Search (7 results, page 1 of 1)

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  1. Klems, M.: Finden, was man sucht! : Strategien und Werkzeuge für die Internet-Recherche (2003) 0.01 
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    Footnote
    Rez. in: FR Nr.165 vom 18.7.2003, S.14 (T.P. Gangloff) "Suchmaschinen sind unverzichtbare Helferinnen für die Internet-Recherche Doch wenn die Trefferliste zu viele Links anbietet, wird die Suche schon mal zur schlafraubenden Odyssee. Wer angesichts umfangreicher Trefferlisten verzweifelt, für den ist die Broschüre Finden, was man sucht! von Michael Klems das Richtige. Klems klärt zunächst über Grundsätzliches auf, weist darauf hin, dass die Recherchehilfen bloß Maschinen seien, man ihre oft an Interessen gekoppelten Informationen nicht ungeprüft verwenden solle und ohnehin das Internet nie die einzige Quelle sein dürfe. Interessant sind die konkreten Tipps - etwa zur effizienten Browsernutzung (ein Suchergebnis mit der rechten Maustaste in einem neuen Fenster öffnen; so behält man die Fundliste) oder zu Aufbau und Organisation eines Adressenverzeichnisses. Richtig spannend wird die Broschüre, wenn Klems endlich ins Internet geht. Er erklärt, wie die richtigen Suchbegriffe die Trefferquote erhöhen: Da sich nicht alle Maschinen am Wortstamm orientierten, empfehle es sich, Begriffe sowohl im Singular als auch im Plural einzugeben; außerdem plädiert Klems grundsätzlich für Kleinschreibung. Auch wie Begriffe verknüpft werden, lernt man. Viele Nutzer verlassen sich beim Recherchieren auf Google - und übersehen, dass Webkataloge oder spezielle Suchdienste nützlicher sein können. Klems beschreibt, wann welche Dienste sinnvoll sind: Mit einer Suchmaschine ist man immer auf dem neuesten Stand, während ein Katalog wie Web.de bei der Suche nach bewerteter Information hilft. Mets-Suchmaschinen wie Metager.de sind der Joker - und nur sinnvoll bei Begriffen mit potenziell niedriger Trefferquote. Ebenfalls viel versprechende Anlaufpunkte können die Diskussionsforen des Usenet sein, erreichbar über die Groups-Abfrage bei Google. Wertvoll sind die Tipps für die Literaturrecherche. Eine mehrseitige Linksammlung rundet die Broschüre ab"
  2. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.01 
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    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
    LCSH
    Information storage and retrieval
    Subject
    Information storage and retrieval
  3. Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004) 0.00 
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    Abstract
    Kostengünstige Massenspeicher und die zunehmende Vernetzung von Rechnern haben die Anzahl der Dokumente, auf die ein einzelnes Individuum zugreifen kann (bspw. Webseiten) oder die auf das Individuum einströmen (bspw. E-Mails), in den letzten Jahren rapide ansteigen lassen. In immer mehr Bereichen der Wirtschaft, Wissenschaft und Verwaltung nimmt der Bedarf an hochwertigen Information-Filtering und -Retrieval Werkzeugen zur Beherrschung der Informationsflut zu. Zur computergestützten Lösung dieser Problemstellung sind Modelle zur Repräsentation natürlichsprachlicher Dokumente erforderlich, um formale Kriterien für die automatisierte Auswahl relevanter Dokumente definieren zu können. Dominik Kuropka gibt in seiner Arbeit eine umfassende Übersicht über den Themenbereich der Suche und Filterung von natürlichsprachlichen Dokumenten. Es wird eine Vielzahl von Modellen aus Forschung und Praxis vorgestellt und evaluiert. Auf den Ergebnissen aufbauend wird das Potenzial von Ontologien in diesem Zusammenhang eruiert und es wird ein neues, ontologie-basiertes Modell für das Information-Filtering und -Retrieval erarbeitet, welches anhand von Text- und Code-Beispielen ausführlich erläutert wird. Das Buch richtet sich an Dozenten und Studenten der Informatik, Wirtschaftsinformatik und (Computer-)Linguistik sowie an Systemdesigner und Entwickler von dokumentenorientierten Anwendungssystemen und Werkzeugen.
    RSWK
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Information Retrieval / Relationales Datenmodell
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Informationsauswahl / Relationales Datenmodell
    Subject
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Information Retrieval / Relationales Datenmodell
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Informationsauswahl / Relationales Datenmodell
  4. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.00 
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    LCSH
    Information storage and retrieval system
    Information System
    Subject
    Information storage and retrieval system
    Information System
  5. Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.00 
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    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  6. Innovations and advanced techniques in systems, computing sciences and software engineering (2008) 0.00 
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    Content
    Inhalt: Image and Pattern Recognition: Compression, Image processing, Signal Processing Architectures, Signal Processing for Communication, Signal Processing Implementation, Speech Compression, and Video Coding Architectures. Languages and Systems: Algorithms, Databases, Embedded Systems and Applications, File Systems and I/O, Geographical Information Systems, Kernel and OS Structures, Knowledge Based Systems, Modeling and Simulation, Object Based Software Engineering, Programming Languages, and Programming Models and tools. Parallel Processing: Distributed Scheduling, Multiprocessing, Real-time Systems, Simulation Modeling and Development, and Web Applications. New trends in computing: Computers for People of Special Needs, Fuzzy Inference, Human Computer Interaction, Incremental Learning, Internet-based Computing Models, Machine Intelligence, Natural Language Processing, Neural Networks, and Online Decision Support System
  7. Cole, C.: ¬The consciousness' drive : information need and the search for meaning (2018) 0.00 
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    Footnote
    Cole's reliance upon Donald's Theory of Mind is limiting; it represents a major weakness of the book. Donald's Theory of Mind has been an influential model in evolutionary psychology, appearing in his 1991 book Origins of the Modern Mind: Three Stages in the Evolution of Culture and Cognition (Harvard University Press). Donald's approach is a top-down, conceptual model that explicates what makes the human mind different and exceptional from other animal intelligences. However, there are other alternative, useful, science-based models of animal and human cognition that begin with a bottom-up approach to understanding the building blocks of cognition shared in common by humans and other "intelligent" animals. For example, in "A Bottom-Up Approach to the Primate Mind," Frans B.M. de Waal and Pier Francesco Ferrari note that neurophysiological studies show that specific neuron assemblies in the rat hippocampus are active during memory retrieval and that those same assemblies predict future choices. This would suggest that episodic memory and future orientation aren't as advanced a process as Donald posits in his Theory of Mind. Also, neuroimaging studies in humans show that the cortical areas active during observations of another's actions are related in position and structure to those areas identified as containing mirror neurons in macaques. Could this point to a physiological basis for imitation? ... (Scott Curtis)"
    LCSH
    Information Storage and Retrieval
    Subject
    Information Storage and Retrieval

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