Search (271 results, page 1 of 14)

  • × theme_ss:"Suchtaktik"
  • × type_ss:"a"
  1. Verlic, Z.; Repinc, U.: Informacijsko vedenje z iskalno strategijo (2000) 0.05 
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    Type
    a
  2. Einsporn, N.: Fachinformationen im WWW (2006) 0.04 
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    Abstract
    Mittels professioneller Suchtechniken lässt sich die Recherche im WWW wesentlich schneller und zuverlässiger gestalten. Selbst eine universelle Suchmaschine, wie Google, erlaubt mittels spezieller Suchfunktionen qualifizierte Recherchen über den Freitext hinaus. Von besonderer Bedeutung sind hier die Selektion nach Domainnamen und die Einbeziehung der URL. In Kombination mit dem Verständnis der Ranking-Techniken, z. B. der Prioritäten der im HTML-Quelltext verankerten inhaltlichen Meta-Informationen (Title-Tag, Meta-Tags Keywords, Description) gegenüber dem Standardverfahren (Google PageRank) lässt sich die Recherche auf professionelle Informationsangebote ausrichten. Eine weitere Qualifizierung lässt sich durch geschickten Einsatz der Phrasensuche erreichen. In jedem Fall setzt eine erfolgreiche Recherche, auch bei scheinbar einfachen Benennungen und Zusammenhängen eine intellektuelle Recherchevorbereitung voraus - bei der zunächst das Thema strukturiert und dann eine Vorstellung über die möglichen Zusammenhänge entwickelt wird, in der die Zielinformation im WWW zu finden sein könnte. Soweit die Möglichkeit besteht, sollte bei anspruchsvollen technischwissenschaftlichen Themen der WWW-Suche eine Recherche in professionellen Literaturdatenbanken vorausgehen. Diese haben den Vorzug, dass eine transparente und sorgfältig selektierte Quellenbasis vorliegt und durch Suche mit kontrolliertem Wortschatz die typischen Unschärfen einer Freitextrecherche (unerwünschte Zusammenhänge, Synonyme, Homonyme, Schreibvarianten usw.) umgangen werden können. Die FIZ-Technik-Inform GmbH bietet kostenpflichtige Weiterbildungsveranstaltungen auch zur WWW-Recherche an.
    Type
    a
  3. Ehrmann, D.: Technikinformationen : Suchstrategien für Textdatenbanken (1988) 0.03 
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    Source
    Fachwissen Online-Recherche: Suchstrategien in Online-Datenbanken. Von W. Claassen u.a
    Type
    a
  4. Mattmann, B.; Regenass, N.: ¬Eine neue Form der Recherche in Bibliotheken : "Suchschlitz" contra Exploration - Reduktion statt Orientierung? (2021) 0.03 
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    Abstract
    Suchportale von Bibliotheken haben im Laufe der Zeit immer stärker eine Reduktion auf einfachste Suchmöglichkeiten im Stile von Google erfahren. Das kommt zwar den Gewohnheiten der Nutzer:innen entgegen, schränkt aber die Möglichkeiten einer fundierten Recherche ein. Abhilfe schaffen explorative Suchinstrumente. Damit diese ökonomisch und bedarfsgerecht realisiert werden können, braucht es eine hohe Datenqualität und einen standardisierten Werkzeugkasten zur Umsetzung von Rechercheoberflächen. Anstelle eines Ausbaus der Funktionen von Suchportalen empfiehlt sich daher eine Ausrichtung und Individualisierung zusätzlicher Recherchetools auf konkrete Anwendungskontexte und Nutzertypen.
    Footnote
    Beitrag in einem Schwerpunktheft: Transfer und Transformation - Bibliotheken als Vermittler im globalen Kontext. Kolloquium anlässlich des 80. Geburtstages von Elmar Mittler.
    Type
    a
  5. Hapke, T.: Recherchestrategien in elektronischen Datenbanken : Inhaltliche Elemente der Schulung von Informationskompetenz (nicht nur) an Universitätsbibliotheken (1999) 0.03 
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  6. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.02 
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    Abstract
    Query classification is an important part of exploring the characteristics of web queries. Existing studies are mainly based on Broder's classification scheme and classify user queries into navigational, informational, and transactional categories according to users' information needs. In this article, we present a novel classification scheme from the perspective of queries' temporal patterns. Queries' temporal patterns are inherent time series patterns of the search volumes of queries that reflect the evolution of the popularity of a query over time. By analyzing the temporal patterns of queries, search engines can more deeply understand the users' search intents and thus improve performance. Furthermore, we extract three groups of features based on the queries' search volume time series and use a support vector machine (SVM) to automatically detect the temporal patterns of user queries. Extensive experiments on the Million Query Track data sets of the Text REtrieval Conference (TREC) demonstrate the effectiveness of our approach.
