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Archive

This page lists the current projects with STI Innsbruck. Please see the archive and the historical projects for more on completed projects.

Renewable Energy Services on an Infrastructure for Data Exchange (RESIDE)

 

RESIDE is an ÖAD co-funded mobility project between Austria and China. The project aims to enable development and deployment of highly personalized services based on sensor, smart meter and user input data, applicable to the new scenarios emerging from the renewable energy introduction and the settings of both countries. RESIDE objectives are:

1. To build an energy efficiency and passive house data infrastructure, identifying common points of interest in relevant data usage, based on the renewable service specification, smart home sensor and metering data repositories that are available to the consortium, with a semantic access and business models ensuring the sustainability of the infrastructure maintenance and use.

2. Build renewable energy related pilot services on this infrastructure that can be eventually durably exploited with the use for both countries, as well as enable and motivate third-party developers to build added value services on this repository and benefit from them.


RW2

Web Services are widely seen as the most promising technology to enable interoperability among heterogeneous applications. However, current technologies only describe syntactical aspects of Web Services, providing a very limited automation support for the integration task. Semantic Web technologies are being applied to Web Services with the aim of offering a higher support for the automation of a number of tasks, significantly improving the quality of the integration tasks while drastically reducing its cost. The RW² project follows the direction of research that describes Web Services using semantic annotations.


Salero

SALERO's goal is to define and develop "intelligent content" objects with context-aware behaviours for self-adaptive use and delivery across different platforms, building on and extending research in media technologies, web semantics, and context based image retrieval, to reverse the trend toward ever-increasing cost of creating media. SALERO aims to advance the state of the art in digital media to the point where it becomes possible to create audiovisual content for cross-platform delivery using intelligent content tools, with greater quality at lower cost, to provide audiences with more engaging entertainment and information at home or on the move. The RTD addresses:

  •  Understanding the relations between media types, genres, workflows and styles;
  •  Metadata, Media Semantics and Ontologies for semantically aware content objects;
  • Practical methods of context-based information retrieval of characters, sounds, images, movements or behaviours;
  • Procedures for manipulating the appearance, sound, movement and behaviour of semantically aware characters and objects;
  • Improved methods and tools for script translation and speech synthesis;
  • Software toolkits, systems, plug-ins and interfaces for control of appearances, sounds, semantic behaviour and properties of intelligent content objects;
  • SALERO will guide, validate and evaluate the R&D through experimental productions across a range of important media genre, based on scenarios defined by artists and creative media professionals. It will also reinforce the European skills base by developing training structures for professionals and researchers and prepare the market launch of technologies through a series of Demonstration Testbeds for media professionals;
  • The RTD programme includes long-term research and medium-term work designed to result in novel products and services at the component and system level by the end of the project.

Salzburg NewMediaLab – The Next Generation (SNML-TNG)

Salzburg NewMediaLab – The Next Generation (SNML-TNG) is the competence centre in Austria that takes the knowledge and media industry into the Future Internet, helping its partners to address the new challenges arising with the paradigmatic shift that is currently affecting the industry. SNML-TNG conducts research on the socio-economic and the technological level in the fields of Social Computing, Social Media & Enterprise 2.0, Semantic Web & Linked Data, and Multimedia Annotations. A common trait of all fields is “Linked Media”, which is therefore at the heart of the SNML-TNG research programme. Linked Media is the convergence of linked people, linked content, and linked data.  

  • on the socio-economic level, SNML-TNG will explore the use of Linked Media in the Enterprise 2.0, the issue of Trust and Reputation, as well as Future Social Media Interfaces. Socio-economic research will be carried out in the form of studies and visionary scenario proposals that are specifically tailored towards our company partners.
  • on the technological-conceptual level, SNML-TNG will investigate open technological research questions in the areas of Social Media, Linked Data, Recommendation Systems, and Multimedia Annotations and develop appropriate models and methodologies.
  • on the technological development level, SNML-TNG will implement an Open Source framework (the “Linked Media Framework”) verifying the feasibility of its ideas in a practical system that can be further developed into a functioning platform by the partners.

  SNML-TNG brings together leading Austrian research institutes with a proven excellence in the areas of Social Media, Semantic Technologies and Multimedia (Salzburg Research, STI Innsbruck, FH Salzburg) and major members of the Austrian knowledge and media industry (ORF, Red Bull Media House, basis wien), as well as a number of innovative technology companies (punkt. netServices, mediamid, Technodat).


