Menü Überspringen
Kontakt
Presse
Deutsch
English
Not track
Datenverarbeitung
Suche
Anmelden
DIPF aktuell
Forschung
Infrastrukturen
Institut
Zurück
Kontakt
Presse
Deutsch
English
Not track
Datenverarbeitung
Suche
Startseite
>
Forschung
>
Publikationen
>
Publikationendatenbank
Ergebnis der Suche in der DIPF Publikationendatenbank
Ihre Abfrage:
(Schlagwörter: "World wide web 2.0")
zur erweiterten Suche
Suchbegriff
Nur Open Access
Suchen
Markierungen aufheben
Alle Treffer markieren
Export
36
Inhalte gefunden
Alle Details anzeigen
A model of online reading engagement. Linking engagement, navigation, and performance in digital […]
Naumann, Johannes
Zeitschriftenbeitrag
| In: Computers in Human Behavior | 2015
35613 Endnote
Autor*innen:
Naumann, Johannes
Titel:
A model of online reading engagement. Linking engagement, navigation, and performance in digital reading
In:
Computers in Human Behavior, 53 (2015) , S. 263-277
DOI:
10.1016/j.chb.2015.06.051
URN:
urn:nbn:de:0111-pedocs-179745
URL:
http://nbn-resolving.org/urn:nbn:de:0111-pedocs-179745
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Digitale Medien; Hypertext; Internet; Lesekompetenz; Lesen; Leseverhalten; Logdatei; Mediennutzung; Metaanalyse; Modell; Motivation; Online; PISA <Programme for International Student Assessment>; Schüler; Soziales Netzwerk; World wide web 2.0
Abstract:
A model of online reading engagement is outlined. This model proposes that online reading engagement predicts dedication in digital reading. Dedication in digital reading according to the model is reflected in task-adaptive navigation, and task-adaptive navigation predicts digital reading performance over and above print reading skill. Information engagement is assumed to positively predict task-adaptive navigation, while social engagement is assumed to negatively predict task-adaptive navigation. These hypotheses were tested using OECD PISA 2009 Digital Reading Assessment data from 17 countries and economies (N = 29,395). Individual task responses served as the primary unit of analysis. Linear mixed models were used to predict navigation behavior from the interaction of information and social online reading engagement with navigation demands. High information engagement was associated with more task-adaptive navigation behavior, as shown by significant positive interactions between information engagement and tasks' navigation demands. In contrast, high social engagement was associated with less adaptive navigation behavior, as shown by negative interactions between social engagement and navigation demands. Generalized linear mixed models were used to predict task performance by the interaction of navigation demands and navigation behavior. Adaptive navigation behavior predicted digital reading task performance, as shown by significant interactions between navigation behavior and navigation demands. These results are in support of the proposed model of online reading engagement. (DIPF/Orig.)
DIPF-Abteilung:
Bildungsqualität und Evaluation
Qualitative web analytics. New insights into navigation analysis and user behavior - A case study […]
Keil, Stefan; Böhm, Peter; Rittberger, Marc
Sammelbandbeitrag
| Aus: Pehar, Franjo; Schlögl, Christian; Wolff, Christian (Hrsg.): Re:inventing Information Science in the networked society: Proceedings of the 14th International Symposium of Information Science (ISI 2015) | Glückstadt: Hülsbusch | 2015
35461 Endnote
Autor*innen:
Keil, Stefan; Böhm, Peter; Rittberger, Marc
Titel:
Qualitative web analytics. New insights into navigation analysis and user behavior - A case study of the German Education Server
Aus:
Pehar, Franjo; Schlögl, Christian; Wolff, Christian (Hrsg.): Re:inventing Information Science in the networked society: Proceedings of the 14th International Symposium of Information Science (ISI 2015), Glückstadt: Hülsbusch, 2015 (Schriften zur Informationswissenschaft, 66), S. 252-263
DOI:
10.5281/zenodo.17938
URN:
urn:nbn:de:0111-dipfdocs-189486
URL:
