Search (9 results, page 1 of 1)

0.018905414 = product of:
  0.06616895 = sum of:
    0.027269559 = weight(_text_:wide in 4268) [ClassicSimilarity], result of:
      0.027269559 = score(doc=4268,freq=4.0), product of:
        0.1312982 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.029633347 = queryNorm
        0.2076918 = fieldWeight in 4268, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4268)
    0.010461091 = weight(_text_:web in 4268) [ClassicSimilarity], result of:
      0.010461091 = score(doc=4268,freq=2.0), product of:
        0.09670874 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.029633347 = queryNorm
        0.108171105 = fieldWeight in 4268, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4268)
    0.015728222 = weight(_text_:information in 4268) [ClassicSimilarity], result of:
      0.015728222 = score(doc=4268,freq=54.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.3023455 = fieldWeight in 4268, product of:
          7.3484693 = tf(freq=54.0), with freq of:
            54.0 = termFreq=54.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4268)
    0.012710081 = weight(_text_:retrieval in 4268) [ClassicSimilarity], result of:
      0.012710081 = score(doc=4268,freq=4.0), product of:
        0.08963835 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.029633347 = queryNorm
        0.1417929 = fieldWeight in 4268, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0234375 = fieldNorm(doc=4268)
  0.2857143 = coord(4/14)

Abstract

Computers have become our companions in many of the activities we pursue in our life. They assist us, in particular, in searching relevant information that is needed to perform a variety of tasks, from professional usage to personal entertainment. They hold this information in a huge number of heterogeneous sources, either dedicated to a specific user community (e.g., enterprise databases) or maintained for the general public (e.g., websites and digital libraries). Whereas progress in basic information technology is nowadays capable of guaranteeing effective information management, information retrieval and dissemination has become a core issue that needs further accomplishments to achieve user satisfaction. The research communities in databases, information retrieval, information visualization, and human-computer interaction have already largely investigated these domains. However, the technical environment has so dramatically evolved in recent years, inducing a parallel and very significant evolution in user habits and expectations, that new approaches are definitely needed to meet current demand. One of the most evident and significant changes is the human-computer interaction paradigm. Traditional interactions relayed an programming to express user information requirements in formal code and an textual output to convey to users the information extracted by the system. Except for professional data-intensive application frameworks, still in the hands of computer speciahsts, we have basically moved away from this pattern both in terms of expressing information requests and conveying results. The new goal is direct interaction with the final user (the person who is looking for information and is not necessarily familiar with computer technology). The key motto to achieve this is "go visual." The well-known high bandwidth of the human-vision channel allows both recognition and understanding of large quantities of information in no more than a few seconds. Thus, for instance, if the result of an information request can be organized as a visual display, or a sequence of visual displays, the information throughput is immensely superior to the one that can be achieved using textual support. User interaction becomes an iterative query-answer game that very rapidly leads to the desired final result. Conversely, the system can provide efficient visual support for easy query formulation. Displaying a visual representation of the information space, for instance, lets users directly point at the information they are looking for, without any need to be trained into the complex syntax of current query languages. Alternatively, users can navigate in the information space, following visible paths that will lead them to the targeted items. Again, thanks to the visual support, users are able to easily understand how to formulate queries and they are likely to achieve the task more rapidly and less prone to errors than with traditional textual interaction modes.
The two facets of "going visual" are usually referred to as visual query systems, for query formulation, and information visualization, for result display. Visual Query Systems (VQSs) are defined as systems for querying databases that use a visual representation to depict the domain of interest and express related requests. VQSs provide both a language to express the queries in a visual format and a variety of functionalities to facilitate user-system interaction. As such, they are oriented toward a wide spectrum of users, especially novices who have limited computer expertise and generally ignore the inner structure of the accessed database. Information visualization, an increasingly important subdiscipline within the field of Human-Computer Interaction (HCI), focuses an visual mechanisms designed to communicate clearly to the user the structure of information and improve an the cost of accessing large data repositories. In printed form, information visualization has included the display of numerical data (e.g., bar charts, plot charts, pie charts), combinatorial relations (e.g., drawings of graphs), and geographic data (e.g., encoded maps). In addition to these "static" displays, computer-based systems, such as the Information Visualizer and Dynamic Queries, have coupled powerful visualization techniques (e.g., 3D, animation) with near real-time interactivity (i.e., the ability of the system to respond quickly to the user's direct manipulation commands). Information visualization is tightly combined with querying capabilities in some recent database-centered approaches. More opportunities for information visualization in a database environment may be found today in data mining and data warehousing applications, which typically access large data repositories. The enormous quantity of information sources an the World-Wide Web (WWW) available to users with diverse capabilities also calls for visualization techniques. In this article, we survey the main features and main proposals for visual query systems and touch upon the visualization of results mainly discussing traditional visualization forms. A discussion of modern database visualization techniques may be found elsewhere. Many related articles by Daniel Keim are available at http://www. informatik.uni-halle.de/dbs/publications.html.

