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P186 - I2CS 2011: 11th International Conference on Innovative Internet Community Systems

https://dl.gi.de/handle/20.500.12116/18976
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Auflistung P186 - I2CS 2011: 11th International Conference on Innovative Internet Community Systems nach Erscheinungsdatum

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  • Konferenzbeitrag
    Predicting social networks in weblogs
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Jähnichen, Patrick
    Weblogs and other platforms used to organize a social life online have achieved an enormous success over the last few years. Opposed to applications directly designed for building up and visualizing social networks, weblogs are comprised of mostly unstructured text data, that comes with some meta data, such as the author of the text, its publication date or the URL it is available under. In this paper, we propose a way, how these networks may be inferred not by the available meta data, but by pure natural language analysis of the text content, allowing inference of these networks without any meta data at hand. We discuss results of first experiments and outline possible enhancements as well as other ways to improve prediction of social networks based solely on content analysis.
  • Konferenzbeitrag
    SportsFaces: a graphical password system based on images of sports celebrities
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Kalsoom, Sajida; Ziauddin, Sheikh; Tahir, Muhammad
    In many cases, human-selected text passwords are either too easy to guess or too difficult to memorize. Graphical passwords reduce the memory burden of users by replacing the task of recalling the password to that of recognizing the password. In this paper, we present a graphical password scheme based on the images of sports celebrates. Experimental evaluation shows that the retention time of the proposed SportsFaces is greater than alphanumeric password systems.
  • Konferenzbeitrag
    An algorithm for detecting communities in folksonomy hypergraphs
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Bothorel, Cécile; Bouklit, Mohamed
    In this article, we are interested in social resource sharing systems such as Flickr, which use a lightweight knowledge representation called folksonomy. One of the fundamental questions asked by sociologists and actors involved in these online communities is to know whether a coherent tags categorization scheme emerges at global scale from folksonomy, though the users don't share the same vocabulary. In order to satisfy their needs, we propose an algorithm to detect clusters in folksonomies hypergraphs by generalizing the Girvan and Newman's clustering algorithm. We test our algorithm on a sample of an hypergragh of tag co-occurrence extracted from Flickr in September 2006, which gives promising results.
  • Konferenzbeitrag
    Challenges in health informatics and their relevance to Internet communities
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Wienhofen, Leendert W. M.
    Making relevant information available to stakeholders is not an easy task, especially not in a distributed working environment such as a hospital. Digital events do or do not (partially) represent actual real life events and the quality of the aggregation of digital events can not always be guaranteed. Capturing, typing, aggregating and distributing events is a challenge. Many of the problems we see in the hospital are also relevant for internet and mobile communities. Also here we see that people are typically at different places when they communicate and that different communication paradigms are used. Questions such as: “Where is person X?”, “Which information to distribute to whom?” and “Are there any restrictions and if yes, how to impose these?” are as relevant here as in the hospital. During this talk, by means of a real example, parallels between the “hospital community” and other communities will be drawn.
  • Konferenzbeitrag
    Modeling interoperability channel using UPPAAL
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Ayaida, Marwane; El Mehraz, Haytem; Afilal, Lissan; Fouchal, Hacène
    In modern vehicles, there are a lot of devices (GPS, Tachograph, GSM / GPRS. . . ) with different functions. These peripherals communicate with each other thanks to various media and protocols. The weakness of some protocols and standards obstructs the interoperability. They have to exchange useful information about the vehicle status and understand what is being shared. This paper aims to design and to model a smart channel of communication and interoperability between heterogeneous embedded systems on transportation vehicles. This channel identifies connected peripherals and allows them to exchange data automatically with any kind of device. Furthermore, the smart channel builds services which can be customized by the end-user. The model has been proposed and specified thanks to the toolbox UPPAAL. With this toolbox we perform a simulation and verification (we considered critical situations of the system).
  • Konferenzbeitrag
    Topic detection based on the PageRank's clustering property
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Kubek, Mario; Unger, Herwig
    This paper introduces a method to cluster graphs of semantically related terms from texts using PageRank calculations for use in the field of text mining, e.g. to automatically discover different topics in a text corpus. It is evaluated by providing empirical results of tests by applying this method on real text corpora. It is shown that this application of the PageRank formula realizes suitable clustering such that the mean similarity between the terms in the clusters reaches a high level. A special state transition in the mean term similarity is discussed when analysing texts with stopwords.
  • Konferenzbeitrag
    Understanding the power of social media
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Drüner, Marc
    Even at a basic level we all know how to use social media, well, to the point where we can post a Facebook update or even send a Tweet. But the most of us do not really understand its power nor how you can use that power effectively. Social media is leading the biggest transformation in communication and advertising. During this talk Prof. Dr. Drüner highlights the phenomena of social media and points out the opportunities and risks for small and medium-sized enterprises. A second part will be the impact of social media on the opinions of consumers and how companies can use social media data with opinion mining and social media tracking methods.
  • Konferenzbeitrag
    Challenges in designing technology for reducing the need for synchronous communication in the perioperative environment
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Wienhofen, Leendert W. M.; Toussaint, Pieter J.
    This paper describes health informatics as a field of research and some of the challenges that are faced when designing a complex event processing middleware gathering input from multiple legacy sources in a hospital environment. The goal of the system is to reduce the need for synchronous communication between medical stakeholders by creating a situational awareness and thereby cause fewer interruptions.
  • Konferenzbeitrag
    An architecture for smart semantic recommender applications
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Lommatzsch, Andreas; Plumbaum, Till; Albayrak, Sahin
    With the growing availability of semantic datasets, the processing of such datasets becomes the focus of interest. In this paper, we introduce a new architecture that supports the aggregation of different types of semantic data and provides components for deriving recommendations and predicting relevant relationships between dataset entities. The developed system supports different types of data sources (e.g. databases, semantic networks) and enables the efficient processing of large semantic datasets with several different semantic relationship types. We discuss the presented architecture and describe an implemented application for the entertainment domain. Our evaluation shows that the architecture provides a powerful and flexible basis for building personalized semantic recommender systems.
  • Konferenzbeitrag
    Integrating feature selection methods for gene selection
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Saengsiri, Patharawut; Wichian, Sageemas Na; Meesad, Phayung; Herwig, Unger
    In fact, cancer is produced for genetic reasons. So, gene feature selection techniques are very important for biological processes which help to find subsets of informative genes. However, the quality of recognition is still not sufficient and leads to low accuracy rates. Hence, this research proposes integrating a feature selection method (IFS). There two phases of IFS: 1) determining feature length by Gain Ratio (GR) and 2) estimating each rank list using a wrapper approach based on K-nearest neighbor classification (KNN), Support Vector Machine (SVM), and Random Forest (RF). Experimental results based on two gene expression datasets, it is found that the proposed method not only has higher accuracy rate than tradition methods, but also reduce many irrelevant features. In addition, most models based on IFS method are more beneficial when working with two or multi-classes.