http://www.dipfdocs.de/volltexte/2020/18948/pdf/Qualitative_Web_Analytics_A.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Benutzerfreundlichkeit; Bildungsserver; Datenanalyse; Deutschland; Fallstudie; Logdatei; Nutzerverhalten; Qualität; Qualitative Forschung; Website; World wide web 2.0
Abstract:
Web analytics is a common approach to monitoring and analyzing user behavior on websites. We investigated three different research aspects which can be addressed using web analytics data. Our main concern was the data quality, followed by general findings on user behavior as well as potential usability issues. We chose an iterative, qualitative approach in order to address all three aspects. Further, we annotated usage data in detail to achieve a deeper understanding of possible user intentions. As a result, we conclude that the use of web analytics data, captured with a modern and widely used tool, bears some limitations for usability analysis, as semantic problems occur that are often overlooked. Further pre-processing is needed to reconstruct the real clickstream when an analysis of the navigation and user behavior is planned. Some hints at usability issues could be found by detecting movement patterns between certain page types. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Social media usage in education related web search. An analysis of the information behavior of […]
Löwe Kiedrowski, Kim von; Mahrholz, Nadine; Griesbaum, Joachim; Rittberger, Marc
Sammelbandbeitrag
| Aus: Pehar, Franjo;Schlögl, Christian;Wolff, Christian (Hrsg.): Re:inventing Information Science in the networked society: Proceedings of the 14th International Symposium on Information Science (ISI 2015) | Glückstadt: Hülsbusch | 2015
35456 Endnote
Autor*innen:
Löwe Kiedrowski, Kim von; Mahrholz, Nadine; Griesbaum, Joachim; Rittberger, Marc
Titel:
Social media usage in education related web search. An analysis of the information behavior of students of education related study paths in Germany
Aus:
Pehar, Franjo;Schlögl, Christian;Wolff, Christian (Hrsg.): Re:inventing Information Science in the networked society: Proceedings of the 14th International Symposium on Information Science (ISI 2015), Glückstadt: Hülsbusch, 2015 (Schriften zu Informationswissenschaft, 66), S. 264-277
DOI:
10.5281/zenodo.17946
URL:
https://zenodo.org/record/17946?ln=en
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Befragung; Deutschland; Empirische Untersuchung; Evaluation; Fachportal; Information; Information Retrieval; Informationsverhalten; Kommunikation; Lehramtsstudent; Mediennutzung; Pädagogik; Qualität; Soziales Netzwerk; Soziale Software; Student; Wiki; Wissensmanagement; World wide web 2.0
Abstract:
This paper discusses social media usage and quality evaluation for education related information seeking. To address this, we conducted a focus group study and an online survey with students enrolled in education related study paths. Altogether, results show that social media and classic or standard information resources do not compete but rather complement each other. Social media are primarily consulted in early phases of the information seeking process and for communication and knowledge management purposes. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Erschließung schulischer Unterrichtsmaterialien in den Informationssystemen Elixier und Edutags. […]
Höhler, Matthias
Monographie
| Potsdam: Fachhochschule | 2014
34973 Endnote
Autor*innen:
Höhler, Matthias
Titel:
Erschließung schulischer Unterrichtsmaterialien in den Informationssystemen Elixier und Edutags. Abbildung einer Folksonomy auf eine Fachsystematik als Beitrag zur Rechercheoptimierung (Am Beispiel des Englischunterrichts)
Erscheinungsvermerk:
Potsdam: Fachhochschule, 2014
Dokumenttyp:
1. Monographien (Autorenschaft); Monographie
Sprache:
Deutsch
Schlagwörter:
Internet; Social Tagging; Soziale Software; Suchmaschine; Unterrichtsmedien; World wide web 2.0
Abstract:
