Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2014

Stegmaier Florian, Seifert Christin, Kern Roman, Höfler Patrick, Bayerl Sebastian, Granitzer Michael, Kosch Harald, Lindstaedt Stefanie , Mutlu Belgin, Sabol Vedran, Schlegel Kai

Unleashing semantics of research data

Specifying Big Data Benchmarks, Springer, Berlin, Heidelberg, 2014

Buch
Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.
2013

Höfler Patrick, Granitzer Michael, Sabol Vedran, Lindstaedt Stefanie

Linked Data Query Wizard: A Tabular Interface for the Semantic Web

ESWC 2013, LNCS 7882, P. Cimiano et al., Springer, Heidelberg, 2013

Konferenz
Linked Data has become an essential part of the Semantic Web. A lot of Linked Data is already available in the Linked Open Data cloud, which keeps growing due to an influx of new data from research and open government activities. However, it is still quite difficult to access this wealth of semantically enriched data directly without having in-depth knowledge about SPARQL and related semantic technologies. In this paper, we present the Linked Data Query Wizard, a prototype that provides a Linked Data interface for non-expert users, focusing on keyword search as an entry point and a tabular interface providing simple functionality for filtering and exploration.
2010

Lindstaedt Stefanie , Kraker Peter, Höfler Patrick, Fessl Angela

Feeding TEL: Building an Ecosystem Around BuRST to Convey Publication Metadata

Research 2.0 Workshop EC-TEL 2010, 2010

Konferenz
In this paper we present an ecosystem for the lightweight exchangeof publication metadata based on the principles of Web 2.0. At the heart of thisecosystem, semantically enriched RSS feeds are used for dissemination. Thesefeeds are complemented by services for creation and aggregation, as well aswidgets for retrieval and visualization of publication metadata. In twoscenarios, we show how these publication feeds can benefit institutions,researchers, and the TEL community. We then present the formats, services,and widgets developed for the bootstrapping of the ecosystem. We concludewith an outline of the integration of publication feeds with the STELLARNetwork of Excellence1 and an outlook on future developments.
2010

Latif A., Afzal M. T., Us Saeed A., Höfler Patrick

Harvesting Pertinent Resources from Linked Open Data

Journal of Digital Information Management, 2010

Konferenz
Linked Open Data (LOD) is becoming an essentialpart of the Semantic Web. Although LOD has amassed largequantities of structured data from diverse, openly availabledata sources, there is still a lack of user-friendly interfaces andmechanisms for exploring this huge resource. In this paper, wedescribe a methodology for harvesting relevant information fromthe gigantic LOD cloud. The methodology is based on combinationof information: identification, extraction, integration andpresentation. Relevant information is identified by using a setof heuristics. The identified information resource is extracted byemploying an intelligent URI discovery technique. The extractedinformation is further integrated with the help of a Concept AggregationFramework. Then the information is presented to endusers in logical informational aspects. Thereby, the proposedsystem is capable of hiding complex underlying semantic mechanicsfrom end users and reducing the users’ cognitive loadin locating relevant information. In this paper, we describe themethodology and its implementation in the CAF-SIAL system,and compare it with the state of the art
2009

Latif A., Höfler Patrick, Us Saeed A., Wagner C., Stocker A.

The Linked Data Value Chain: A Lightweight Model for Business Engineers

Conference Proceedings of I-SEMANTICS '09, Paschke, A., Weigand, H., Behrendt, W., Tochtermann, K., Pellegrini, T. , Verlag der Technischen Universität Graz, 2009

Konferenz
2009

Latif A., Afzal M. T., Us Saeed A., Höfler Patrick

CAF-SIAL: Concept Aggregation Framework for Structuring Informational Aspects of Linked Open Data

Proceedings of the First International Conference on Networked Digital Technologies (NDT 2009), 2009

Konferenz
2009

Latif A., Afzal M. T., Höfler Patrick, Us Saeed A.