    Type
    a
  7. Morse, P.M.: Search theory and browsing (1970) 0.02 
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    Date
    22. 5.2005 19:53:09
    Type
    a
  8. Morse, P.M.: Browsing and search theory (1973) 0.02 
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    Date
    22. 5.2005 19:52:29
    Source
    Toward a theory of librarianship. Papers in honor of J.H. Shera. Ed. by H. Rawski
    Type
    a
  9. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.02 
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    Content
    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
    Type
    a
  10. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.02 
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
    Type
    a
  11. Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009) 0.02 
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    Abstract
    It is widely believed that many queries submitted to search engines are inherently ambiguous (e.g., java and apple). However, few studies have tried to classify queries based on ambiguity and to answer "what the proportion of ambiguous queries is". This paper deals with these issues. First, we clarify the definition of ambiguous queries by constructing the taxonomy of queries from being ambiguous to specific. Second, we ask human annotators to manually classify queries. From manually labeled results, we observe that query ambiguity is to some extent predictable. Third, we propose a supervised learning approach to automatically identify ambiguous queries. Experimental results show that we can correctly identify 87% of labeled queries with the approach. Finally, by using our approach, we estimate that about 16% of queries in a real search log are ambiguous.
    Type
    a
  12. Bense, H.: Finden ohne Suchen : automatische Benachrichtigungen über relevante wissenschaftliche Publikationen mit regelbasierter KI (2021) 0.02 
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    Abstract
    Jeden Tag erscheint eine Flut neuer wissenschaftlichen Publikationen. Für Forscher ist es schwierig, dabei den Überblick zu behalten. Aktualität und Relevanz der Ergebnislisten von Suchmaschinen wie Google, scholar.google.com und wissenschaftlichen Suchportalen entsprechen oft nicht den Erwartungen der Forscher. Vorgestellt wird eine Methode, die als Finden ohne Suchen (FwS = finding without searching) bezeichnet wird. Diese Methode nutzt künstliche Intelligenz in Kombination mit ausdrucksstarken benutzerdefinierten Regeln für Benachrichtigungen über neue Publikationen über eine App.
    Type
    a
  13. Liu, Z.; Jansen, B.J.: ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering (2017) 0.01 
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    Abstract
    Many people turn to their social networks to find information through the practice of question and answering. We believe it is necessary to use different answering strategies based on the type of questions to accommodate the different information needs. In this research, we propose the ASK taxonomy that categorizes questions posted on social networking sites into three types according to the nature of the questioner's inquiry of accuracy, social, or knowledge. To automatically decide which answering strategy to use, we develop a predictive model based on ASK question types using question features from the perspectives of lexical, topical, contextual, and syntactic as well as answer features. By applying the classifier on an annotated data set, we present a comprehensive analysis to compare questions in terms of their word usage, topical interests, temporal and spatial restrictions, syntactic structure, and response characteristics. Our research results show that the three types of questions exhibited different characteristics in the way they are asked. Our automatic classification algorithm achieves an 83% correct labeling result, showing the value of the ASK taxonomy for the design of social question and answering systems.
    Type
    a
  14. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.01 
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    Date
    5. 8.2006 13:22:44
    Type
    a
  15. Nicholas, D.; Williams, P.: ¬The changing information environment : the impact of the Internet on information seeking behaviour in the media (1999) 0.01 
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    Abstract
    Journalists were chosen for study because it was felt that they would be, as information seekers and packagers par excellence, in the advanced guard of Internet users and setting the pace. As it turned out this was not to be case. Despite what appear to be the considerable and direct benefits for them, after having interviewed approximately 150 journalists and observed the action in a variety of news rooms, it appears that less than one in five national journalist use the Internet and the proportion is much less than that for regional journalists. If this poor Internet take up in the workplace was unexpected, another surprise is the characteristics of those who have actually taken the Internet route. Far from being the stereotypical young and male, most are well practised journalist into their thirties/forties, which, of course, runs counter to all that we have been led to believe. Surprisingly, the study showed as much, if not more, interest in using the Internet from the supposedly `busy' senior managers and editors than in the rank and file.
