Search (658 results, page 1 of 33)

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Content

Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.

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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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Source

http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

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Abstract

Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries, we designed an author name disambiguation system consisting of similarity estimation and agglomerative clustering. A machine-learning method was employed to score the features for disambiguating a pair of papers with ambiguous names. These features enable the computation of pairwise similarity scores to estimate the probability of a pair of papers belonging to the same author, which drives an agglomerative clustering algorithm regulated by 2 factors: name compatibility and probability level. With transitivity violation correction, high precision author clustering is achieved by focusing on minimizing false-positive pairing. Disambiguation performance is evaluated with manual verification of random samples of pairs from clustering results. When compared with a state-of-the-art system, our evaluation shows that among all the pairs the lumping error rate drops from 10.1% to 2.2% for our system, while the splitting error rises from 1.8% to 7.7%. This results in an overall error rate of 9.9%, compared with 11.9% for the state-of-the-art method. Other evaluations based on gold standard data also show the increase in accuracy of our clustering. We attribute the performance improvement to the machine-learning method driven by a large-scale training set and the clustering algorithm regulated by a name compatibility scheme preferring precision. With integration of the author name disambiguation system into the PubMed search engine, the overall click-through-rate of PubMed users on author name query results improved from 34.9% to 36.9%.

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Abstract

Social image-sharing websites have attracted a large number of users. These systems allow users to associate geolocation information with their images, which is essential for many interesting applications. However, only a small fraction of social images have geolocation information. Thus, an automated tool for suggesting geolocation is essential to help users geotag their images. In this article, we use a large data set consisting of 221 million Flickr images uploaded by 2.2 million users. For the first time, we analyze user uploading patterns, user geotagging behaviors, and the relationship between the taken-time gap and the geographical distance between two images from the same user. Based on the findings, we represent a user profile by historical tags for the user and build a multinomial model on the user profile for geotagging. We further propose a unified framework to suggest geolocations for images, which combines the information from both image tags and the user profile. Experimental results show that for images uploaded by users who have never done geotagging, our method outperforms the state-of-the-art method by 10.6 to 34.2%, depending on the granularity of the prediction. For images from users who have done geotagging, a simple method is able to achieve very high accuracy.

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Content

Contents: 1. Introduction; 2. Theoretical views: 2.1 Charles Ammi Cutter (1837-1903), 2.2 S. R. Ranganathan (1892-1972), 2.3 Patrick Wilson (1927-2003), 2.4 "Content oriented" versus "request oriented" views, 2.5 Issues of subjectivity and objectivity, 2.6 The subject knowledge view, 2.7 Other views and definitions; 3. Related concepts: 3.1 Words versus concepts versus subjects, 3.2 Aboutness, 3.3 Topic, 3.4 Isness, 3.5 Ofness, 3.6 Theme.

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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Content

Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.

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Footnote

https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.

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Content

Article Outline 1. Introduction 2. SKOS-based multilingual thesaurus of geological time scale 2.1. Addressing the insufficiency of SKOS in the context of the Semantic Web 2.2. Addressing semantics and syntax/lexicon in multilingual GTS terms 2.3. Extending SKOS model to capture GTS structure 2.4. Summary of building the SKOS-based MLTGTS 3. Recognizing and translating GTS terms retrieved from WMS 4. Pilot system, results, and evaluation 5. Discussion 6. Conclusions Vgl. unter: http://www.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271720&_user=3865853&_pii=S0098300411000744&_check=y&_origin=&_coverDate=31-Oct-2011&view=c&wchp=dGLbVlt-zSkzS&_valck=1&md5=e2c1daf53df72d034d22278212578f42&ie=/sdarticle.pdf.

