STI Innsbruck

Innsbruck, Austria

STI Innsbruck

Innsbruck, Austria

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Roman D.,Sintef | Maue P.,University of Munester | Grcar M.,JSI | Larizgoitia I.,STI Innsbruck | And 2 more authors.
Proceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011 | Year: 2011

This demo paper introduces an emerging platform (the ENVISION platform) for discovery, annotation, and composition of environmental services, and presents the platforms capabilities through a set of demos of the platform components. © 2011 IEEE.


Zinnikus I.,German Research Center for Artificial Intelligence | Komazec S.,STI Innsbruck | Facca F.,STI Innsbruck
Lecture Notes in Business Information Processing | Year: 2012

The capability to provide on-demand service access for SMEs can further reduce costs and allow companies to concentrate investments on their core businesses which in turn facilitates the overall competitive advantage. In the FP7 European Project COIN, a platform for supporting SMEs is developed which combines the flexibility of an execution environment for Semantic Web services with agent-based service compositions. This paper presents an approach to integrate an implementation of a Semantic Web service platform with an agent platform. One major benefit of the combination is that through this the potential of agent systems, most notably flexibility, can be tapped. An obstacle is the integration of dynamically discovered services which often cannot be used by agents because of interoperability problems (e.g. data heterogeneity). By delegating this task to a Semantically Enabled Service Oriented Architecture (SESA), the agent platform can concentrate on coordination tasks. Coordination tasks include executing predefined compositions of services but also automatic compositions of semantic services by applying AI planning techniques, in particular by transforming service descriptions into the Planning Domain Definition Language (PDDL). The integration approach is motivated and described in the context of a high-level scenario coming from the area of enterprise interoperability. © 2012 Springer-Verlag.


Kaindl H.,Vienna University of Technology | Wach E.P.,STI Innsbruck | Okoli A.,Smart Information Systems | Popp R.,Vienna University of Technology | And 2 more authors.
International Conference on Intelligent User Interfaces, Proceedings IUI | Year: 2013

Creating and optimizing content- and dialogue-based recommendation processes and their GUIs (graphical user interfaces) manually is expensive and slow. Changes in the environment may also be found too late or even be overlooked by humans. We show how to generate such processes and their GUIs semi-automatically by using knowledge derived from unstructured data such as customer feedback on products on the Web. Our approach covers the whole lifecycle from knowledge discovery through text mining techniques to the use of this knowledge for semi-automatic generation of recommendation processes and their user interfaces as well as their comparison in real-world use within the e-commerce domain through A/B-variant tests. These tests indicate that our approach can lead to competitive results in terms of click-out rate, while requiring much less manual effort. Copyright © 2013 ACM.


Roa-Valverde A.J.,STI Innsbruck | Sicilia M.-A.,STI Innsbruck
Information Retrieval | Year: 2014

Ranking information resources is a task that usually happens within more complex workflows and that typically occurs in any form of information retrieval, being commonly implemented by Web search engines. By filtering and rating data, ranking strategies guide the navigation of users when exploring large volumes of information items. There exist a considerable number of ranking algorithms that follow different approaches focusing on different aspects of the complex nature of the problem, and reflecting the variety of strategies that are possible to apply. With the growth of the web of linked data, a new problem space for ranking algorithms has emerged, as the nature of the information items to be ranked is very different from the case of Web pages. As a consequence, existing ranking algorithms have been adapted to the case of Linked Data and some specific strategies have started to be proposed and implemented. Researchers and organizations deploying Linked Data solutions thus require an understanding of the applicability, characteristics and state of evaluation of ranking strategies and algorithms as applied to Linked Data. We present a classification that formalizes and contextualizes under a common terminology the problem of ranking Linked Data. In addition, an analysis and contrast of the similarities, differences and applicability of the different approaches is provided. We aim this work to be useful when comparing different approaches to ranking Linked Data and when implementing new algorithms. © 2014 Springer Science+Business Media New York.


Fried M.A.H.,STI Innsbruck | Fensel A.,STI Innsbruck | Facca F.M.,CREATE-NET | Fensel D.,STI Innsbruck
Programming and Computer Software | Year: 2012

We combine Auto Identification and Web technologies in an extensible on-site event support system for enhancing experience of conference organizers as well as participants. Our system enables users to authenticate themselves using RFID badges and to access interactive, Web-based services via a touchscreen PC. The developed services aim at supporting social interactions of participants, and thus validate the promising usage directions of the combination of offline social networks and the online social Web. The main hypothesis of our work is that: "A sensor based information system can truly enhance social conference experience." Technically, we have investigated employment of Web 2.0 technologies in social, sensor and mobile technologies enabled systems at conferences and events. This article gives an overview of the overall system and its evaluation via a user survey and usage log data collected during the Extended Semantic Web Conference (ESWC) 2010 and similar international conferences, altogether with several hundred participants. © Pleiades Publishing, Ltd., 2012.


Roa-Valverde A.J.,STI Innsbruck
CEUR Workshop Proceedings | Year: 2014

In this paper we introduce Word Bucket, a mobile app that applies gamification to the problem of learning a foreign second language (FSL). Word Bucket consumes and produces linguistic data through user interaction, which can be used to improve available datasets relying on the power of the crowd. We describe the problems around handling "live" linguistic data and how semantic technologies can help to face the problem of data integration and its consumption in this specific scenario.


Rohjans S.,OFFIS Institute for Information Technology | Fensel D.,STI Innsbruck | Fensel A.,STI Innsbruck
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA | Year: 2011

In the energy domain a transition process has begun aiming at the realization of smart grids, where many perspectives on smart grids and thus, different definitions, exist. However, one aspect is widely accepted, namely that ICT is needed to support future smart grids. IT approaches are used to deal with the upcoming data exchange among the different stakeholders. The traditional supply chain, from centralized generation to conventional consumption, has evolved into a multi-dimensional, highly dynamic and complex system. Many new stakeholders such as service providers and prosumers participate in smart grids. Also, automation becomes more and more important, especially novel communication standards like the OPC UA. In this contribution the application of the OPC UA as well as its extension by annotating meta-data to enable semantic web service communication is introduced. © 2011 IEEE.

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