Search (43 results, page 1 of 3)

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Abstract

This article presents a novel user-oriented interface for generalised informetric analysis and demonstrates how informetric calculations can easily and declaratively be specified through advanced data modelling techniques. The interface is declarative and at a high level. Therefore it is easy to use, flexible and extensible. It enables end users to perform basic informetric ad hoc calculations easily and often with much less effort than in contemporary online retrieval systems. It also provides several fruitful generalisations of typical informetric measurements like impact factors. These are based on substituting traditional foci of analysis, for instance journals, by other object types, such as authors, organisations or countries. In the interface, bibliographic data are modelled as complex objects (non-first normal form relations) and terminological and citation networks involving transitive relationships are modelled as binary relations for deductive processing. The interface is flexible, because it makes it easy to switch focus between various object types for informetric calculations, e.g. from authors to institutions. Moreover, it is demonstrated that all informetric data can easily be broken down by criteria that foster advanced analysis, e.g. by years or content-bearing attributes. Such modelling allows flexible data aggregation along many dimensions. These salient features emerge from the query interface's general data restructuring and aggregation capabilities combined with transitive processing capabilities. The features are illustrated by means of sample queries and results in the article.

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Abstract

The author presents a design case study of a search user interface for Web catalogs in the context of online shopping for consumer products such as clothing, furniture, and sporting goods. The case study provides a review of the user data for the user interface (UI), and the resulting redesign recommendations. Based on the case study and its user data, a set of common user requirements for searching in the context of online shopping is provided.

Date

22. 7.2006 18:23:19

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Abstract

The effect that content and layout of bibliographic displays had on the ability of end-users to process catalog information was tested using a 2 x 2 factorial experimental design. Participants were asked to perform two related tasks during the course of the experiment. In the first task, they were asked to select a set of items that they would examine further for a hypothetical paper they must write, using a simulated online catalog to make their assessments of relevance. In the second task, they were asked to examine 20 bibliographic records, decide whether they would choose to examine these items further on the shelf, and identify the data elements that they used to formulate their relevance decision. One group viewed bibliographic records on an interface similar to current online catalogs, one that used data labels and contained data elements commonly found. A second group viewed these records on an interface in which the labels had been removed, but the data elements were the same as those in the first. The third group viewed these records on a labeled display that included enhanced data elements on the brief record display. The final group viewed these records with the same brief record data elements as the third group, but with the labels removed, using ISBD and AACR2 punctuation standards. For the first task, participants using enhanced brief screen interfaces viewed more brief screens and fewer full screens than their counterparts. Screen durations for the second 10 screens were found to have dropped from those of the first 10 screens. Statistical analyses comparing demographic variables to the screen frequencies uncovered many significant differences. Participants using the enhanced-content interfaces made fewer selections from index and full screens, and more selections from brief screens. For the second task, participants who used enhanced-content interfaces were able to make some sort of relevance judgment more frequently than those who used standard-content interfaces.

Date

10. 9.2000 17:38:22

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Abstract

The authors describe user interface tools based on search histories to support legal information seekers. The design of the tools was informed by the results of a user study (Komlodi, 2002a) that examined the use of human memory, external memory aids, and search histories in legal information seeking and derived interface design recommendations for information storage and retrieval systems. The data collected were analyzed to identify potential task areas where search histories can support information seeking and use. The results show that many information-seeking tasks can take advantage of automatically and manually recorded history information. These findings encouraged the design of user interface tools building on search history information: direct search history displays, history-enabled scratchpad facilities, and organized results collection tools.

Date

22. 7.2006 18:04:19

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Abstract

The advent of the heterogeneous digital library provides the opportunity and establishes the need for the design of new user interfaces. As a single portal to a wide array of information sources, the heterogeneous digital library requires that a variety of cataloging schemas, subject domains, document genres, and institutional biases be accomodated. SenseMaker is a user-centered interface for information exploration in a heterogeneous digital library. It unifies citations and articles from heterogeneous sources by presenting them in a common schema with affordances for quick comparisons of properties. At the same time, SenseMaker users can recover a degree of context by iteratively organizing citations and articles into higher-level bundles based on either metadata or content. Furthermore, SenseMaker enables users to move fluidly from browsing to searching by introducing structure-based searching and structure-based filtering. This paper outlines the SenseMaker interface design and details some of our experimental findings surrounding its use

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Abstract

Visual Interfaces to Digital Libraries exploit the power of human vision and spatial cognition to help individuals mentally organize and electronically access and manage large and complex information spaces. They draw on progress in the field of information visualization and seek to shift the users' mental load from slow reading to faster perceptual processes such as visual pattern recognition.Based on two workshops, the book presents an introductory overview as well as a closing listing of the top ten problems in the area by the volume editors. Also included are 16 thoroughly reviewed and revised full papers organized in topical sections on visual interfaces to documents, document parts, document variants, and document usage data; visual interfaces to image and video documents; visualization of knowledge domains; cartographic interfaces to digital libraries; and a general framework.

