@inproceedings{ubo_mods_00111873, author = {Stegemann, Timo and Ziegler, Jürgen}, editor = {Nikitina, Nadeschda and Song, Dezhao}, title = {Pattern-based analysis of SPARQL queries from the LSQ dataset}, booktitle = {Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks}, series = {CEUR Workshop Proceedings}, year = {2017}, publisher = {CEUR-WS}, address = {Aachen}, volume = {1963}, issn = {1613-0073}, url = {http://ceur-ws.org/Vol-1963/paper542.pdf} } @inproceedings{Stegemann2017, author = {Stegemann, Timo and Ziegler, Jürgen}, editor = {d’Amato, Claudia and Fernandez, Miriam and Tamma, Valentina and Lecue, Freddy and Cudré-Mauroux, Philippe and Sequeda, Juan and Lange, Christoph and Heflin, Jeff}, title = {Investigating Learnability, User Performance, and Preferences of the Path Query Language SemwidgQL Compared to SPARQL}, booktitle = {The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I}, year = {2017}, publisher = {Springer International Publishing}, address = {Cham}, pages = {611–627}, abstract = {In this paper, we present an empirical comparison of user performance and perceived usability for Sparql versus SemwidgQL, a path-oriented Rdf query language. We developed SemwidgQL to facilitate the formulation of Rdf queries and to enable non-specialist developers and web authors to integrate Linked Data and other semantic data sources into standard web applications. We performed a user study in which participants wrote a set of queries in both languages. We measured both objective performance as well as subjective responses to a set of questionnaire items. Results indicate that SemwidgQL is easier to learn, more efficient, and preferred by learners. To assess the applicability of SemwidgQL in real applications, we analyzed its expressiveness based on a large corpus of observed Sparql queries, showing that the language covers more than 90% of the typical queries performed on Linked Data.}, isbn = {978-3-319-68288-4}, doi = {10.1007/978-3-319-68288-4_36}, url = {https://doi.org/10.1007/978-3-319-68288-4_36} } @inproceedings{ubo:69423, author = {Gaulke, Werner and Ziegler, Jürgen}, chapter = {}, title = {Rule-enhanced task models for increased expressiveness and compactness}, year = {2016}, edition = {EICS ’16}, publisher = {ACM}, address = {Brussels, Belgium}, pages = {4–15}, isbn = {978-1-4503-4322-0}, doi = {10.1145/2933242.2933243}, abstract = {User centered design and development of interactive systems utilizes theoretically well-grounded, yet practical ways to capture user’s goals and intentions. Task models are an established approach to break down a central objective into a set of hierarchical organized tasks. While task models achieve to provide a good overview of the overall system, they often lack detail necessary to (semi-) automatically generate user interfaces. Based on requirements derived from a comprehensive overview of existing task model extensions, improvements and development methods, an approach that integrates logical rules with task models is introduced. By means of practical examples it is shown, that the integration of rules enables advanced execution flows as well as leaner task models thus improving their practical value.}, booktitle = {Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems} } @inproceedings{ubo:19282, author = {Heim, Philipp and Dalli, Deniz and Ziegler, Jürgen}, editor = {Herczeg, Michael and Kindsmüller, Christof Martin}, chapter = {}, title = {ListGraph: Visuelle Analyse von RDF-Daten}, year = {2008}, publisher = {Oldenburg}, address = {München}, isbn = {978-3-486-58900-9}, booktitle = {Mensch und Computer 2008} } @inproceedings{ubo:19846, author = {El Jerroudi, Zoulfa and Ziegler, Jürgen}, chapter = {}, title = {iMERGE: Interactive Ontology Merging}, year = {2008}, publisher = {Springer}, address = {Acitrezza, Italy}, abstract = {In this paper we present novel visual analytics techniques which help the user in the process of interactive ontology mapping and merging. A major contribution will be the strong integration and coupling of interactive visualizations with the merging process enabling the user to follow why concepts are merged and at which position in the ontology they are merged. For this purpose, adapted ontology similarity measures and new techniques for representing ontologies will be required to enable responsive, real time visualization and exploration of the comparing and merging results.