Die Arbeit untersucht im Hinblick auf Fragen der Inhaltserschließung das Tagging-Verhalten der Nutzer des Social Bookmarking Dienstes Edutags am Beispiel der Onlineressourcen für das Fach Englisch. Zentrale Fragestellung ist, wie bei 'Edutags' der Recall beim Retrieval von fachspezifischen Ressourcen erhöht werden kann. Dazu wurden unzureichend indexierte Ressourcen ermittelt und auf ihre Relevanz für den Englischunterricht hin überprüft. Der intellektuell gesichtete Tag-Bestand zum Schulfach Englisch im Informationssystem Edutags wird untersucht und auf die Fachsystematik von der Suchmaschine für Unterrichtsmedien Elixier abgebildet. Im Anschluss werden auch die unzureichend indexierten Ressourcen systematisiert. Zum Schluss wird überlegt, welche Maßnahmen zur Verbesserung des Retrievals im Informationssystem Edutags ergriffen werden können. (DIPF/Autor)
DIPF-Abteilung:
Informationszentrum Bildung
Lexical substitution dataset for German
Cholakov, Kostadin; Biemann, Chris; Eckle-Kohler, Judith; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Calzolari, Nicoletta;Choukri,Khalid;Declerck,Thierry;Loftsson,Hrafn;Maegaard,Bente;Mariani,Joseph;Moreno,Asuncion;Odijk,Jan;Piperidis,Stelios (Hrsg.): Proceedings of the 9th International Conference on Language Resources and Evaluations (LREC 2014) | Reykjavik: European Language Resources Association | 2014
34575 Endnote
Autor*innen:
Cholakov, Kostadin; Biemann, Chris; Eckle-Kohler, Judith; Gurevych, Iryna
Titel:
Lexical substitution dataset for German
Aus:
Calzolari, Nicoletta;Choukri,Khalid;Declerck,Thierry;Loftsson,Hrafn;Maegaard,Bente;Mariani,Joseph;Moreno,Asuncion;Odijk,Jan;Piperidis,Stelios (Hrsg.): Proceedings of the 9th International Conference on Language Resources and Evaluations (LREC 2014), Reykjavik: European Language Resources Association, 2014 , S. 1406-1411
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/545_Paper.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Computerlinguistik; Computerunterstütztes Verfahren; Daten; Deutsch; Nachschlagewerk; Online; Sprachanalyse; Synonym; Textanalyse; World wide web 2.0; Wort
Abstract:
This article describes a lexical substitution dataset for German. The whole dataset contains 2,040 sentences from the German Wikipedia, with one target word in each sentence. There are 51 target nouns, 51 adjectives, and 51 verbs randomly selected from 3 frequency groups based on the lemma frequency list of the German WaCKy corpus. 200 sentences have been annotated by 4 professional annotators and the remaining sentences by 1 professional annotator and 5 additional annotators who have been recruited via crowdsourcing. The resulting dataset can be used to evaluate not only lexical substitution systems, but also different sense inventories and word sense disambiguation systems.
DIPF-Abteilung:
Informationszentrum Bildung
Automatically detecting corresponding edit-turn-pairs in Wikipedia
Daxenberger, Johannes; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. Short Papers | Stroudsburg; PA: Association for Computational Linguistics | 2014
34577 Endnote
Autor*innen:
Daxenberger, Johannes; Gurevych, Iryna
Titel:
Automatically detecting corresponding edit-turn-pairs in Wikipedia
Aus:
Association for Computational Linguistics (Hrsg.): Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. Short Papers, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 187-192
URL:
http://anthology.aclweb.org//P/P14/P14-2031.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computerunterstütztes Verfahren; Information; Nachschlagewerk; Online; Soziale Software; Textanalyse; Wissen; World wide web 2.0
Abstract:
In this study, we analyze links between edits in Wikipedia articles and turns from their discussion page. Our motivation is to better understand implicit details about the writing process and knowledge flow in collaboratively created resources. Based on properties of the involved edit and turn, we have defined constraints for corresponding edit-turn-pairs. We manually annotated a corpus of 636 corresponding and non-corresponding edit-turn-pairs. Furthermore, we show how our data can be used to automatically identify corresponding edit-turn-pairs. With the help of supervised machine learning, we achieve an accuracy of .87 for this task.