Source

Encyclopedia of library and information science. Vol.72, [=Suppl.35]

0.015292764 = product of:
  0.07136623 = sum of:
    0.024409214 = weight(_text_:web in 579) [ClassicSimilarity], result of:
      0.024409214 = score(doc=579,freq=2.0), product of:
        0.09670874 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.029633347 = queryNorm
        0.25239927 = fieldWeight in 579, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=579)
    0.01730016 = weight(_text_:information in 579) [ClassicSimilarity], result of:
      0.01730016 = score(doc=579,freq=12.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.3325631 = fieldWeight in 579, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=579)
    0.029656855 = weight(_text_:retrieval in 579) [ClassicSimilarity], result of:
      0.029656855 = score(doc=579,freq=4.0), product of:
        0.08963835 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.029633347 = queryNorm
        0.33085006 = fieldWeight in 579, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0546875 = fieldNorm(doc=579)
  0.21428572 = coord(3/14)

Abstract

This study explores an image-based retrieval interface for drug information, focusing on usability for a specific population - seniors. Qualitative, task-based interviews examined participants' health information behaviors and documented search strategies using an existing database (www.drugs.com) and a new prototype that uses similarity-based clustering of pill images for retrieval. Twelve participants (aged 65 and older), reflecting a diversity of backgrounds and experience with Web-based resources, located pill information using the interfaces and discussed navigational and other search preferences. Findings point to design features (e.g., image enlargement) that meet seniors' needs in the context of other health-related information-seeking strategies (e.g., contacting pharmacists).

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1610-1617

0.014524874 = product of:
  0.067782745 = sum of:
    0.019725623 = weight(_text_:web in 2643) [ClassicSimilarity], result of:
      0.019725623 = score(doc=2643,freq=4.0), product of:
        0.09670874 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.029633347 = queryNorm
        0.2039694 = fieldWeight in 2643, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=2643)
    0.01210759 = weight(_text_:information in 2643) [ClassicSimilarity], result of:
      0.01210759 = score(doc=2643,freq=18.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.23274568 = fieldWeight in 2643, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=2643)
    0.035949536 = weight(_text_:retrieval in 2643) [ClassicSimilarity], result of:
      0.035949536 = score(doc=2643,freq=18.0), product of:
        0.08963835 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.029633347 = queryNorm
        0.40105084 = fieldWeight in 2643, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.03125 = fieldNorm(doc=2643)
  0.21428572 = coord(3/14)

Content

1. Introduction Web search engines and digital libraries usually expect the users to use search terms that most accurately represent their information needs. Finding the most appropriate search terms to represent an information need is an age old problem in information retrieval. Keyword or phrase search may produce good search results as long as the search terms or phrase(s) match those used by the authors and have been chosen for indexing by the concerned information retrieval system. Since this does not always happen, a large number of false drops are produced by information retrieval systems. The retrieval results become worse in very large systems that deal with millions of records, such as the Web search engines and digital libraries. Vocabulary control tools are used to improve the performance of text retrieval systems. Thesauri, the most common type of vocabulary control tool used in information retrieval, appeared in the late fifties, designed for use with the emerging post-coordinate indexing systems of that time. They are used to exert terminology control in indexing, and to aid in searching by allowing the searcher to select appropriate search terms. A large volume of literature exists describing the design features, and experiments with the use, of thesauri in various types of information retrieval systems (see for example, Furnas et.al., 1987; Bates, 1986, 1998; Milstead, 1997, and Shiri et al., 2002).