Turning Keywords into URIs: Simplified User Interfaces for Exploring Linked Data

ACM Proceeding of ICIS 2009. ISBN: 978-1-60558-710-3, 2009

Konferenz
The Semantic Web strives to add structure and meaning to the Web, thereby providing better results and easier interfaces for its users. One important foundation of the Semantic Web is Linked Data, the concept of interconnected data, describing resources by use of RDF and URIs. Linked Data (LOD) provides the opportunity to explore and combine datasets on a global scale -- something which has never been possible before. However, at its current stage, the Linked Data cloud yields little benefit for end users who know nothing of ontologies, triples and SPARQL. This paper presents an intelligent technique for locating desired URIs from the huge repository of Linked Data. Search keywords provided by users are utilized intelligently for locating the intended URI. The proposed technique has been applied in a simplified end user interface for LOD. The system evaluation shows that the proposed technique has reduced user's cognitive load in finding relevant information.
2008

Ulbrich Armin, Höfler Patrick, Lindstaedt Stefanie

Modellierung von Anwenderverhalten im Social Semantic Web

Social Semantic Web. Web 2.0 - Was nun?, Blumauer, A., Pellegrini, T., Springer, 2008

Buch
Ziel dieses Kapitels ist es, gemeinsame Verwendungsszenariendes Semantic Web und des Social Web zu identifizieren und zu benennen.Dabei wird ein Teilaspekt des Themengebiets im Detail betrachtet: die Nutzungvon Services, die Beobachtungen des Verhaltens von Anwendern analysieren, umdaraus maschinell interpretierbare Informationen zu erhalten und diese als Modellezu organisieren. Es werden zunächst einige Eigenschaften und Unterscheidungsmerkmalevon Anwenderverhalten und organisierten Modellen dargestellt.Anschließend wird der mögliche wechselseitige Nutzen von Anwenderverhaltenund Modellen diskutiert. Den Abschluss bildet eine Betrachtung einiger exemplarischerSoftware-Services, die heute schon verwendet werden, um Anwenderverhaltenin Modelle überzuführen.
2008

Granitzer Gisela, Höfler Patrick

Learning With Social Semantic Technologies - Exploiting Latest Tools

International Journal of Emerging Technologies in Learning (iJET), Vol 3, 2008

Journal
Even though it was only about three years ago that Social Software became a trend, it has become a common practice to utilize Social Software in learning institutions. It brought about a lot of advantages, but also challenges. Amounts of distributed and often unstructured user generated content make it difficult to meaningfully process and find relevant information. According to the estimate of the authors, the solution lies in underpinning Social Software with structure resulting in Social Semantic Software. In this contribution we introduce the central concepts Social Software, Semantic Web and Social Semantic Web and show how Social Semantic Technologies might be utilized in the higher education context.
2008

Granitzer Gisela, Stocker A., Höfler Patrick

Informal Learning with Semantic Wikis in Enterprises: A Pragmatic Approach

ED-MEDIA 2008 - World Conference on Educational Multimedia, Hypermedia & Telecommunications in Vienna, Austria, 30 June - 4 July 2008, 2008

2008

Stocker A., Höfler Patrick, Granitzer Gisela, Willfort R., Anna Maria Köck, Pammer-Schindler Viktoria

Towards a Framework for Social Web Platforms: The Neurovation Case

Proceedings of the Third International Conference on Internet and Web Applications and Services (ICIW 2008), IEEE Computer Society Press, 2008

Konferenz
Social web platforms have become very popular in the so-called Web 2.0, and there is no end in sight. However, very few systematic models for the constitution of such sociotechnical infrastructures exist in the scientific literature. We therefore present a generic framework for building social web platforms based on the creation of value for individuals, communities and social networks. We applied this framework in the Neurovation project, aiming to establish a platform for creative knowledge workers. This paper describes work in progress and the lessons we have learned so far.
2008

Stocker A., Us Saeed A., Höfler Patrick, Strohmaier M.

Stakeholder-Orientierung als Gestaltungsprinzip für Corporate Web 2.0: Eine explorative Analyse

Hrsg.: Martin Bichler, Thomas Hess, Helmut Krcmar, Ulrike Lechner, Florian Matthes, Arnold Picot, Benjamin Speitkamp, Petra Wolf. , 2008

Konferenz
2008

Granitzer Gisela, Höfler Patrick

Learning With Social Semantic Technologies - Exploiting Latest Tools

Proceedings of Interactive Computer Aided Learning ICL 2008, September 24-26, 2008, 2008

Konferenz
2008

Granitzer Gisela, Höfler Patrick

Interne Soziale Netzwerke: Was bringen sie dem Unternehmen?

Computerzeitung, 2008

Konferenz
2007

Us Saeed A., Stocker A., Höfler Patrick

Learning with the Web 2.0: The Encyclopedia of Life

Proceedings of ICL (Conference on interactive computer aided learning), 2007

Konferenz
Kontakt Karriere

Hiermit erkläre ich ausdrücklich meine Einwilligung zum Einsatz und zur Speicherung von Cookies. Weiter Informationen finden sich unter Datenschutzerklärung

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close