}, booktitle = {EKAW 2008 – 16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns} } @inproceedings{ubo:19281, author = {Heim, Philipp and Ziegler, Jürgen}, editor = {Tochtermann, Klaus and Maurer, Hermann}, chapter = {}, title = {Handling the Complexity of RDF Data: Combining List and Graph Visualization}, year = {2008}, publisher = {J.UCS}, address = {Graz}, booktitle = {Proceedings of the 8th International Conference on Knowledge Management (I-KNOW 08)} } @inproceedings{ubo:19280, author = {Heim, Philipp and Lohmann, Steffen and Lauenroth, Kim and Ziegler, Jürgen}, chapter = {}, title = {Graph-based Visualization of Requirements Relationships}, year = {2008}, publisher = {IEEE}, address = {Los Alamitos, CA, USA}, abstract = {Understanding the relationships between require- ments is important in order to understand the requirements themselves. Existing requirements management tools mainly use lists, tables, trees, and matrices to visualize requirements and their interrelations. However, all these visualization forms have a limited capability to show multiple relationships of different types. In this paper, we propose to extend traditional requirements analysis and management by a graph-based visualization that allows to represent multidi- mensional relations in a direct and flexible way. In particular, we propose a special presentation form that enables the exploration of requirements along their relationships and facilitates understanding of dependencies between requirements.}, isbn = {978-0-7695-3629-3}, booktitle = {Proceedings of the 3rd International Workshop on Requirements Engineering Visualization (REV 08)} } @inproceedings{ubo:19692, author = {Heim, Philipp and Ziegler, Jürgen and Lohmann, Steffen}, editor = {Auer, Sören and Dietzold, Sebastian and Lohmann, Steffen and Ziegler, Jürgen}, chapter = {}, title = {gFacet: A Browser for the Web of Data}, year = {2008}, publisher = {CEUR-WS}, address = {Aachen}, abstract = {This paper introduces a new approach to browsing the Web of data by combining graph-based visualization with faceted filtering techniques. The graph-based visualization of facets supports the integration of different domains and an efficient exploration of highly structured and interrelated datasets. It allows to access information from distant user-defined perspectives and thereby enables the exploration beyond the borders of Web pages.}, url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-417/paper5.pdf}, booktitle = {Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW’08)} } @article{ubo:14862, author = {El Jerroudi, Z. and Ziegler, J.}, title = {Interaktives Vergleichen und Zusammenführen von Ontologien}, journal = {i-com: Zeitschrift für interaktive und kooperative Medien}, year = {2007}, volume = {6}, number = {3}, pages = {44–49}, abstract = {In dieser Arbeit werden semi-automatische Verfahren vorgestellt, die den Domänenexperten beim interaktiven Vergleichen und Zusammenführen von Ontologien unterstützen sollen. Das Ziel beim Vergleichen von zwei Ontologien besteht darin, eine Abbildung zwischen der Quell- und Zielontologie zu finden, die dem Nutzerverständnis einer semantischen Entsprechung am nächsten kommt. Für die Initialisierung des Vergleichsprozesses startet der iMERGING-Editor mit der linguistischen Ähnlichkeit von zwei Konzepten, danach werden die strukturellen Eigenschaften der Ontologie berücksichtigt und im dritten Schritt wird die Ähnlichkeit aufgrund zusätzlich vorhandener Informationen wie die Verknüpfung mit Dokumenten untersucht. Nutzereingaben, wie das Ablehnen oder Ändern eines Mappings, werden im Vergleichsprozess interaktiv berücksichtigt, so dass Domänenwissen des Nutzers mit einbezogen werden kann, um semantische Entsprechungen zwischen zwei Elementen der Wissensstruktur zu finden.}, issn = {1618-162X} }