Scientific Publications

2012
2.		Stab, Christian; Nazemi, Kawa; Breyer, Matthias; Burkhardt, Dirk; Kohlhammer, Jörn Semantics Visualization for Fostering Search Result Comprehension Proceedings Article In: Simperl, Elena; Cimiano, Philipp; Polleres, Axel; Corcho, Oscar; Presutti, Valentina (Ed.): The Semantic Web: Research and Applications; Research and Applications. ESWC 2012, pp. 633–646, Springer, Berlin, Heidelberg, Germany, 2012, ISBN: 978-3-642-30284-8. Abstract \| Links \| BibTeX \| Tags: Information Visualization, Search User Interface, Semantic Search, SemaVis, Visual Query Enhancement @inproceedings{Stab2012, title = {Semantics Visualization for Fostering Search Result Comprehension}, author = {Christian Stab and Kawa Nazemi and Matthias Breyer and Dirk Burkhardt and Jörn Kohlhammer}, editor = {Elena Simperl and Philipp Cimiano and Axel Polleres and Oscar Corcho and Valentina Presutti}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2012eswc.pdf, Paper as PDF http://2012.eswc-conferences.org, Conference Site}, doi = {10.1007/978-3-642-30284-8_49}, isbn = {978-3-642-30284-8}, year = {2012}, date = {2012-05-27}, booktitle = {The Semantic Web: Research and Applications; Research and Applications. ESWC 2012}, volume = {7295}, pages = {633--646}, publisher = {Springer}, address = {Berlin, Heidelberg, Germany}, series = {Lecture Notes in Computer Science, vol 7295}, abstract = {Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.}, keywords = {Information Visualization, Search User Interface, Semantic Search, SemaVis, Visual Query Enhancement}, pubstate = {published}, tppubtype = {inproceedings} } Close Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases. Close Paper as PDF Conference Site doi:10.1007/978-3-642-30284-8_49 Close
2011
1.		Stab, Christian; Nazemi, Kawa; Breyer, Matthias; Burkhardt, Dirk; Kuijper, Arjan Interacting with Semantics and Time Proceedings Article In: Jacko, Julie A. (Ed.): Human-Computer Interaction. Users and Applications, pp. 520–529, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21619-0. Abstract \| Links \| BibTeX \| Tags: Information Visualization, Semantic Search, Semantic Visualization, Time-Dependent Ontology, Timeline Visualization @inproceedings{Stab2011, title = {Interacting with Semantics and Time}, author = {Christian Stab and Kawa Nazemi and Matthias Breyer and Dirk Burkhardt and Arjan Kuijper}, editor = {Julie A. Jacko}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2011hcii-viii.pdf, Paper as PDF http://2011.hci.international/, Conference Site}, doi = {10.1007/978-3-642-21619-0_64}, isbn = {978-3-642-21619-0}, year = {2011}, date = {2011-07-09}, booktitle = {Human-Computer Interaction. Users and Applications}, volume = {6764}, pages = {520--529}, publisher = {Springer}, address = {Berlin, Heidelberg, Germany}, series = {Lecture Notes in Computer Science, vol 6764}, abstract = {Time appears in many different semantic information systems like historical databases, multimedia systems or social communities as a common attribute. Beside the temporal information, the resources in these domains are categorized in a domain-specific schema and interconnected by semantic relations. Nevertheless, the high potential of these systems is not yet exhausted completely. Even today most of these knowledge systems present time-dependent semantic knowledge in textual form, what makes it difficult for the average user to understand temporal structures and dependencies. For bridging this gap between human and computer and for simplifying the exploration of time-dependent semantic knowledge, we developed a new interactive timeline visualization called SemaTime. The new designed temporal navigation concept offers an intuitive way for exploring and filtering time-depended resources. Additionally SemaTime offers navigation and visual filtering methods on the conceptual layer of the domain and is able to depict semantic relations. In this paper we describe the conceptual design of SemaTime and illustrate its application potentials in semantic search environments.}, keywords = {Information Visualization, Semantic Search, Semantic Visualization, Time-Dependent Ontology, Timeline Visualization}, pubstate = {published}, tppubtype = {inproceedings} } Close Time appears in many different semantic information systems like historical databases, multimedia systems or social communities as a common attribute. Beside the temporal information, the resources in these domains are categorized in a domain-specific schema and interconnected by semantic relations. Nevertheless, the high potential of these systems is not yet exhausted completely. Even today most of these knowledge systems present time-dependent semantic knowledge in textual form, what makes it difficult for the average user to understand temporal structures and dependencies. For bridging this gap between human and computer and for simplifying the exploration of time-dependent semantic knowledge, we developed a new interactive timeline visualization called SemaTime. The new designed temporal navigation concept offers an intuitive way for exploring and filtering time-depended resources. Additionally SemaTime offers navigation and visual filtering methods on the conceptual layer of the domain and is able to depict semantic relations. In this paper we describe the conceptual design of SemaTime and illustrate its application potentials in semantic search environments. Close Paper as PDF Conference Site doi:10.1007/978-3-642-21619-0_64 Close