The Research studio addresses questions in the field of long-term preservation of digital content. Its specific areas of focus are- workflow-based support for archiving solutions specific to requirements of industries- support for the preservation of multimedia data- archiving solutions for small and medium enterprises

Development of a scientific concept and support for tailoring a software process system- Analysis of methods and principles that have successfully been used in other development approaches (e.g., V-Modell XT)- Analysis of technical solution concepts and comparison of relevant tools (such as authoring systems, content management systems)- Support for the migration of the HTML-based systems development approach SEM (static web pages) towards a XML-/database-driven generic format, which allows generating tailored SEM-process versions.

Development and Evaluation of concepts for the migration of an online legal documentation system towards modern internet technology.

Web 2.0 has changed the technological landscape the Internet computing world today. The shift from traditional web which is also known as Web 1.0 is forced by the growing need for more efficient information sharing, collaboration and business processes. This technological transition to Web 2.0 paradigm also brings in new security and privacy concerns into existence which should protect the whole Rich Internet Application (RIA) components. This project aims at providing reusable foundation components for information sharing to address the new security and privacy concerns of Web 2.0.

IT-Security has become a much diversified field and it is time-consuming, complex and expensive for a company to establish all-enclosing and effective safeguards. First of all it is important to understand the actual threat situation to be able to create a threat classification as a basis for safeguard decision support. Based on the taxonomy of computer security and dependability by Landwehr and the threat classification according to Peltier, a heavy-weight ontology can be used to organize and systematically structure knowledge on threats, safeguards, and assets. Furthermore one of our scientific aims is to model the interactions between threats, safeguards and assets on a detailed and realistic level. The SecOnt project will lead to a better understanding pertaining to threat analysis and mitigation, and further offer a machine readable knowledge base which can be utilized in novel threat simulation and risk-analysis systems.We propose a technology which is capable of constantly monitoring the corporate infrastructure and based on threat-information and up-to-date safeguards, simulations are carried out. Automatic analysis of the simulation results brings up the most effective safeguards, concerning the current corporation. The security ontology provides a solid base for an applicable and holistic IT-Security approach, enabling low-cost risk management and threat analysis. The first abstract definition of classes is created independently of specific requirements or a concrete company. The ontology is then used in an organization to capture knowledge required for and created during a security risk analysis where instances of concepts are added to the ontology to allow the simulation of different attack and disaster scenarios. With the SecOnt prototype, each scenario can be replayed with a different protection profile as to evaluate the effectiveness and the cost/benefit ratio of individual safeguards. Based on the simulation results the prototype offers optimized state-of-the-art protection profiles (administrative and technical), which are calculated through developed heuristics.

The objective of SemProM is to enhance Project Management (PM) with semantic technologies and to enable an interchange between a Semantic Desktop and a PM system. Currently, there are no solutions in the field of project management software containing semantic technologies. As such SemProM represents a clear innovation with respect to R&D as well as to commercial solutions. A semantic based project management system introduces technologies, such as ontologies, semantic annotation of content and semantic search. More precisely, SemProM will use an existing PM system and interlink it with a Semantic Desktop (as a¿fat¿-client). The project will address the following issues: - Definitions of project management domain ontology as well as several other ontologies, such as date, time, versioning or project members are necessary. These ontologies will be combined in such a way that further ontologies (e.g., application domain specific) can be added easily. Special attention must be paid to the consistency of the different ontologies in the server application and the client. - Another aim in SemProM is to implement an interface between the client, a Semantic Desktop and the semantic PM. Therefore the client will be extended with a fat-client with the functionalities to search, to edit and to set links to PM information. Also the ontology of the Semantic Desktop system must be adapted with parts of the project management ontologies. - SemProM will be designed with the goal of flexibility and extensibility. Moreover, all interfaces of this system must adhere to open standards; SemProM will be an OpenSource solution. - To proof the concept of this project a prototype will be developed and an evaluation of SemProM will be done.

The objective of SEMAMO is to make use of the increasingly growing information available at Web-based sales and marketing channels for market research, using semi automatic ana¬lyses and semantic domain models, where the domain model guides the statistical proc¬essing flow and the statistical results feed back to the domain model - enabling learning of the system. With such an intelligent integration (needing also research in the respective disciplines) SEMAMO deliversa business analysis tools far beyond current state of the art. The assumption is that the Web may serve as a ¿picture¿ of the reality and that the respec¬tive online channels map market developments in terms of product descriptions, distribution, promotions, and price developments; and this accurately and in a timely manner. SEMAMO aims at building a technological framework that allows the automatic capturing of market information and the semi-automatic analysis of these data for market research and benchmarking. To automate this process, online data harvesting, semantic domain modeling, and semantically guided (i.e., domain specific) analysis and reporting technologies are integrated. This framework will be tested in the area of tourism, but can be easily transfered to other sector due to the underlying domain model. More specifically, SEMAMO aims at ¿ building a metadata model thatcaptures the required semantics to enable the interpretation of the market data according to application needs; ¿ sampling of data from Web sources: this will include the learning of properties of the data sources (such as data change frequency) in order to guide the samplig process as well as toupdate the domain model, making the entire system adaptive; ¿ developing an ontology-driven strategy for cleansing of data; and ¿ developing semantic annotation and analysis methods for product as well as market data.