Source

Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine

Theme

Klassifikationssysteme im Online-Retrieval

0.0113271745 = product of:
  0.07929022 = sum of:
    0.019976506 = weight(_text_:information in 549) [ClassicSimilarity], result of:
      0.019976506 = score(doc=549,freq=4.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.3840108 = fieldWeight in 549, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.109375 = fieldNorm(doc=549)
    0.05931371 = weight(_text_:retrieval in 549) [ClassicSimilarity], result of:
      0.05931371 = score(doc=549,freq=4.0), product of:
        0.08963835 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.029633347 = queryNorm
        0.6617001 = fieldWeight in 549, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.109375 = fieldNorm(doc=549)
  0.14285715 = coord(2/14)

Source

Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly

0.0056131016 = product of:
  0.03929171 = sum of:
    0.013347364 = weight(_text_:information in 617) [ClassicSimilarity], result of:
      0.013347364 = score(doc=617,freq=14.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.256578 = fieldWeight in 617, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=617)
    0.025944345 = weight(_text_:retrieval in 617) [ClassicSimilarity], result of:
      0.025944345 = score(doc=617,freq=6.0), product of:
        0.08963835 = queryWeight, product of:
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.029633347 = queryNorm
        0.28943354 = fieldWeight in 617, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.024915 = idf(docFreq=5836, maxDocs=44218)
          0.0390625 = fieldNorm(doc=617)
  0.14285715 = coord(2/14)

Abstract

The study adopts a naturalistic approach to investigate users' interaction with a browsable MeSH (medical subject headings) display designed to facilitate query construction for the PubMed bibliographic database. The purpose of the study is twofold: first, to test the usefulness of a browsable interface utilizing the principle of faceted classification; and second, to investigate users' preferred query submission methods in different problematic situations. An interface that incorporated multiple query submission methods - the conventional single-line query box as well as methods associated the faceted classification display was constructed. Participants' interactions with the interface were monitored remotely over a period of 10 weeks; information about their problematic situations and information retrieval behaviors were also collected during this time. The traditional controlled experiment was not adequate in answering the author's research questions; hence, the author provides his rationale for a naturalistic approach. The study's findings show that there is indeed a selective compatibility between query submission methods provided by the MeSH display and users' problematic situations. The query submission methods associated with the display were found to be the preferred search tools when users' information needs were vague and the search topics unfamiliar. The findings support the theoretical proposition that users engaging in an information retrieval process with a variety of problematic situations need different approaches. The author argues that rather than treat the information retrieval system as a general purpose tool, more attention should be given to the interaction between the functionality of the tool and the characteristics of users' problematic situations.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.1998-2006

0.0052298876 = product of:
  0.07321842 = sum of:
    0.07321842 = weight(_text_:elektronische in 3465) [ClassicSimilarity], result of:
      0.07321842 = score(doc=3465,freq=2.0), product of:
        0.14013545 = queryWeight, product of:
          4.728978 = idf(docFreq=1061, maxDocs=44218)
          0.029633347 = queryNorm
        0.5224832 = fieldWeight in 3465, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.728978 = idf(docFreq=1061, maxDocs=44218)
          0.078125 = fieldNorm(doc=3465)
  0.071428575 = coord(1/14)

Abstract

Literatur zu speziellen Themen zu finden, gleicht oftmals der berühmten Suche nach der Nadel im Heuhaufen. Selbst elektronische Bibliothekskataloge haben hieran nur wenig geändert. Eine neue Oberfläche soll künftig die Suche erheblich erleichtern

9.6690713E-4 = product of:
  0.013536699 = sum of:
    0.013536699 = weight(_text_:information in 4991) [ClassicSimilarity], result of:
      0.013536699 = score(doc=4991,freq=10.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.2602176 = fieldWeight in 4991, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4991)
  0.071428575 = coord(1/14)

Abstract

Je mehr Informationen gleichzeitig, übersichtlich dargestellt und überwacht werden können, desto höher wird der Informations-Nutzen für einen Besucher oder potentiellen Kunden von ihnen sein. Da wir in einer Zeit der Informationsüberflutung leben, hilft uns das Information-Panel in Zukunft als multimediales Informationssystem. Ein Interface ist in unserem heutigen multimedialen Umfeld ein Bestandteil eines Systems, das dem Austausch von Informationen dient. Durch Information-Panels (sog. I-Panels) kann der Mensch mit Geräten interagieren, indem er sich wahlweise die für ihn masßgeschneiderten Informationen darstellen lässt. Für den Interface-Theoretiker Artur P. Schmidt können Information-Panels heute als eine Art Enzyklopädie für Informationen und Nachrichten aller Art dienen, wie sein Internet-Projekt "Der Wissensnavigator" belegt. Das Vorbild für multimediale Panels ist die geordnete Verbindung von Inhalten. Das Information-Panel als MenschMaschine-Interface kann zum "Punkt der Begegnung" oder "Kopplung zwischen zwei oder mehr Systemen" werden. Es übernimmt eine Übersetzung- und Vermittlungsfunktion.

