Tracks

Abstract: In this paper we introduce a novel community service based on personal symbolic locations. Users can share their location with other people using simple textual distribution mechanisms without the need of a geographic map display service. Small communities can set up a light-weight infrastructure and do not need to send private locations to big central service centers.

 

Abstract: With the constant increase in smartphone sales, integrated sensors and map navigation have now become available to the average user. This allows for mobile applications to use the user's context to provide more relevant information. An interesting use-case for such applications is a route information systems for buses.

The paper describes an application which interfaces over a mobile phone to BusTUC, a reasoning-system for bus routes in Trondheim. By combining user context with BusTUC reasoning and real-time data from the bus route company, the user-interaction is simplified, compared to a standard information system. We discuss issues on supporting context-awareness and real-time information in the system, comparing the system to previously available route information systems. Feedback from beta-testers indicate that the application suits the needs of typical bus travellers.

 

Abstract: Ambient Assisted Living (AAL) is a domain with great potential for economic and societal impact. But market uptake of such solutions is so far limited because of market, standards and technology uncertainty. The businesses that will prevail are those that are cost effective. To support cost effective development of AAL solutions, domain specific open software ecosystems are being established. We developed a survey to investigate key technology success factors for such ecosystems. The survey was sent to 60 developers from a representative selection AAL development projects. 18 responded. Following a qualitative data analysis we found several key factors and features that must be in place to facilitate the success of such ecosystems. We found that given the nature of the AAL domain, characterised by divergent users, software and hardware, developers are seeking for support in three main areas. First, they want the artefacts available in the ecosystem to support relevant standards in the domain. Second, support for tracing artefacts available in the ecosystem to requirements (domain-fit) is needed. Third, they want support for developing, testing and emulating for complex user-software-hardware workflows in this distributed environment. The main obstacles that will scare away developers from the ecosystems is lack of documentation of the artefacts in the ecosystem. Second, not enough decoupled components, and finally, lack of proper search features. Finally, in order to be able to learn to use the artefacts, examples, scenarios and API documentation is necessary.

 

Abstract: Over the last century the continuous innovation of technology, coupled with a steady increase in the size of the healthcare organizations, has created a need for information systems supporting healthcare professionals with their daily tasks and decisions. Modern hospitals are full of technology producing electronic records of events and activities, with the opportunity of these events culminating in a wealth of information that these semi-autonomous experts can tap into to improve situational awareness, facilitate coordination and take better informed decisions. However, processing these footprints, contextualizing and inferring over them presents several interesting challenges to the current state of Complex Event Processing methods. This article looks at challenges presented by an information system for perioperative process support and how contextualization and adequate tool support can provide the essential backdrop for meaningful inference.

 

Abstract: Multidimensional Scaling (MDS) is a technique for dimensionality reduction widely used in the field of data-mining. For P2P data networks, it holds the potential to provide an intuitive way to browse and explore heterogeneous data distributed over the system. Current MDS approaches are dependent on a centralized instance (controller) and can therefore not be used in decentralized environments. In this article, a distributed algorithm for multidimensional scaling is discussed that does not need any such centralized control.

 

 

 

Abstract: The use of multiple computer systems by a single user makes data transfer a necessity. Cloud storage solutions provide synchronisation features and file accessibility across systems but the exact location and type of storage varies between services. Many systems rely on a client-server architecture where the data is held at the data centers of the service provider. This leads to several difficulties for the end user, for example with regard to privacy or data security. This is countered by the convenience of highly available servers. If the user wants to minimise exposure to the challenges of Cloud-based services, then he is required to either host a server infrastructure himself or to rely on inconvenient on-demand synchronisation by means of file transport protocols or even physical storage devices. The approach presented here tries to harvest the positive aspects of using Cloud-based services while keeping the user in control of his data. To this end, we focus on a hybrid system of a client-server and a peer-to-peer architecture which expands the Cloud to the user's system giving him full control over which data he selects to be stored on a server in the Cloud and which data he prefers to keep private on personal computing devices while ensuring unified access to both types of storage over the network.

 

 

 

Abstract: Film, video, and TV have become a predominant medium, but most audiovisual (AV) material being part of our cultural heritage is kept in archives without the possibility of appropriate access for the public. Although digitalization of AV-objects in conjunction with AV analysis is making progress, content-based retrieval remains difficult because of the so called semantic gap. The mediaglobe project is focussed on digitalization, indexation, preservation and exploitation of historical AV archives. In this context, we show how traditional AV analysis is complemented with semantic technologies and user-generated content to enable content-based retrieval exposing contentual dependencies to promote new means of visualization and explorative navigation within AV archives.

 

Abstract: This paper describes a new method to determine the sources of topics, that influence the main topics in texts, by analysing directed co-occurrence graphs using an extended version of the HITS algorithm. Additionally, this method can be used to identify characteristic terms in texts. In order to obtain the needed directed term relations the notion of term association is introduced to cover asymmetric real-life relationships between concepts and it is described how they can be calculated by statistical means. In the experiments, it is shown that the detected source topics and the characteristic terms can be used to find similar documents and documents that mainly deal with them in large corpora like the World Wide Web. In doing so iteratively, it is possible to easily follow topics by analysing documents from these corpora using this method. This way, users can be offered this new search function in interactive search systems that goes beyond a simple presentation of similar documents. This application will be elaborated on as well.