Search (5 results, page 1 of 1)

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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

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Abstract

"Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

LCSH

Research / Methodology
Research / Data processing

Subject

Research / Methodology
Research / Data processing

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Abstract

Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).

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Content

Kapitel 1; Corporate Semantic Web; 1.1 Das Semantic Web; 1.2 Semantische Anwendungen im Unternehmenseinsatz; 1.3 Bereitstellen von Linked Data reicht nicht; 1.4 Eine global vernetzte Wissensbasis -- Fiktion oder Realität?; 1.5 Semantik)=)RDF?; 1.6 Richtig vorgehen; 1.7 Modellieren ist einfach (?!); 1.8 Juristische Fragen; 1.9 Semantische Anwendungen stiften Nutzen in Unternehmen -- nachweislich!; 1.10 Fazit; Literatur; Kapitel 2; Einordnung und Abgrenzung des Corporate Semantic Webs; 2.1 Grundlegende Begriffe; 2.2 Corporate Semantic Web 2.3 Public Semantic Web2.4 Social Semantic Web 3.0; 2.5 Pragmatic Web; 2.6 Zusammenfassung und Ausblick "Ubiquitous Pragmatic Web 4.0"; Literatur; Kapitel 3; Marktstudie: Welche Standards und Tools werden in Unternehmen eingesetzt?; 3.1 Einleitung; 3.2 Semantische Suche in Webarchiven (Quantinum AG); 3.2.1 Kundenanforderungen; 3.2.2 Technische Umsetzung; 3.2.3 Erfahrungswerte; 3.3 Semantische Analyse und Suche in Kundenspezifikationen (Ontos AG); 3.3.1 Kundenanforderungen; 3.3.2 Technische Umsetzung; 3.3.3 Erfahrungswerte 3.4 Sicherheit für Banken im Risikomanagement (VICO Research & Consulting GmbH)3.4.1 Kundenanforderungen; 3.4.2 Technische Umsetzung; 3.4.3 Erfahrungswerte; 3.5 Interaktive Fahrzeugdiagnose (semafora GmbH); 3.5.1 Kundenanforderungen; 3.5.2 Technische Umsetzung; 3.5.3 Erfahrungswerte; 3.6 Quo Vadis?; 3.7 Umfrage-Ergebnisse; 3.8 Semantic Web Standards & Tools; 3.9 Ausblick; Literatur; Kapitel 4; Modellierung des Sprachraums von Unternehmen; 4.1 Hintergrund; 4.2 Eine Frage der Bedeutung; 4.3 Bedeutung von Begriffen im Unternehmenskontext; 4.3.1 Website-Suche bei einem Industrieunternehmen 4.3.2 Extranet-Suche bei einem Marktforschungsunternehmen4.3.3 Intranet-Suche bei einem Fernsehsender; 4.4 Variabilität unserer Sprache und unseres Sprachgebrauchs; 4.4.1 Konsequenzen des Sprachgebrauchs; 4.5 Terminologiemanagement und Unternehmensthesaurus; 4.5.1 Unternehmensthesaurus; 4.5.2 Mut zur Lücke: Arbeiten mit unvollständigen Terminologien; 4.6 Pragmatischer Aufbau von Unternehmensthesauri; 4.6.1 Begriffsanalyse des Anwendungsbereichs; 4.6.2 Informationsquellen; 4.6.3 Häufigkeitsverteilung; 4.6.4 Aufwand und Nutzen; Literatur; Kapitel 5 Schlendern durch digitale Museen und Bibliotheken5.1 Einleitung; 5.2 Anwendungsfall 1: Schlendern durch das Digitale Museum; 5.3 Anwendungsfall 2: Literatur in Bibliotheken finden; 5.4 Herausforderungen; 5.5 Die Anforderungen treiben die Architektur; 5.5.1 Semantic ETL; 5.5.2 Semantic Logic; 5.5.3 Client; 5.6 Diskussion; 5.7 Empfehlungen und Fazit; Literatur; Kapitel 6; Semantische Suche im Bereich der Energieforschungsförderung; 6.1 Das Projekt EnArgus®; 6.2 Die Fachontologie; 6.2.1 Semantische Suche; 6.2.2 Repräsentation der semantischen Relationen in der Fachontologie

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Abstract

What is the uniquely human factor in finding and using information to produce new knowledge? Is there an underlying aspect of our thinking that cannot be imitated by the AI-equipped machines that will increasingly dominate our lives? This book answers these questions, and tells us about our consciousness - its drive or intention in seeking information in the world around us, and how we are able to construct new knowledge from this information. The book is divided into three parts, each with an introduction and a conclusion that relate the theories and models presented to the real-world experience of someone using a search engine. First, Part I defines the exceptionality of human consciousness and its need for new information and how, uniquely among all other species, we frame our interactions with the world. Part II then investigates the problem of finding our real information need during information searches, and how our exceptional ability to frame our interactions with the world blocks us from finding the information we really need. Lastly, Part III details the solution to this framing problem and its operational implications for search engine design for everyone whose objective is the production of new knowledge. In this book, Charles Cole deliberately writes in a conversational style for a broader readership, keeping references to research material to the bare minimum. Replicating the structure of a detective novel, he builds his arguments towards a climax at the end of the book. For our video-game, video-on-demand times, he has visualized the ideas that form the book's thesis in over 90 original diagrams. And above all, he establishes a link between information need and knowledge production in evolutionary psychology, and thus bases his arguments in our origins as a species: how we humans naturally think, and how we naturally search for new information because our consciousness drives us to need it.