Interactive Visualization of Retrieved Information

1999

The idea of Information Visualization is to get insights into great amounts of abstract data. Especially document sets found by searching the World Wide Web are a sp ecial challenge. The paper gives a short overview on the variety of possible visualizations for this application area. Crucial factors for the success of visualization s are discussed. A combined approach is presented to use alternative simple visualizations, grouped around the traditional result-list, for usage with a local meta web search engine.

2000

This paper discusses the evaluation of a visual information seeking system for the Web called INSYDER. The aim of INSYDER is to find business information on the Web. The evaluation compares different visualizations including HTML-List, ResultTable, ScatterPlot, BarGraph and SegmentViews. These visualizations support the interpretation of the search result phase of the information seeking process. First results of the evaluation with forty users are presented and an outlook on future work is given.

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99, 1999

Although there have been many prototypes of visualization in support of information retrieval, there has been little systematic evaluation that distinguishes the benefits of the visualization per se from that of various accompanying features. The current study focuses on such an evaluation of NIRVE, a tool that supports visualization of search results. Insofar as possible, functionally equivalent 3D, 2D, and text versions of NIRVE were implemented. Nine novices and six professional users completed a series of information-seeking tasks on a set of retrieved documents. There were high interface costs for the 3D visualization, although those costs decreased substantially with experience. Performance was best when the tool's properties matched task demands; only under the right combination of task, user, and interface did 3D visualization result in performance comparable to functionally matched 2D and textual tools.

1999

Although there have been many prototypes of visualization in support of information retrieval, there has been little systematic evaluation that distinguishes the benefits of the visualization per se from that of various accompanying features. The current study focuses on such an evaluation of NIRVE, a tool that supports visualization of search results. Insofar as possible, functionally equivalent 3D, 2D, and text versions of NIRVE were implemented. Nine novices and six professional users completed a series of information-seeking tasks on a set of retrieved documents. There were high interface costs for the 3D visualization, although those costs decreased substantially with experience. Performance was best when the tool's properties matched task demands; only under the right combination of task, user, and interface did 3D visualization result in performance comparable to functionally matched 2D and textual tools.

Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14, 2014

It argues for making use of text structure when retrieving from full text documents and presents a visualization paradigm called Tile-Bars. The result lists of popular web search engines represent retrieved documents with a title a brief textual summary and a URL into the conventional search result interface. A set of guidelines for the design of exploratory search interfaces. An thoughtful of the impact of categorized overviews on search tactics will be useful to Web search developers. The image in our model is the solar system with its planets and asteroids revolving around the sun. Position, shade, effort, and three-dimensional distance of objects in the visual space are used to represent the semantic relationships between a query and relevant Web pages. It deals with a certain session of optimization methods, based on conservativeconvexseparable approximations (CCSA), for solving inequality-constrained nonlinear programming problems.

WSSP. Madrid, Spain, 2009

Search on today's Web is influenced by the early Web that was primarily text-based: search parameters are typically entered as text queries and the resulting resources are mostly displayed as textual lists. To gain an overview of the information space and the retrieved resources, the information seeker has to issue several search queries and skim many search results. In this paper we show how visualization widgets (VisGets) are a viable way to query and visualize multiple types of Web data. We have applied VisGets to three prominent resource types on the Web-hypertext, syndicated content, and Semantic Web data-and discuss the limitations of the VisGets prototype and the challenges of this approach.

Journal of the American Society for …, 2001

This paper presents a visual technique for representing search-engine results: the R-Wheel. The paper shows how the R-Wheel can be adapted to weight the relevance of individual terms of a multi-term query for input to a search-engine. Five experiments are described requiring users to differentiate the importance of terms in a multi-term query; rank R-Wheels with the same and differing overall relevance; shade segments of an RWheel in proportion to the relevance of a query term; compare the R-Wheel with other representations and rank the representations in order of ease of interpretation. The paper concludes that the R-Wheel appears to be a valuable tool in visualising search engine results.

Lecture Notes in Computer Science, 2007

Search engines and metasearch engines on the World Wide Web typically display representative information such as the result document titles and snippets in a one-dimensional ranked list. Alternatively, a few others such as Clusty and Kartoo cluster their results so that users can, to a certain extent, interact with documents, keywords and/or clusters. The number of documents that can be effectively presented in one screen is usually limited to between 10 and 20. In this paper, we propose a method based on treemap visualization that substantially improve the information compactness. In addition, it provides a few unique post-search interaction methods that enable a user to manage a large number of results. An online prototype system is built. Various experiments are designed and done to evaluate the efficiency, effectiveness and usability.

The Information Retrieval Series, 2008

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