In many organizations people need to identify experts that are competent in certain problem domains. Competence management systems are useful tools to keep track of who has competences in specific areas. The key challenge of such systems is to determine validated competences. The main goal of SeCoMine is the development of a novel semantic approach to measure competences. In the last years social software systems became very popular. These systems support individuals to easily share their knowledge and experience. Within this project, we will investigate howcompetences of individuals can be measured based on their contributions in such social software systems. Currently, there exist no comparable approaches to quantify competences. Therefore, SeCoMine represents a clear innovation in the field of research as well as commercial solutions.SeCoMine addresses the following issues:- Adapt an existing ontology to the needs of SeCoMine. This new ontology represents the relationsbbetween competences in a specific application context. The types of concepts and relations base on a competence concept declared at the beginning of this project.- Extract relevant information from a user¿s contribution by means of semantic text mining technologies. In addition, we incorporate annotated information given by the user, i.e. tags, to refine this extraction process and get a more valuable term list. - Identification of competences through the automated assignment of the extracted termsto suitable ontology concepts. - Quantify the competences by means of a novel semantic matching algorithm utilizing the concepts and relations of the ontology. The nodes and edges in the ontology graph are weighted. With the aggregation of these values based on heuristic rules, we generate a user¿s competence profile, which consists of the identified competences, its quantification values and a corresponding reliability indicator. - Develop a user interface in order to enter contributions to the social software system. Contributions may have different forms (e.g., challenges, solutions). Users can easily contribute their experience and discuss it with others. Furthermore, users are enabled to query their competence profile and give feedback to the calculated competence result. According to a participant at the Dagstuhl seminar on'Semantic Web reflections and future directions'2009, researchers agreed on the importance of user interfaces to access semantic information.We prove the validity of the SeCoMine competence measure by means of an experiment conducted with students in a university environment. We validate the measured competences by comparison with both self-evaluation and supervisor assessment.

The aim of the bilateral seminar is to report ongoing work and projects, to exchange views and specify directions of future joint work. The focus of our joint research interest is the development of psychology-related VR systems for research, education, therapy, and rehabilitation.Both partners are experts in the related fields and have published internationally in recent years.Applications of VR in psychology started to slowly emerge within the last decade with increasing success. As part of this seminar we will discuss well established application areas as well as new fields with high potential. The Austrian applicant has already established a very fruitful national collaboration with very good results in national projects e.g. the cooperation between the University Klagenfurt and TU Vienna. The proposed seminar can open the door for a long term international cooperation between Austrian and Russian experts. This would greatly enhance the chances in future international joint research projects for all participants.

The SCAPE project will enhance the state of the art of digital preservation in three ways: by developinginfrastructure and tools for scalable preservation actions; by providing a framework for automated,quality-assured preservation workflows and by integrating these components with a policy-based preservationplanning and watch system. These concrete project results will be validated within three large-scale Testbedsfrom diverse application areas: Digital Repositories from the library community, Web Content from the webarchiving community, and Research Data Sets from the scientific community. Each Testbed has been selectedbecause it highlights unique challenges.SCAPE will develop scalable services for planning and execution of institutional preservation strategies on anopen source platform that orchestrates semi-automated workflows for large-scale, heterogeneous collections ofcomplex digital objects. These services will be able to:* Identify requirements for preserving all or parts of a repository through characterisation and trend analysis;* Define responses to those needs using formal descriptions of preservation policies and preservation plans;* Allow a high degree of automation, virtualization of tools, and scalable processing;* Monitor the quality of preservation processes.The SCAPE consortium brings together experts from memory institutions, data centres, research labs,universities, and industrial firms in order to research and develop scalable preservation systems that can bepractically deployed within the project lifetime. SCAPE is dedicated toward producing open source softwaresolutions available to the entire digital preservation community. The project results will be curated and furtherexploited by the newly founded Open Planets Foundation. Project results will also be exploited by an SMEand research institutions within the consortium catering to the preservation community and by two industrial ITpartners.