5.04483E-4 = product of:
  0.0070627616 = sum of:
    0.0070627616 = weight(_text_:information in 3432) [ClassicSimilarity], result of:
      0.0070627616 = score(doc=3432,freq=2.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.13576832 = fieldWeight in 3432, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3432)
  0.071428575 = coord(1/14)

Source

nfd Information - Wissenschaft und Praxis. 50(1999) H.2, S.79-86

2.8827597E-4 = product of:
  0.0040358636 = sum of:
    0.0040358636 = weight(_text_:information in 692) [ClassicSimilarity], result of:
      0.0040358636 = score(doc=692,freq=2.0), product of:
        0.052020688 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.029633347 = queryNorm
        0.0775819 = fieldWeight in 692, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=692)
  0.071428575 = coord(1/14)

Content

"Die Recherche im "klassischen" OPAC verlangt eine exakte Formulierung der Suchanfrage, aber viele Bibliotheksbenutzer wissen nicht genau, wonach sie eigentlich suchen. So bleiben oft wertvolle Treffer oder sogar Teile des Bibliotheksbestandes von den Bibliotheksbenutzern unentdeckt. Ein neues Produkt in der Angebotspalette des Bibliothekssoftware-Herstellers BOND GmbH & Co. KG schafft Abhilfe: Der AquaBrowser Library. Er sprengt die Grenzen der konventionellen OPAC-Suche und bietet ein neues, "ergonomisches" Sucherlebnis: die erste progressive und interaktive Suchumgebung. AquaBrowser Library bezieht in die OPAC-Suche automatisch assoziative Begriffe, Synonyme, unterschiedliche Schreibweisen, Übersetzungen sowie den Kontext mit ein. So werden automatisch neue Suchpfade generiert, der Suchbereich und somit auch das Trefferspektrum erweitert. Als Ergebnis erhält der Informationssuchende eine umfangreichere und qualitativ präzisere Ergebnisliste. Das Suchergebnis geht weit über eine Suchliste hinaus: Der Suchbegriff eines Benutzers wird mit den im Bibliothekskatalog enthaltenen Metadaten verglichen. Dabei werden assoziative Begriffe, Synonyme, alternative Schreibweisen, Übersetzungen in Fremdsprachen sowie der Kontext mit einbezogen. Daraus generiert sich automatisch eine visuelle Karte, die so genannte "Word Cloud". Sie stellt alle Assoziationen oder Überblicke über interessante Themenbereiche grafisch logisch dar. Die Begriffe sind Vorschläge und Hilfestellungen für den Bibliotheksbenutzer. Per Klick auf die "Word Cloud" kann er so neue Informationen entdecken und seine Suchanfrage präzisieren und lenken. Beispielsweise werden Tippfehler erkannt und alternative Schreibweisen angeboten. Gibt ein Leser den Suchbegriff "Auto" ein, beinhaltet das Suchergebnis auch Medien zu "PKW", "Kraftfahrzeug" oder "KFZ". Es werden sogar Treffer angezeigt, bei denen der gesuchte Begriff in einer anderen Sprache (englisch, spanisch oder niederländisch) im Katalogisat hinterlegt ist (z.B. car). Bei jeder Suchabfrage erstellt AquaBrowser Library automatisch eine Liste relevanter Kriterien, nach denen der Benutzer seine Ergebnisse filtern kann. Ein Klick auf ein Kriterium genügt und schon werden die Suchergebnisse präzisiert. Auf diese Weise schränken Mediensuchende die Treffer zielgenau ein und gelangen so schnell und exakt zu der spezifischen Information, die sie brauchen. Die Verfeinerungskriterien sind übersichtlich anhand von Kategorien gegliedert (z.B. Schlagwort, Verfasser, Sprache, Personen, Thema, Reihe oder Jahr)."