a synonym) or into a dialect spoken by part of the population. Therefore, lexical innovations cannot be considered simply as information. We develop a model for analyzing this scenario using a multi-layer network comprising a social network and a media network. The latter represents the set of all information systems of a society, e.g., television, the World Wide Web and radio. Furthermore, we identify temporal directed edges between the nodes of these two networks. In particular, at each time step, nodes of the media network can be connected to randomly chosen nodes of the social network and vice versa. In so doing, information spreads through the whole system and people can share a lexical innovation with their neighbors or, in the event they work as reporters, by using media nodes. Lastly, we use the concept of "linguistic sign" to model lexical innovations, showing its fundamental role in the study of these dynamics. Many numerical simulations have been performed.Comment: 23 pages, 19 figures, 1 tabl