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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

Am 12. Dezember 2017 ist das neue Release des RDA Toolkits erschienen. Dabei gab es, aufgrund des 3R-Projekts (RDA Toolkit Restruction and Redesign Project), keine inhaltlichen Änderungen am RDA-Text. Es wurden ausschließlich die Übersetzungen in finnischer und französischer Sprache, ebenso wie die dazugehörigen Policy statements, aktualisiert. Für den deutschsprachigen Raum wurden in der Übersetzung zwei Beziehungskennzeichnungen geändert: Im Anhang I.2.2 wurde die Änderung von "Sponsor" zu "Träger" wieder rückgängig gemacht. In Anhang K.2.3 wurde "Sponsor" zu "Person als Sponsor" geändert. Außerdem wurde die Übersetzung der Anwendungsrichtlinien (D-A-CH AWR) ins Französische aktualisiert. Dies ist das vorletzte Release vor dem Rollout des neuen Toolkits. Das letzte Release im Januar/Februar 2018 wird die norwegische Übersetzung enthalten. Im Juni 2018 wird das RDA Toolkit ein Relaunch erfahren und mit einer neuen Oberfläche erscheinen. Dieser beinhaltet ein Redesign der Toolkit-Oberfläche und die inhaltliche Anpassung des Standards RDA an das Library Reference Model (IFLA LRM) sowie die künftige stärkere Ausrichtung auf die aktuellen technischen Möglichkeiten. Zunächst wird im Juni 2018 die englische Originalausgabe der RDA in der neuen Form erscheinen. Alle Übersetzungen werden in einer Übergangszeit angepasst. Hierfür wird die alte Version des RDA Toolkit für ein weiteres Jahr zur Verfügung gestellt. Der Stand Dezember 2017 der deutschen Ausgabe und die D-A-CH-Anwendungsrichtlinien bleiben bis zur Anpassung eingefroren. Nähere Information zum Rollout finden Sie unter dem folgenden Link<http://www.rdatoolkit.org/3Rproject/SR3>. [Inetbib vom 13.12.2017]

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Content

PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.

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Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

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Content

Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>

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Vgl. auch: http://www.basiswissen-rda.de/. IAllgemeiner Teil; 1 Formalerschließung: Konzepte und Standards; 1.1 Ziele von Formalerschließung; 1.2 Bisherige Regelwerke; 1.3 Bibliografische Beschreibung; 1.4 Eintragungen und Verweisungen; 1.5 EDV-Katalogisierung; 1.6 Aktuelle Herausforderungen; 2 Das FRBR-Modell; 2.1 Grundlagen; 2.2 Entitäten der Gruppe 1; 2.3 Entitäten der Gruppe 2; 2.4 FRBR in der Praxis; 3 RDA: Grundlagen; 3.1 Die Entwicklung von RDA; 3.2 RDA und FRBR; 3.3 Weitere Grundprinzipien von RDA; 3.4 Das RDA Toolkit; Haupteil; 4 Manifestationen und Exemplare; 4.1 Allgemeines 4.2 Grundprinzipien beim Erfassen und Übertragen4.3 Informationsquellen; 4.4 Titel der Manifestation; 4.5 Verantwortlichkeitsangabe; 4.6 Ausgabevermerk; 4.7 Erscheinungsvermerk; 4.8 Gesamttitelangabe; 4.9 Erscheinungsweise; 4.10 Identifikator für die Manifestation; 4.11 Anmerkung zur Manifestation; 4.12 Medientyp und Datenträgertyp; 4.13 Umfang; 4.14 Weitere Merkmale von Datenträgern; 4.15 Bezugs- und Zugangsinformationen; 4.16 Merkmale auf Exemplar-Ebene; 4.17 Begleitmaterial; 4.18 Beschreibung von mehrteiligen Monografien; 4.19 Beschreibung von monografischen Reihen 4.20 Beschreibung von integrierenden Ressourcen

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Date

20. 1.2015 18:30:22

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Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.

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Date

22. 7.2004 9:42:33
22. 4.2017 11:58:05

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22. 4.2017 10:42:05
22. 4.2017 10:48:38