Security UPgrade for PORTs (SUPPORT)

SUPPORT aims to raise the current level of port security by integrating legacy port systems with new surveillance and information management systems. SUPPORT will provide the necessary and sufficient security level to satisfy evolving international regulations and standards while efficiently supporting the complexity of the real port environment. As part of this, SUPPORT will also facilitate efficient and, where required, real-time exchange of security related information within the supply chain and between ports and authorities. SUPPORT partners include a number of ports that have been selected to represent typical, but different operations. Starting from the perspective of the partner port operations, the project will use a cost-benefit method to identify the main security gaps and will describe security measures to maintain or augment the efficient and secure operation of these ports. The approach will combine creative and analytical techniques to identify as many relevant threats as possible. After making an inventory of security gaps these will be developed into generic port security models. The models will be used to suggest security upgrade solutions, taking into account the cost-benefit factors of the available technology. Peer-to-peer communication and decision support tools incorporating semantic technologies will be developed, using as far as possible standard open architecture software, accessible to all the port security stakeholders. The results will be demonstrated at the ports of Gothenburg and Piraeus. SUPPORT will include policy and standardisation proposals and training for participating port personnel as well as dissemination activities for other ports and stakeholders. One aim of SUPPORT is to provide general methods and technology supported by training services that can be used by any European port to efficiently enhance its security level.


Seekda Social Agent (SESA)

The Seekda Social Agent (SESA) will help the hotelier in dealing with the challenge to improve and maintaining his communication needs in a world with an exploding number of channels in order to maintain or better increase his market share (i.e., the number of bookings and the attached price) by keeping the related transactions costs for on-line communication and booking manageable. Organizations of all sizes, commercial and not-for-profit, regularly face the challenge of communicating with their stakeholders using a multiplicity of channels, e.g. websites, videos, PR activities, events, email, forums, online presentations, social media, mobile applications, and recently structured data. The social media revolution has made this job much more complicated, because:

  • the number of channels has grown exponentially,
  • the communication has changed from a mostly unilateral "push" mode (one speaker, many listeners) to an increasingly fully bilateral communication, where individual stakeholders (e.g. customers) expect one-to-one communication with the organization, and the expected speed of reaction is shrunk to almost real-time, and
  • the contents of communication becomes more and more granular and increasingly dependent on the identity of the receiver and the context of the communication.

Semantic Based Network Management (SemNetMan)

The project SemNetMan (semantic based network/cluster management) combines two methods relevant for the knowledge society: the social network analyses (SNA) and techniques of the semantic web. The resulting method should enable efficient network management within the scope of project environments and related requirements. The design of the methodology is embedded in three use cases: the network of the Semantic Web School, the Platform Wissensmanagement and the Austrian Biogasnetzwerk. The project is realized by seven Austrian organisations from research to industry containing specialists from network management, semantic technologies and social network analyses. SemNetMan is supported by the protecNETplus programm of FFG.


Semantic Engineering Support Environment (SEnSE)

The SENSE project deals with the development on an Engineering Support Environment which improves communication in product development processes. The scenarios targeted by the SENSE project are intelligent change management, engineering rationale detection and conflict resolution and redesign of existing products. While state-of-the-art solutions are rather static and process-oriented, SENSE is highly flexible and is oriented to support communication processes. SENSE build on top of state-of-the- art R&D results in the area of multi-agent systems, semantics and tuple spaces. Within the project a set of scientific and technological innovations will be developed. Semantic facades will allow the semantic enrichment of legacy data. A minimum high level ontology will provide standardized communication means for inter-system communication. Specific dynamically adaptable reasoning mechanisms will be developed. A novel form of communication infrastructure combining message-based on triple-space based communication will be developed. A mechanisms for engineering rationale detection and conflict resolution building on leading-edge basic research in the area of Artificial Intelligence and Semantics will be developed.


Semantic Evaluation At Large Scale (SEALS)

Semantic technologies are at the heart of the future Web providing ways to express knowledge and data so that it can be properly exploited. These technologies will empower a new class of Information and Communication Technologies much more scalable, interoperable, and with a higher degree of process automation support that will fulfill the needs of an emergence market that will exceed $10 billion by 2010. This is a very active research area, but still suffers from a lack of standard benchmarks and infrastructures for assessing research outcomes. SEALS addresses two key challenges: the creation of a lasting reference infrastructure for semantic technology evaluation and the continuous benchmarking of semantic technologies at a large scale via public worldwide evaluation campaigns.


Semantic Mediation of Legacy Data Sources (SEML)

Within this project we develop tools and services enabling the interoperability of heterogeneous, distributed data sources. By using semantic web technologies we can precisely define the structure and semantics of legacy data sources. Based on these definitions the rules to exchange data between several data sources are created in a semi-automatic way. SEML can process whole data bases or just the parts returned by a particular query. SEML consists of two components: a graphic user interface (SEML Modeller) and a runtime environment for the conversion tasks (SEML Transformation Service).


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