DIPF-Abteilung:
Informationszentrum Bildung
What makes a good biography? Multidimensional quality analysis based on Wikipedia article feedback […]
Flekova, Lucie; Ferschke, Oliver; Gurevych, Iryna
Sammelbandbeitrag
| Aus: IW3C2 (Hrsg.): Proceedings of the 23rd International World Wide Web Conference (WWW 2014) | Geneva: International World Wide Web Conferences Steering Committee | 2014
34576 Endnote
Autor*innen:
Flekova, Lucie; Ferschke, Oliver; Gurevych, Iryna
Titel:
What makes a good biography? Multidimensional quality analysis based on Wikipedia article feedback data
Aus:
IW3C2 (Hrsg.): Proceedings of the 23rd International World Wide Web Conference (WWW 2014), Geneva: International World Wide Web Conferences Steering Committee, 2014 , S. 855-866
DOI:
10.1145/2566486.2567972
URL:
http://dl.acm.org/citation.cfm?doid=2566486.2567972
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Bewertung; Biografie; Feedback; Information; Information Retrieval; Inhaltsanalyse; Nachschlagewerk; Online; Qualität; Qualitätssicherung; World wide web 2.0
Abstract:
With more than 22 million articles, the largest collaborative knowledge resource never sleeps, experiencing several article edits every second. Over one fifth of these articles describes individual people, the majority of which are still alive. Such articles are, by their nature, prone to corruption and vandalism. Manual quality assurance by experts can barely cope with this massive amount of data. Can it be effectively replaced by feedback from the crowd? Can we provide meaningful support for quality assurance with automated text processing techniques? Which properties of the articles should then play a key role in the machine learning algorithms and why? In this paper, we study the user-perceived quality of Wikipedia articles based on a novel Wikipedia user feedback dataset. In contrast to previous work on quality assessment which mostly relied on judgements of active Wikipedia authors, we analyze ratings of ordinary Wikipedia users along four quality dimensions (complete, well written, trustworthy and objective). We first present an empirical analysis of the novel dataset with over 36 million Wikipedia article ratings. We then select a subset of biographical articles and perform classification experiments to predict their quality ratings along each of the dimensions, exploring multiple linguistic, surface and network properties of the rated articles. Additionally, we study the classification performance and differences for the biographies of living and dead people as well as those for men and women. We demonstrate the effectiveness of our approach by the F1 scores of 0.94, 0.89, 0.73, and 0.73 for the dimensions complete, well written, trustworthy, and objective. Based on the results, we believe that the quality assessment of big textual data can be effectively supported by current text classification and language processing tools.
DIPF-Abteilung:
Informationszentrum Bildung
Information behavior in the Social Web. An overview of the German Educational Domain
Griesbaum, Joachim; Mahrholz, Nadine; Bertram, Jens; Pietras, Nadine; Rittberger, Marc
Sammelbandbeitrag
| Aus: iSchools (Hrsg.): iConference 2014 Proceedings | Chicago; IL: iSchools | 2014
34336 Endnote
Autor*innen:
Griesbaum, Joachim; Mahrholz, Nadine; Bertram, Jens; Pietras, Nadine; Rittberger, Marc
Titel:
Information behavior in the Social Web. An overview of the German Educational Domain
Aus:
iSchools (Hrsg.): iConference 2014 Proceedings, Chicago; IL: iSchools, 2014 , S. 356-371
DOI:
10.9776/14113
URL:
http://hdl.handle.net/2142/47297
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Analyse; Bildung; Bildungsangebot; Deutschland; Empirische Forschung; Gemeinschaft; Information; Informationsverhalten; Kommunikation; Medienangebot; Nutzerverhalten; Nutzung; Online; Qualität; Soziales Netzwerk; Soziale Software; Web log; World wide web 2.0
Abstract:
This paper explores participative Social Information Behavior in the educational domain. The goal is to capture a picture of current information practices in the Social Web. The focus is on the "places" and the scale of the Social Web in the domain, the communication dynamics and structure of communities and the specificities, quality, pragmatics and success of communication processes. The paper describes the concept and current implementation status of an online analysis approach and system that tries to answer these questions. Furthermore, first empirical results are presented. Data indicates that participative Social Information Behavior is of relevance in the domain: The volume of openly accessible user-generated content is impressive. The basic characteristics of analyzed forums suggest that such websites resemble sustainable knowledge building communities. Pre-tests regarding the analysis of communication processes denote that generated content can often be seen as a valuable information resource.
