Search (23 results, page 1 of 2)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Suchtaktik"
  1. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.03 
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    BK
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    Classification
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    Isbn
    978-1-78560-968-8
  2. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.01 
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    Abstract
    Viele Uni-Bibliotheken ordnen ihre Bücher nicht, man geht einfach die Regale ab, bis man beim richtigen Buchstaben oder Thema angekommen ist. Doch so nervtötend muss die Suche nach dem richtigen Buch gar nicht sein - Tipps für eine erfolgreiche Suche.
    Content
    "In einer öffentlichen Bücherei ist die Suche nach einem Werk recht einfach: Man geht einfach die Regale ab, bis man beim richtigen Buchstaben oder Thema angekommen ist. In vielen wissenschaftlichen Bibliotheken ist das komplizierter. Denn dort müssen sich Studenten durch Datenbanken und Zettelkataloge wühlen. "Eine Ausnahme ist der Lesesaal, erklärt Marlene Grau, Sprecherin der Staats- und Universitätsbibliothek in Hamburg. Im Lesesaal stehen die Bücher wie in einer öffentlichen Bibliothek in Reih und Glied nach Fachgebieten wie Jura, Biologie oder Medizin sortiert. So können Studenten ein wenig schmökern und querbeet lesen. Wer jedoch ein bestimmtes Werk sucht, nutzt besser gleich den Katalog der Bibliothek. Darin lässt sich zum einen nach dem Autor oder einem Titelstichwort suchen - in der Biologie etwa "Fliege" oder "Insekt". "Dann kann man hoffen, dass Bücher zum Thema das Stichwort im Titel enthalten", sagt Grau. Die andere Variante ist, nach einem Schlagwort zu suchen. Um das passende zu finden, kann man im Schlagwort-Index blättern. Oder man sucht nach einem bekannten Buch, das zum Thema passt. Dann kann man mit dessen Schlagwörtern weitersuchen. Der Vorteil: Bücher müssen dieses Schlagwort nicht im Titel enthalten. Buchtitel wie 'Keine Angst vor Zahlen' oder 'Grundkurs Rechnen' findet man über die Schlagworte 'Mathematik' und 'Einführung', aber mit Stichworten eher nicht", erklärt Ulrich Hohoff. Er leitet die Universitätsbibliothek in Augsburg.
    Im Online-Katalog erfahren Studenten auch, ob das Buch verfügbar oder verliehen ist. Ist es gerade vergriffen, kann man es vormerken lassen, er- klärt Monika Ziller, Vorsitzen- de des Deutschen Bibliotheksverbands in Berlin. Dann werden die Studenten entsprechend benachrichtigt, wenn es zurückgegeben wurde. Außerdem könnten Studenten virtuelle Fachbibliotheken nutzen, erklärt Grau. Um das Thema Slavistik kümmert sich etwa die Staatsbibliothek in Berlin. Auf der Internetseite kann man über Suchbegriffe alle elektronischen Slavistik-Angebote wie Zeitschriften, E-Books oder Bibliografien durchforsten. Die virtuelle Fachbibliothek spuckt dann eine Titelliste aus. Bestenfalls können Studenten gleich auf einzelne Volltexte der Liste zugreifen. Oder sie müssen schauen, ob die eigene Bibliothek das gesuchte Werk hat. Vor allem Zeitschriften sind oft online im Volltext abrufbar, aber auch Enzyklopädien. "Die sind auch aktueller als der Brockhaus von 1990, der zu Hause im Regal steht" sagt Grau. Manchmal ließen sich die Texte aus Gründen des Urheberrechts aber nur auf den Rechnern auf dem Unicampus lesen, ergänzt Hohoff. Findet man ein Buch nicht, ist der Grund dafür oft ein Fehler, der sich bei der Suche eingeschlichen hat. Das fängt bei der Rechtschreibung an: "Bibliothekskataloge verfügen über keine fehlertolerante Suche wie Google", erklärt Ziller.
    "Ein häufiger Fehler ist auch, bei Google nach Büchern zu suchen", sagt Grau. Die Suchmaschine enthält keine Bibliotheksdaten. Außerdem sollten Studenten darauf achten, ob sie nach einem Zeitschriften-Artikel oder einer Monografie suchen. Benötigt man einen Aufsatz, muss man nach dem Titel der Zeitschrift und nicht nach dem Titel des Artikels suchen. Wichtig ist auch, den Suchschlüssel zu beachten. Wer nach dem Autor Johann Wolfgang von Goethe sucht, aber das Wort in der Titelsuche eingibt, bekommt andere Treffermengen. Studenten sollten die Suche auch nicht zu sehr eingrenzen. "Dann findet man nichts", warnt Grau. Andererseits darf man auch nicht zu allgemein suchen. Wer nach einem Buch zur deutschen Geschichte sucht, bekommt bei der Eingabe von "deutsche Geschichte" Tausende Treffer. "Da muss man den richtigen Suchschlüssel auswählen", erklärt Grau. Wer im Feld "Titelanfänge" etwa "deutsche Geschichte" eingibt, finde alle Titel mit diesen Wörtern in genau dieser Reihenfolge. Er lande also nicht beim Buch "Deutsche Naturlyrik: ihre Geschichte in Einzelanalysen". Das ist bei weit gefassten Begriffen sehr wichtig und hilfreich."