    Content
    Beitrag über das Suchverhalten von Journalisten
    Type
    a
  16. Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005) 0.01 
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    Abstract
    Most information systems share a common assumption: information seeking is discrete. Such an assumption neither reflects real-life information seeking processes nor conforms to the perspective of phenomenology, "life is a journey constituted by continuous acquisition of knowledge." Thus, this study develops and validates a theoretical model that explains successive search experience for essentially the same information problem. The proposed model is called Multiple Information Seeking Episodes (MISE), which consists of four dimensions: problematic situation, information problem, information seeking process, episodes. Eight modes of multiple information seeking episodes are identified and specified with properties of the four dimensions of MISE. The results partially validate MISE by finding that the original MISE model is highly accurate, but less sufficient in characterizing successive searches; all factors in the MISE model are empirically confirmed, but new factors are identified as weIl. The revised MISE model is shifted from the user-centered to the interaction-centered perspective, taking into account factors of searcher, system, search activity, search context, information attainment, and information use activities.
    Date
    10. 4.2005 14:52:22
    Type
    a
  17. Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : part II: empirical verification (2007) 0.01 
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    Abstract
    Purpose - This is part II of on-going research, the purpose being to establish a creative information-seeking model. Design/methodology/approach - Two studies were conducted to examine the subjects' creative information seeking behaviours and the extent to which they exhibited the proposed stages in creative information seeking when accomplishing a directed and an open-ended information-seeking task respectively. Findings - Findings seemed to indicate that all the subjects underwent the proposed stages although they seemed to embrace characteristics of these stages in varying degrees. Findings also showed that if subjects performed the proposed stages more iteratively or non-sequentially, then a greater amount of creativity was needed to accomplish the information-seeking task. Originality/value - The paper offers a discussion on the relationships between creativity, complexity of tasks, and levels of expertise in domain knowledge.
    Date
    23.12.2007 12:22:16
    Type
    a
  18. Limberg, L.: Three conceptions of information seeking and use (1999) 0.01 
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    Abstract
    This study grew out of a need for better research based understanding of information seeking and use in a specific context. Several researchers in library and information studies (LIS) pointed out the predominance of research on information needs and information seeking and expressed a need for the study of information use (i.a. Kuhlthau 1993; Vakkari 1997; Wilson 1981). The role of context for information seeking behaviour has been stressed (i.a. Dervin 1997; Wilson 1981, 1994). The complex process of information seeking and use in learning contexts needs further exploration, according to i.a. Kuhlthau (1993). My research project investigated how students used information and what they learnt from the information they retrieved and used for an assignment. The aim of the project was to study information seeking through an explorative investigation of the interaction between information seeking and use and learning outcomes.
    Date
    22. 3.2002 9:53:10
    Type
    a
  19. Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002) 0.01 
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    Abstract
    In this paper results of a field study into the need for research information of different user groups are presented: scientists, policy makers and policy researchers, industry and media. Main questions of semi-structured interviews were: what kind of research information users need, what kind of research information resources are used and which information resources are missing at the moment. User groups are missing for a diversity of reasons the overview of research, experts and institutes in the different scientific fields. Especially for the accessibility and transparency of the scientific world these overviews are reported to be needed. Neither Google nor any of the research institutes or policy research organisations are able to present surveys for different science fields at the moment. Giving users the possibility to search, browse and navigate through accessible and more specialised layers of research information might give answers to different user groups simultaneously.
    Date
    2. 7.2005 12:22:50
    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
    Type
    a
  20. Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006) 0.01 
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    Abstract
    The authors report on an experimental study on the differences between spoken and written queries. A set of written and spontaneous spoken queries are generated by users from written topics. These two sets of queries are compared in qualitative terms and in terms of their retrieval effectiveness. Written and spoken queries are compared in terms of length, duration, and part of speech. In addition, assuming perfect transcription of the spoken queries, written and spoken queries are compared in terms of their aptitude to describe relevant documents. The retrieval effectiveness of spoken and written queries is compared using three different information retrieval models. The results show that using speech to formulate one's information need provides a way to express it more naturally and encourages the formulation of longer queries. Despite that, longer spoken queries do not seem to significantly improve retrieval effectiveness compared with written queries.
    Date
    5. 6.2006 11:22:23
    Type
    a

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