DIPF-Abteilung:
Informationszentrum Bildung
WordNet-Wikipedia-Wiktionary. Construction of a three-way alignment
Miller, Tristan; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Calzolari, Nicoletta;Choukri,Khalid;Declerck,Thierry;Loftsson,Hrafn;Maegaard,Bente;Mariani,Joseph;Moreno,Asuncion;Odijk,Jan;Piperidis,Stelios (Hrsg.): Proceedings of the 9th International Conference on Language Resources and Evaluations (LREC 2014) | Reykjavik: European Language Resources Association | 2014
34574 Endnote
Autor*innen:
Miller, Tristan; Gurevych, Iryna
Titel:
WordNet-Wikipedia-Wiktionary. Construction of a three-way alignment
Aus:
Calzolari, Nicoletta;Choukri,Khalid;Declerck,Thierry;Loftsson,Hrafn;Maegaard,Bente;Mariani,Joseph;Moreno,Asuncion;Odijk,Jan;Piperidis,Stelios (Hrsg.): Proceedings of the 9th International Conference on Language Resources and Evaluations (LREC 2014), Reykjavik: European Language Resources Association, 2014 , S. 2094-2100
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/4_Paper.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Analyse; Computerlinguistik; Evaluation; Nachschlagewerk; Online; Semantik; World wide web 2.0; Wort; Wörterbuch
Abstract:
The coverage and quality of conceptual information contained in lexical semantic resources is crucial for many tasks in natural language processing. Automatic alignment of complementary resources is one way of improving this coverage and quality; however, past attempts have always been between pairs of specific resources. In this paper we establish some set-theoretic conventions for describing concepts and their alignments, and use them to describe a method for automatically constructing n-way alignments from arbitrary pairwise alignments. We apply this technique to the production of a three-way alignment from previously published WordNet-Wikipedia and WordNet-Wiktionary alignments. We then present a quantitative and informal qualitative analysis of the aligned resource. The three-way alignment was found to have greater coverage, an enriched sense representation, and coarser sense granularity than both the original resources and their pairwise alignments, though this came at the cost of accuracy. An evaluation of the induced word sense clusters in a word sense disambiguation task showed that they were no better than random clusters of equivalent granularity. However, use of the alignments to enrich a sense inventory with additional sense glosses did significantly improve the performance of a baseline knowledge-based WSD algorithm.
DIPF-Abteilung:
Informationszentrum Bildung
The people's web meets NLP. Collaboratively Constructed Language Resources
Gurevych, Iryna; Kim, Jungi (Hrsg.)
Sammelband
| Dordrecht: Springer | 2013
32811 Endnote
Herausgeber*innen:
Gurevych, Iryna; Kim, Jungi
Titel:
The people's web meets NLP. Collaboratively Constructed Language Resources
Erscheinungsvermerk:
Dordrecht: Springer, 2013 (Theory and applications of natural language processing)
DOI:
10.1007/978-3-642-35085-6
URL:
https://link.springer.com/book/10.1007/978-3-642-35085-6
Dokumenttyp:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computerlinguistik; Computerspiel; Data Mining; Forschung; Gemeinschaft; Indexierung; Kooperation; Mehrsprachigkeit; Methodologie; Nachschlagewerk; Ontologie; Schreiben; Semantic Web; Soziale Software; Sprachanalyse; Sprache; Textanalyse; Textverarbeitung; Wissen; World wide web 2.0
Abstract (english):
The application of collective intelligence in the domain of language yielded collaboratively constructed language resources (CCLR) that can be used in a variety of ways. For example, Wikipedia, Wiktionary, and other language resources constructed through crowdsourcing such as Games with a Purpose and Mechanical Turk have been used in many ways in NLP. Researchers started using such resources to substitute for or supplement conventional lexical semantic resources such as WordNet or linguistically annotated corpora in different NLP tasks. Another research direction is to utilize NLP techniques to enhance the collaboration process and its outcome. Overall the emergence of CCLRs has generated new challenges to the research field that are to be addressed in the present book. As the research field of CCLRs matures, it has become necessary to summarize a set of results to advance and focus the further research effort.
DIPF-Abteilung:
Informationszentrum Bildung
Markierungen aufheben
Alle Treffer markieren
Export
<
1
2
(aktuell)
3
4
>
Alle anzeigen
(36)