-
Eckert, K.; Pfeffer, M.; Stuckenschmidt, H.: Assessing thesaurus-based annotations for semantic search applications (2008)
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- Date
- 25. 2.2012 13:51:29
-
Vizine-Goetz, D.: DeweyBrowser (2006)
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- Date
- 28. 9.2008 19:16:29
-
Tufte, E.R.: ¬The visual display of quantitative information (1983)
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- Date
- 19. 7.2017 13:13:29
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Trunk, D.: Semantische Netze in Informationssystemen : Verbesserung der Suche durch Interaktion und Visualisierung (2005)
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- Date
- 30. 1.2007 18:22:41
-
Xiaoyue M.; Cahier, J.-P.: Iconic categorization with knowledge-based "icon systems" can improve collaborative KM (2011)
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- Abstract
- Icon system could represent an efficient solution for collective iconic categorization of knowledge by providing graphical interpretation. Their pictorial characters assist visualizing the structure of text to become more understandable beyond vocabulary obstacle. In this paper we are proposing a Knowledge Engineering (KM) based iconic representation approach. We assume that these systematic icons improve collective knowledge management. Meanwhile, text (constructed under our knowledge management model - Hypertopic) helps to reduce the diversity of graphical understanding belonging to different users. This "position paper" also prepares to demonstrate our hypothesis by an "iconic social tagging" experiment which is to be accomplished in 2011 with UTT students. We describe the "socio semantic web" information portal involved in this project, and a part of the icons already designed for this experiment in Sustainability field. We have reviewed existing theoretical works on icons from various origins, which can be used to lay the foundation of robust "icons systems".
-
Sahib, N.G.; Tombros, A.; Stockman, T.: Evaluating a search interface for visually impaired searchers (2015)
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- Abstract
- Understanding the information-seeking behavior of visually impaired users is essential to designing search interfaces that support them during their search tasks. In a previous article, we reported the information-seeking behavior of visually impaired users when performing complex search tasks on the web, and we examined the difficulties encountered when interacting with search interfaces via speech-based screen readers. In this article, we use our previous findings to inform the design of a search interface to support visually impaired users for complex information seeking. We particularly focus on implementing TrailNote, a tool to support visually impaired searchers in managing the search process, and we also redesign the spelling-support mechanism using nonspeech sounds to address previously observed difficulties in interacting with this feature. To enhance the user experience, we have designed interface features to be technically accessible as well as usable with speech-based screen readers. We have evaluated the proposed interface with 12 visually impaired users and studied how they interacted with the interface components. Our findings show that the search interface was effective in supporting participants for complex information seeking and that the proposed interface features were accessible and usable with speech-based screen readers.
-
Brantl, M.; Ceynowa, K.; Meiers, T.; Wolf, T.: Visuelle Suche in historischen Werken (2017)
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- Abstract
- Die Bayerische Staatsbibliothek (BSB) zählt mit ihrem Bestand von knapp 11 Mio. Bänden zu den bedeutendsten Universalbibliotheken der Welt. Bereits 1,2 Mio. Werke sind digitalisiert, was die BSB zur größten digitalen Kulturinstitution in Deutschland macht. Dieser digitale Bestand umfasst vorwiegend urheberrechtsfreie Werke vom 8. bis ins 20. Jahrhundert, von der mittelalterlichen Bibelhandschrift bis zur Boulevardzeitung der 1920er-Jahre. Diese Vielfalt des zu digitalisierenden schriftlichen Kulturerbes und das hohe Tempo der Massendigitalisierung in den letzten Jahren haben ihren Preis - die inhaltliche Erschließung der Werke hinkt hinterher, insbesondere bei Werken, die nicht mittels Optical Character Recognition-Verfahren (OCR) automatisiert maschinenlesbar transformiert und zugänglich gemacht werden können. Dies gilt insbesondere für mittelalterliche Handschriften, Alte Druck- und Spezialbestände. Deshalb blieb auch der reichhaltige, in diesen Werken verborgene Bildbestand für den Nutzer weitestgehend verborgen und konnte lediglich durch das Durchblättern am Bildschirm entdeckt werden. Dies war Motivation für die Bayerische Staatsbibliothek, gemeinsam mit dem Fraunhofer Heinrich-Hertz-Institut in Berlin ein System zur ähnlichkeitsbasierten Bildsuche aufzubauen, welches sämtliche Bildinhalte aller 1,2 Mio. Digitalisate automatisch identifiziert. Hierbei werden mittels morphologischer Verfahren Bilder aus den Buchseiten extrahiert, die danach aufgrund von Farb- und Kantenmerkmalen klassifiziert werden. Bilder "ohne Informationswert" werden mit Hilfe von Methoden aus dem Bereich des maschinellen Lernens herausgefiltert. Damit konnten aus den digitalisierten Werken der BSB bislang mehr als 43 Mio. einzelne Bilder identifiziert werden, die mittels einer hochperformanten Suchmaschine über eine frei verfügbare Web-Applikation dem Anwender direkt zur Verfügung stehen. Dank der Vielfalt und Reichhaltigkeit der indexierten Bestände spricht dieses Angebot nicht nur Historiker und Buchwissenschaftler an, sondern Interessierte aus den unterschiedlichsten Fachrichtungen. Die Ähnlichkeitssuche stellt dabei unbekannte, ungewöhnliche und oftmals überraschende Bezüge zwischen unterschiedlichsten Werken her.
-
Wild, F.: Visuelle Verfahren im Information Retrieval (2005)
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- Source
- Information - Wissenschaft und Praxis. 56(2005) H.1, S.29-34
-
Passath, C.: Information-Panels : Die Informationsvermittler der Zukunft (2005)
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- Date
- 29. 1.1997 18:49:05
-
Soylu, A.; Giese, M.; Jimenez-Ruiz, E.; Kharlamov, E.; Zheleznyakov, D.; Horrocks, I.: Towards exploiting query history for adaptive ontology-based visual query formulation (2014)
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- Source
- Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
-
Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010)
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- Date
- 22. 7.2010 19:36:46
-
Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013)
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- Date
- 4. 2.2015 9:22:39
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Eibl, M.; Mandl, T.: ¬Die Qualität von Visualisierungen : eine Methode zum Vergleich zweidimensionaler Karten (2004)
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- Date
- 29. 1.2005 19:17:50
-
Linden, E.J. van der; Vliegen, R.; Wijk, J.J. van: Visual Universal Decimal Classification (2007)
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- Source
- Extensions and corrections to the UDC. 29(2007), S.297-300
-
Trentin, G.: Graphic tools for knowledge representation and informal problem-based learning in professional online communities (2007)
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- Date
- 28. 2.2008 14:16:29
-
Osiñska, V.: Visual analysis of classification scheme (2010)
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- Date
- 6. 1.2011 19:29:12
-
Mercun, T.; Zumer, M.; Aalberg, T.: Presenting bibliographic families : Designing an FRBR-based prototype using information visualization (2016)
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- Date
- 15. 4.2016 14:29:41
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Wen, B.; Horlings, E.; Zouwen, M. van der; Besselaar, P. van den: Mapping science through bibliometric triangulation : an experimental approach applied to water research (2017)
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- Date
- 16.11.2017 13:29:12
-
Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006)
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- Date
- 22. 7.2006 16:11:05
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Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016)
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- Date
- 20. 1.2015 18:30:22