Content

Enthält die Beiträge: Katy Börner and Chaomei Chen: Visual Interfaces to Digital Libraries: Motivation, Utilization, and Socio-technical Challenges - Part I. Visual interfaces to Documents, Document Parts, Document Variants, and Document Usage Data - George Buchanan, Ann Blandford, Matt Jones, and Harold Thimbleby: Spatial Hypertext as a Reader Tool in Digital Libraries; Michael Christoffel and Bethina Schmitt: Accessing Libraries as Easy as a Game; Carlos Monroy, Rajiv Kochumman, Richard Furuta, and Eduardo Urbina: Interactive Timeline Viewer (ItLv): A Tool to Visualize Variants Among Documents; Mischa Weiss-Lijn, Janet T. McDonnell, and Leslie James: An Empirical Evaluation of the Interactive Visualization of Metadata to Support Document Use; Stephen G. Eick: Visual Analysis of Website Browsing Patterns - Part II. Visual Interfaces to Image and Video Documents - Adrian Graham, Hector Garcia-Molina, Andreas Paepcke, and Terry Winograd: Extreme Temporal Photo Browsing; Michael G. Christel: Accessing News Video Libraries through Dynamic Information Extraction, Summarization, and Visualization; Anselm Spoerri: Handwritten Notes as a Visual Interface to Index, Edit and Publish Audio/Video Highlights - Part III. Visualization of Knowledge Domains - Jan W. Buzydlowski, Howard D. White, and Xia Lin: Term Co-occurrence Analysis as an Interface for Digital Libraries; Kevin W. Boyack, Brian N. Wylie, and George S. Davidson: Information Visualization, Human-Computer Interaction, and Cognitive Psychology: Domain Visualizations - Part IV. Cartographic Interfaces to Digital Libraries - André Skupin: On Geometry and Transformation in Map-Like Information Visualization; Guoray Cai: GeoVIBE: A Visual Interface for Geographic Digital Libraries: Teong Joo Ong, John J. Leggett, Hugh D. Wilson, Stephan L. Hatch, and Monique D. Reed: Interactive Information Visualization in the Digital Flora of Texas; Dan Ancona, Mike Freeston, Terry Smith, and Sara Fabrikant: Visual Explorations for the Alexandria Digital Earth Prototype - Part V. Towards a General Framework - Rao Shen, Jun Wang, and Edward A. Fox: A Lightweight Protocol between Digital Libraries and Visualization Systems; Chaomei Chen and Katy Börner: Top Ten Problems in Visual Interfaces to Digital Libraries

Date

22. 2.2003 17:25:39
22. 3.2008 15:02:37

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Date

22. 2.2003 17:25:39
22. 2.2003 18:16:22

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Date

22. 2.2003 17:25:39
22. 2.2003 18:13:11

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Date

22. 2.2003 17:25:39
22. 2.2003 18:15:14

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Date

22. 2.2003 17:25:39
22. 2.2003 18:20:07

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Date

22. 2.2003 17:25:39
22. 2.2003 18:19:01

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Date

22. 2.2003 17:25:39
22. 2.2003 18:17:40

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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.

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Theme

Data Mining

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Date

26.10.2008 19:31:22

Source

Mitteilungsblatt der Bibliotheken in Niedersachsen und Sachsen-Anhalt. 2008, H.139, S.22-24

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Date

22. 7.2006 17:37:31

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Date

22. 7.2006 17:56:22

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Abstract

When faced with an interface to an unknown system or device humans adopt exploratory interactive behaviour in order to gain information and insight. This paper describes a computer program which probes, observes and models the input-output space of unknown systems. We use a schema concept as the memory structure for recording events and adopt a constructive approach that avoids preprocessing the raw data. We believe qualitative assessments are important in early analysis and employ techniques from qualitative reasoning research in order to capture correlation behaviour. The aim is to gain insight into the nature of an unknown system for guidance in future model selection. A series of experiments and their results are discussed, together with the assumptions and limitations of the method. We suggest further developments for future experiments that appear promising.

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Abstract

Relationships can provide a rich and powerful set of information and can be used to accomplish application goals, such as information retrieval and natural language processing. A growing trend in the information science community is the use of information visualization-taking advantage of people's natural visual capabilities to perceive and understand complex information. This chapter explores how visualization and visual exploration can help users gain insight from known relationships and discover evidence of new relationships not previously anticipated.

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Source

Information processing and management. 43(2007) no.1, S.47-64