Many enterprises loose work time because they lack of global search solutions or their solutions are not able to satisfy the needs in a reasonable time. This results in costs for lost work time as well as increased response time. We present a novel approach to federated search engines that use case based reasoning to rerank results according to the searchers needs and therefore leads to a higher quality of search results and faster information retrieval.
Web 2.0 platforms such as media sharing and social network sites (SNS) concern people in everyday life to a great extent. People are enabled to reach out to various media and up to now, it is nearly impossible to use digital identities ex ante or to recreate users’ identities ex post across different platforms. In this paper, we explore important methodologies in Web 2.0 such as cross-media analysis and social pattern based analysis based on a survey in this area, aiming at cross-platform information diffusion across social network sites. Open issues are discussed to explore the challenges and solutions in this new research area.
Tagging is an extremely popular mechanism in many Web 2.0 applications to create metadata supporting search and retrieval of arbitrary multimedia information like digital images, video or audio. However, compared to the syndicated multimedia information itself, the metadata are still “sticky”. They cannot be accessed across several Web 2.0 applications, their semantic enrichment is not possible and they cannot be embedded in the local practices of communities of practice. Here, we present a multimedia tagging mechanism based on the international standard MPEG-7 for community-aware, standard compliant tagging of semantically enriched metadata implemented in the M7MT proof-of-concept application.
The success of multimedia enabled community engines depends on a careful design of the digital media and the related communication/collaboration tools. However, the semantics of the multimedia contents in community communication and collaboration is hard to capture and complex to compute. With the opportunities given by the combination of metadata descriptions standards like MPEG-7 and server-side content-based computations, the manageability of multimedia semantics in community engines becomes more feasible. As a proof of concept, we introduce a Lightweight Application Server for MPEG-7 Services (LAS) which is deployed for a web-based high-level semantic annotation tool for arbitrary images.
Abstract: Pattern-based Task Management (PBTM) has been recently suggested as a paradigm to support knowledge-intensive work due to its flexibility regarding process changes. In the present paper we discuss how a PBTM can be implemented using Web Services (WS). The approach reverts to structural similarities between PBTM and WS. It will be discussed how the PBTM can be realized in a service-oriented architecture. Such an approach can be seen as basis for task handling in an inter-organizational frame, supporting outsourcing and virtualization.
In this paper we will present a complete solution of SOA designed for knowledge computation encapsulation. SOA brings a lot of advantages to the whole ICT process when a difficult on-demand task is computed. On the other hand SOA overhead is nowadays unacceptable for this kind of computation tasks. We have used a semantic approach to describe SOA. Some contributing ideas have appeared – for example a possible approach to cache web services ontologically. This can help in knowledge computing.
We are specifying and developing a flexible Web Service based framework that allows us to interactively combine components in order to meet the situationdependent dynamically changing requirements of blended learning. Our goal is to support instructors and students with customisable e-learning templates that are particularly close to their users and directly meet their needs in effective blended learning scenarios. Since the framework we develop is open source, everybody is welcome to share initial experiences.
Knowledge creation in the cultural sciences is very often of discursive nature. The individuals participating in these discussions can be regarded as a part of a community. In our collaborative research center on “Media and Cultural Communication” we are analyzing the impact of ”Networked Multimedia Information Systems in Cultural Science Cornmunities” on organization and creation of knowledge. In this aspect, we are researching on discourse visualization strategies for a comprehensive medial analysis of cultural science communities. Subject of the present investigation are discourses in about 40 discussion forums with an amount of more than 25.000 emails from more than 2500 individuals collected so far. Research aspects focus on the detection of emergent phenomena by the concatenation of discussion maps originated in the area of data mining, and by classifying meta data for the analyzed documents. Interesting phenomena in cultural science discourses are the sudden emergence and disappearance of terms (burstiness) in a particular forum as well as their spanning among various forums. The correlation of these burstiness phenomena and individuals is also an indicator for roles and hierarchies of individuals within debates. Another phenomenon is the drifting of terms within a community or among them what often can be accredited to members being active in several communities and ”infecting” them by spreading new terms. Fraunhofer FIT’s metadata-based tool SWAP-it is designed to visually support interactive text analysis on the web. It is based on web services and has been equipped with a community specific terminology, allowing a comprehensive study on the previously described phenomena also by self-supervision.