    Date
    3. 5.1997 8:44:22
    Series
    Magazin: Beruf und Bildung
  3. Carstens, C.: Ontology based query expansion : retrieval support for the domain of educational research (2012) 0.01 
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    Abstract
    Diese Arbeit untersucht, wie sich eine Forschungskontext-Ontologie als Quelle für die Generierung von Query-Expansion-Termen in einem Retrievalsystem für die Domäne der Erziehungswissenschaft nutzen lässt. Durch die Kombination traditioneller, groß angelegter automatischer Retrievalexperimente und nutzerzentrierter interaktiver Retievalexperimente wird ein umfassendes Bild der Effekte ontologiebasierter Query Expansion gezeichnet. Während die automatischen Experimente die Expansionseffekte einzelner Arten ontologiebasierter Expansionsterme im Detail untersuchen, beleuchten die interaktiven Experimente, wie ontologiebasierte Expansionsmechanismen das Suchverhalten der Nutzer sowie ihren Sucherfolg beeinflussen.
    Series
    Schriften zur Informationswissenschaft; Bd.60
  4. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.01 
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    Series
    Schriften zur Informationswissenschaft; Bd.58
    Source
    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  5. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.00 
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    Date
    26. 1.2014 18:48:22
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
  6. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  7. Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019) 0.00 
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    Date
    20. 1.2015 18:30:22
    1. 5.2020 19:46:11
  8. Wacholder, N.: Interactive query formulation (2011) 0.00 
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    Source
    Annual review of information science and technology. 45(2011) no.1, S.157-196
  9. Xie, I.; Joo, S.: Factors affecting the selection of search tactics : tasks, knowledge, process, and systems (2012) 0.00 
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    Date
    29. 1.2016 19:02:38
  10. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.00 
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    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
  11. Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.00 
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    Date
    25. 1.2016 18:46:22
  12. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.00 
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    Date
    9.12.2018 16:22:25
  13. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.00 
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    Date
    20. 1.2015 18:30:22
  14. Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014) 0.00 
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    20. 1.2015 18:30:22
  15. Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012) 0.00 
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    Abstract
    This research investigates how people's perceptions of information retrieval (IR) systems, their perceptions of search tasks, and their perceptions of self-efficacy influence the amount of invested mental effort (AIME) they put into using two different IR systems: a Web search engine and a library system. It also explores the impact of mental effort on an end user's search experience. To assess AIME in online searching, two experiments were conducted using these methods: Experiment 1 relied on self-reports and Experiment 2 employed the dual-task technique. In both experiments, data were collected through search transaction logs, a pre-search background questionnaire, a post-search questionnaire and an interview. Important findings are these: (1) subjects invested greater mental effort searching a library system than searching the Web; (2) subjects put little effort into Web searching because of their high sense of self-efficacy in their searching ability and their perception of the easiness of the Web; (3) subjects did not recognize that putting mental effort into searching was something needed to improve the search results; and (4) data collected from multiple sources proved to be effective for assessing mental effort in online searching.
  16. He, W.; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system (2017) 0.00 
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    Abstract
    This article reports on a longitudinal analysis of query logs of a web-based case library system during an 8-year period (from 2005 to 2012). The analysis studies 3 different information-seeking approaches: keyword searching, browsing, and case-based reasoning (CBR) searching provided by the system by examining the query logs that stretch over 8 years. The longitudinal dimension of this study offers unique possibilities to see how users used the 3 different approaches over time. Various user information-seeking patterns and trends are identified through the query usage pattern analysis and session analysis. The study identified different user groups and found that a majority of the users tend to stick to their favorite information-seeking approach to meet their immediate information needs and do not seem to care whether alternative search options will offer greater benefits. The study also found that return users used CBR searching much more frequently than 1-time users and tend to use more query terms to look for information than 1-time users.
  17. Lu, L.; Yuan, U.: Shall I Google it or ask the competent villain down the hall? : the moderating role of information need in information source selection (2011) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.133-145
  18. Foss, E.; Druin, A.; Yip, J.; Ford, W.; Golub, E.; Hutchinson, H.: Adolescent search roles (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.1, S.173-189
  19. Sanchiza, M.; Chinb, J.; Chevaliera, A.; Fuc, W.T.; Amadieua, F.; Hed, J.: Searching for information on the web : impact of cognitive aging, prior domain knowledge and complexity of the search problems (2017) 0.00 
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    Information processing and management. 53(2017) no.1, S.281-294
  20. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.113-128

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