Scientific Publications

@inbook{Nazemi2014e,

title = {SemaVis: A New Approach for Visualizing Semantic Information},

author = {Kawa Nazemi and Matthias Breyer and Dirk Burkhardt and Christian Stab and Jörn Kohlhammer},

editor = {Wolfgang Wahlster and Hans-Joachim Grallert and Stefan Wess and Hermann Friedrich and Thomas Widenka},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2014theseus.pdf, Paper as PDF},

doi = {10.1007/978-3-319-06755-1_15},

isbn = {978-3-319-06755-1},

year  = {2014},

date = {2014-07-02},

booktitle = {Towards the Internet of Services: The THESEUS Research Program},

pages = {191--202},

publisher = {Springer International Publishing},

address = {Switzerland},

chapter = {15},

series = {Cognitive Technologies},

abstract = {Information is an indispensable resource today. Access to and interaction with information play more and more a key role, whereas the amount of accessible information increases. Semantic technologies provide new solutions to structure this important property. One promising way to access the complex semantic structures and the huge amount of data is visualization. Today's Semantic Visualization systems offer primarily proprietary solutions for predefined and known users and usage scenarios. The adaptation to other scenarios and users is often cost- and time-consuming. This article presents a novel model for a fully adaptable and adaptive Semantics Visualization framework. Starting with the introduction of a new visualization model, the implementation of this model will be described. The article concludes with selected advantages of the described visualization technology.},

keywords = {Resource Description Framework, Semantic Data, Semantic Information, Semantic Structure, Usage Scenario},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{Stab2013,

title = {Visualizing Search Results of Linked Open Data},

author = {Christian Stab and Dirk Burkhardt and Matthias Breyer and Kawa Nazemi},

editor = {Tim Hussein and Heiko Paulheim and Stephan Lukosch and Jürgen Ziegler and Gaëlle Calvary},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2013semai.pdf, Paper as PDF},

doi = {10.1007/978-1-4471-5301-6_7},

isbn = {978-1-4471-5301-6},

year  = {2013},

date = {2013-03-01},

booktitle = {Semantic Models for Adaptive Interactive Systems},

pages = {133--149},

publisher = {Springer},

address = {London, United Kindgdom},

abstract = {Finding accurate information of high quality is still a challenging task particularly with regards to the increasing amount of resources in current information systems. This is especially true if policy decisions that impact humans, economy or environment are based on the demanded information. For improving search result generation and analyzing user queries more and more information retrieval systems utilize Linked Open Data and other semantic knowledge bases. Nevertheless, the semantic information that is used during search result generation mostly remains hidden from the users although it significantly supports users in understanding and assessing search results. The presented approach combines information visualizations with semantic information for offering visual feedback about the reasons the results were retrieved. It visually represents the semantic interpretation and the relation between query terms and search results to offer more transparency in search result generation and allows users to unambiguously assess the relevance of the retrieved resources for their individual search. The approach also supports the common search strategies by providing visual feedback for query refinement and enhancement. Besides the detailed description of the search system, an evaluation of the approach shows that the use of semantic information considerably supports users in assessment and decision-making tasks.},

keywords = {Querying, Result List, Search Result, Semantic Information, Task Completion Time},

pubstate = {published},

tppubtype = {inbook}

}